Dissertations / Theses on the topic 'Homophilie sur les réseaux sociaux'
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Taramasco, Toro Carla Andrea. "Impact de l'obésité sur les structures sociales et impact des structures sociales sur l'obésité." Palaiseau, Ecole polytechnique, 2011. http://pastel.archives-ouvertes.fr/pastel-00629904.
Full textI will propose a theoretical framework (conceptualization and formalization) which seeks to model obesity as a process of transformation of one's own body determined by individual (physical and psychological), inter-individual (relational, relationship between the individual and others) and socio-cultural factors (environmental, relationship between the individual and his milieu). Individual and inter-individual factors are tied to each other in a socio-cultural context whose impact is notably related to the visibility of any body being exposed on the public stage in a non-contingent way. To investigate obesity in this multifactorial manner, this paper is divided in two main parts. First, I take into account these inseparable factors to analyze the impact through time that obese individual transformation may have on the social structure. With this aim, I develop a network model in which individual interactions are in part due to homophilic selection/deselection, i. E. Preferential attachment and detachment of inter-individual links according to characteristics of the individuals involved. Homophily is here defined as the tendency of an individual to create links with other individuals sharing similar attributes with him and to cut links with other dissimilar individuals. Homophily suggests that individuals tend to interact with those who resemble them. Second, and reciprocally, I study the role which could be played by the structure of the social fabric in the increase and current development of obesity. I evaluate the impact of micro level (i. E : relations between individuals) as well as the impact of meso level (i. E : relations between districts) and between macro level (i. E :countries). This approach highlights the necessity to integrate the dynamics of each scale to better understand the evolution of the pathology. With this aim, I use two stochastic models : epidemiological compartmental model and individual centered network model, considering three influences : exogenous heterogeneous (individual- cultural), exogenous homogeneous (individual-social) and endogenous (individual-individual). All together, this investigation of obesity will allow me to investigate the social and cultural dimension involved in being and transforming one's body
Valat, Emmanuel. "Réseaux de relations et appariements sur le marché du travail : essais théoriques et empiriques." Thesis, Paris 2, 2012. http://www.theses.fr/2012PA020068/document.
Full textThis work aims at contributing to analyze the role of word-of-mouth communication in the job matching process. If employers and job seekers are used to relying on their social relations, the percentage of jobs finally filled through socialnetworks varies between geographical areas. In the first chapter, we analyze, through a matching model of the labormarket à la Pissarides (2000) with social networks, the potential influence of the level of both professional concentration and ethnic diversity in the area. We find that the rise of professional concentration has a positive impact on the distribution of information through contacts. However, if ethnic origin is the single criterion influencing networks formation, it has a negative impact. In the second chapter, we re-evaluate the results of chapter one in an extended theoretical framework: workers have different level of qualification, some employed workers are overqualified and search on-the-job to improve their situation. Our results indicate that on-the-job search has a negative impact on the word-of-mouth communication process. In the third chapter, we show, from the French Trajectories and Origins survey from Ined/Insee (2008) that the rise of ethnic diversity has a positive impact on word-of-mouth communication in the labor market. Still from the same dataset, we find, in chapter four, that job offers provided by contacts are generally not appropriate to workers competences
Martins, Abreu Luis Carlos. "Essays in Applied Economic Theory of Online News and Networks." Thesis, Toulouse 1, 2022. http://www.theses.fr/2022TOU10015.
Full textThe first chapter of this thesis considers an ad-financed media firm that chooses the ideological location of its news and targets consumers who can share the news with their followers on social media. After studying how each targeted consumer's incentive to share the news is shaped by the location of the news and the distribution of her followers’ ideological locations, we study the firm's strategy to maximize the breadth of news sharing and find that when the mean (respectively, the variance) of the followers' ideological locations is a convex (respectively, concave) function of a targeted consumer's location, the firm is likely to produce polarized news.In the second chapter, we consider a monopoly platform providing a continuum of vertically differentiated content and study the design of the optimal screening contracts when consumers have binary types. A contract specifies a set of content, a price and whether or not the content consumption is subject to advertising. We distinguish top-down content allocations from bottom-up allocations and allow for informational bundling of a content set. We find that advertising can induce the platform to use bottom-up allocation for low-type consumers while subscription-based contracts always use top-down allocations. Advertising tends to induce the platform to expand the amount of content consumed by resorting to informational bundling, which increases consumer surplus. When content consumption cannot be subsidized by a negative price, the platform may find it optimal to offer a freemium contract, which expands (reduces) the consumption set, relative to the case of consumption subsidy, for bottom-up allocations (top-down allocations) and thereby increases (reduces) consumer surplus. Finally, when high types experience larger ad nuisance than low types, the platform may have a socially excessive incentive to show advertising to low types in order to extract the information rent of high types.In the third chapter, we study equilibrium patent licensing networks that arise among symmetric competing firms. We consider licensing agreements that cannot specify royalties but can use fixed fees and focus on bilaterally-efficient networks. We find that the complete network, which generates the most competitive outcome is always bilaterally efficient. When there are three symmetric firms, we provide a complete characterization of all bilaterally-efficient licensing networks. When patents are independent, we find that the star network leading to monopoly is never bilaterally efficient. In particular, when the cost reduction from patent is large enough, there is a big contrast: although a multilateral licensing agreement allows the firms to implement the monopoly outcome, the complete network is the unique bilaterally-efficient network. We provide a general condition under which the complete network is both the unique bilaterally-efficient outcome and the unique industry-profit-maximizing outcome for any given number of firms. Our results offer clear-cut policy implications in favor of fixed-fee licensing relative to two-part tariff licensing including royalties
Dahimene, Mohammed Ryadh. "Filtrage et Recommandation sur les Réseaux Sociaux." Thesis, Paris, CNAM, 2014. http://www.theses.fr/2015CNAM0945/document.
Full textIn the last years, the amount of available data on the social Web has exploded. For the average user, it became hard to find quality content without being overwhelmed with publications. For service providers, the scalability of such services became a challenging task. The aim of this thesis is to achieve a better user experience by offering the filtering and recommendation features. Filtering consists to provide for a given user, the ability of receiving only a subset of the publications from the direct network. Where recommendation allows content discovery by suggesting relevant content producers on given topics. We developed MicroFilter, a scalable filtering system able to handle Web-like data flows and RecLand, a recommender system that takes advantage of the network topology as well as the content in order to provide relevant recommendations
Zardi, Hédia. "Détection des communautés dans les réseaux sociaux dynamiques : une approche multi-agents." Thesis, Paris 6, 2016. http://www.theses.fr/2016PA066147.
Full textAnalysis of social networks has led to the discovery of a very interesting property : these networks are characterized by the existence of areas with high density composed of highly interconnected elements. These areas called "communities", evolve over time according to the dynamic of social members and their interactions. The identification of these communities offers an interesting light on the network structure and it allows to track their progress over time. Although this problem has been the subject of numerous studies in recent years, the detection of dynamic communities remains an open problem and no fully satisfactory solution has yet been proposed. In this work, we propose a multi-agent approach for the detection of communities in dynamic social networks. The entities of our approach observe the evolution of the network and consequently they adapt in real time the graph representing the network and they generate the appropriate changes on previously identified communities. This approach allows to model the network by a graph that dynamically adapts according to the evolution of the network. For this modeling, several network’s aspects are integrated: the topological structure of the graph, the semantic similarity of social members and the communication between them. This modeling is based on the concept of homophily and a pheromone based stigmergy. In order to study the performances of the proposed approach, we applied it to a divers set of real and artificial graphs. The results were satisfactory enough and show the good performance of our model
Lalanne, Marie. "Essais sur l'économie des réseaux sociaux et du genre." Thesis, Toulouse 1, 2013. http://www.theses.fr/2013TOU10046.
Full textThis thesis investigates one factor that may differ across men and women and may contribute to their differentlabor market outcomes: social networks. The objective of this work is twofold. On the one hand, it is important tounderstand whether men and women differ in the way they form their social networks. On the other hand, it isnecessary to pay particular attention to how men and women use their social networks for job-related benefits, inorder to understand whether social networks form part of the explanation behind persistent gender differences inthe labor market.The first chapter tries to assess whether men and women differ in terms of their social network formation. It teststwo hypotheses, based on sexual selection theory, about gender differences in individual choices with respect tosocial interactions that require investment (of time or economic resources). The differential selectivity hypothesispredicts that women invest less than men in interactions with new partners, all other things being equal. Thedifferential opportunism hypothesis predicts that women’s investments in social interactions are less responsive toinformation about the likely economic payoff to these investments. Both hypotheses, if true, imply importantdifferences in the formation of social networks by women and men. Evidence is found in support of the twohypotheses, using two cohorts of a total of 363 students that were matched randomly over two rounds withpartners to play trust games.The second chapter investigates whether social networks yield different salary benefits for some 22,000 male andfemale senior executive and non-executive board members in European and US firms. The number of currentlyinfluential individuals with whom executive men have previously worked has a large positive impact on their salary,while the impact for executive women is significantly weaker, and statistically distinguishable from zero only incertain years. These findings also hold for non-salaried remuneration. Using a placebo measure of individuals whowere employed in the same firm as the individuals, but at different times, it is shown that the network measuresreflect genuine connections and not merely unobserved individual characteristics. In contrast to executives, nonexecutiveboard members do not display systematic gender differences in the effectiveness with which theyleverage their links into remuneration. The possible mechanisms at play are explored, and it appears that the firmswhich do the most to integrate women into positions of executive power appear to rely less on networks forrecruitment.The third chapter focuses on the role of social networks in outside board appointments. Using data on US publiclyquoted companies from 2003 to 2012, prior employment links between candidates and the current directors sittingon the board are uncovered by studying the employment history of candidates and board members anddetermining whether they have previously worked together. This works shows that having historical connectionswith board members increases the probability of being appointed as an outside director, and knowing the CEO inparticular increases this probability further. On the contrary, being connected with members of the nominationcommittee in particular does not improve the chances of being appointed to the board above and beyond theeffect of knowing any board member. Future research should determine whether the effect of social networks onoutside board appointments is detrimental or not for firm performance and corporate governance in general
Haikel-Elsabeh, Nour. "Les motivations à partager sur les réseaux sociaux numériques." Thesis, Paris 10, 2014. http://www.theses.fr/2014PA100055/document.
Full textEWord of Mouth (eWOM) influences consumers who belong to brand communities on Facebook. The aim of this thesis is to analyze the antecedents for eWOM on brand communities on Facebook. The thesis proposes an analysis of eWOM’s antecedents: brand engagement, identification to brand communities, general tendency to share on Facebook
Bouhini, Chahrazed. "Impact des réseaux sociaux sur le processus de recherche d’information." Thesis, Saint-Etienne, 2014. http://www.theses.fr/2014STET4027/document.
Full textThe emergence of social media has revolutionized the web by allowing individuals to extend their virtual connection in a more real relationship and share knowledge. This new context of information dissemination on the Web can be an effective way to identify the information needs of Web users, and allow information retrieval (IR) to better meet these needs by adapting the indexing and querying models. The information retrieval faced several challenges with the use of social networks, the most important concerns the representation of information in a personalized social IR (PSIR) model and its evaluation in the absence of a social test collections with the user-centered data (user-centered queries and user-centered relevance judgments). We propose to benefit from the use of the user generated content (UGC) on the social networks to personalize his social search in order to better fit his interests and preferences. The main contributions of our work consist of, on the one hand, building a social profile from the UGC within the social network. We propose then a personalized social information retrieval models which integrate the user’s social profile at various levels of the IR process. On the other hand, with the objective of evaluating our PSIR models on a dedicated test collection, we propose a PSIR test collection "DelRSI" we built from the collaborative social bookmarking network "Delicious" ; a PSIR test collection containing in addition to the classical IR test collection’s data, a user-centered data
Teixeira, Manuela. "L'émergence de réseaux sociaux sur le Web comme nouveaux outils de marketing." Thesis, University of Ottawa (Canada), 2009. http://hdl.handle.net/10393/28444.
Full textSanchez, Viera Talia. "Prédiction de comportements toxiques à partir des messages sur les réseaux sociaux." Master's thesis, Université Laval, 2020. http://hdl.handle.net/20.500.11794/66590.
Full textThe objective of this study is to explore three different techniques to predict toxicity online community users. Our main motivation is to help the moderators of these communities to focus their efforts on users who are more likely to write toxic messages, and thus avoid wasting time and resources by monitoring the entire community. First, we created a mathematical model capable of predicting the five personality traits of the OCEAN model (Openness, Conscientiousness, Extraversion, Agreeableness and Neuroticism) and the three traits of the Dark Triad (Narcissism, Machiavellianism and Psychopathy) for auser, based on their writing style and choice of vocabulary. The experiments we performed with this model on users of the Twitter and Reddit communities have shown that there is a relationship between a user’s personality and the level of toxicity of their messages. In particular, we found that users with high values of narcissism, Machiavellianism and psychopathy andlow values of conscientiousness and agreeableness were more likely to write toxic messages. For our second technique, we applied clustering algorithms on the predicted personality traits andon the observed language characteristics. This allowed us to show that it is possible to detect clusters of potentially risky users without having to create a profile for each user. Finally, we created a regression model to estimate the level of toxicity of users based on their linguistic attributes alone. We observed that the users predicted to have higher toxicity levels by our regression model are also those who have a very high value of Dark Triad traits according to our personality model.
Messi, Nguele Thomas. "DSL pour la fouille des réseaux sociaux sur des architectures Multi-coeurs." Thesis, Université Grenoble Alpes (ComUE), 2018. http://www.theses.fr/2018GREAM040/document.
Full textA complex network is a set of entities in a relationship, modeled by a graph where nodes represent entities and edges between nodes represent relationships. Graph algorithms have inherent characteristics, including data-driven computations and poor locality. These characteristics expose graph algorithms to several challenges, because most well studied (parallel) abstractions and implementation are not suitable for them. The main question in this thesis is how to develop graph analysis applications that are both --easy to write (implementation challenge), -- and efficient (performance challenge)? We answer this question with parallelism (parallel DSLs) and also with knowledge that we have on complex networks (complex networks properties such as community structure and heterogeneity of node degree).The first contribution of this thesis shows the exploitation of community structure in order to design community-aware graph ordering for cache misses reduction. We proposed NumBaCo and compared it with Gorder and Rabbit (which appeared in the literature at the same period NumBaCo was proposed). This comparison allowed to design Cn-order, another heuristic that combines advantages of the three algorithms (Gorder, Rabbit and NumBaCo) to solve the problem of complex-network ordering for cache misses reduction. Experimental results with one thread on Core2, Numa4 and Numa24 (with Pagerank and livejournal for example) showed that Cn-order uses well the advantages of the other orders and outperforms them.The second contribution of this thesis considered the case of multiple threads applications. In that case, cache misses reduction was not sufficient to ensure execution time reduction; one should also take into account load balancing among threads. In that way, heterogeneity of node degree was used in order to design Deg-scheduling, a heuristic to solve degree-aware scheduling problem. Deg-scheduling was combined to Cn-order, NumBaCo, Rabbit, and Gorder to form respectively Comm-deg-scheduling, Numb-deg-scheduling, Rab-deg-scheduling and Gor-deg-scheduling. Experimental results with many threads on Numa4 showed that Degree-aware scheduling heuristics (Comm-deg-scheduling, Numb-deg-scheduling, Rab-deg-scheduling and Gor-deg-scheduling) outperform their homologous graph ordering heuristics (Cn-order, NumBaCo, Rabbit, and Gorder) when they are compared two by two.The last contribution was the integration of graph ordering heuristics and degree-aware scheduling heuristics in graph DSLs and particularly Galois and Green-Marl DSLs. We showed that with Green-Marl, performances are increased by both graph ordering heuristics and degree-aware scheduling heuristics (time was reduced by 35% due to heuristics). But with Galois, performances are increased only with graph ordering heuristics (time was reduced by 48% due to heuristics).In perspective, instead of using complex networks properties to design heuristics, one can imagine to use machine learning. Another perspective concerns the theoretical aspect of this thesis. We showed that graph ordering for cache misses reduction and degree-aware scheduling for load balancing problems are NP-complete. We provided heuristics to solve them. But we didn't show how far these heuristics are to the optimal solutions. It is good to know it in the future
Abid, Younes. "Analyse automatisée des risques sur la vie privée dans les réseaux sociaux." Thesis, Université de Lorraine, 2018. http://www.theses.fr/2018LORR0088/document.
Full textIn this thesis we shed the light on the danger of privacy leakage on social network. We investigate privacy breaches, design attacks, show their feasibility and study their accuracies. This approach helps us to track the origin of threats and is a first step toward designing effective countermeasures. We have first introduced a subject sensitivity measure through a questionnaire survey. Then, we have designed on-line friendship and group membership link disclosure (with certainty) attacks on the largest social network “Facebook”. These attacks successfully uncover the local network of a target using only legitimate queries. We have also designed sampling techniques to rapidly collect useful data around a target. The collected data are represented by social-attribute networks and used to perform attribute inference (with uncertainty) attacks. To increase the accuracy of attacks, we have designed cleansing algorithms. These algorithms quantify the correlation between subjects, select the most relevant ones and combat data sparsity. Finally, we have used a shallow neural network to classify the data and infer the secret values of a sensitive attribute of a given target with high accuracy measured by AUC on real datasets. The proposed algorithms in this work are included in a system called SONSAI that can help end users analyzing their local network to take the hand over their privacy
Lapointe, Sabrina. "L'intimité sur les réseaux sociaux numériques : une étude exploratoire sur la perception des jeunes femmes." Mémoire, Université de Sherbrooke, 2016. http://hdl.handle.net/11143/9493.
Full textManiu, Silviu. "Gestion des données dans les réseaux sociaux." Thesis, Paris, ENST, 2012. http://www.theses.fr/2012ENST0053/document.
Full textWe address in this thesis some of the issues raised by the emergence of social applications on the Web, focusing on two important directions: efficient social search inonline applications and the inference of signed social links from interactions between users in collaborative Web applications. We start by considering social search in tagging (or bookmarking) applications. This problem requires a significant departure from existing, socially agnostic techniques. In a network-aware context, one can (and should) exploit the social links, which can indicate how users relate to the seeker and how much weight their tagging actions should have in the result build-up. We propose an algorithm that has the potential to scale to current applications, and validate it via extensive experiments. As social search applications can be thought of as part of a wider class of context-aware applications, we consider context-aware query optimization based on views, focusing on two important sub-problems. First, handling the possible differences in context between the various views and an input query leads to view results having uncertain scores, i.e., score ranges valid for the new context. As a consequence, current top-k algorithms are no longer directly applicable and need to be adapted to handle such uncertainty in object scores. Second, adapted view selection techniques are needed, which can leverage both the descriptions of queries and statistics over their results. Finally, we present an approach for inferring a signed network (a "web of trust")from user-generated content in Wikipedia. We investigate mechanisms by which relationships between Wikipedia contributors - in the form of signed directed links - can be inferred based their interactions. Our study sheds light into principles underlying a signed network that is captured by social interaction. We investigate whether this network over Wikipedia contributors represents indeed a plausible configuration of link signs, by studying its global and local network properties, and at an application level, by assessing its impact in the classification of Wikipedia articles.javascript:nouvelleZone('abstract');_ajtAbstract('abstract')
Lootvoet, Erik. "Approche institutionnelle de l'influence et de la sensibilité des organisations : Le cas de l'adoption des pratiques visant à réduire les infections nosocomiales dans les établissements de soins français." Phd thesis, Jouy-en Josas, HEC, 2009. http://pastel.archives-ouvertes.fr/pastel-00005179.
Full textGabielkov, Maksym. "Comment se propagent les informations sur Twitter ?" Thesis, Nice, 2016. http://www.theses.fr/2016NICE4031/document.
Full textThis thesis presents the measurement study of Online Social Networks focusing on Twitter. Twitter is one of the largest social networks using exclusively directed links among accounts. This makes the Twitter social graph much closer to the social graph supporting real life communications than, for instance, Facebook. Therefore, understanding the structure of the Twitter social graph and the way information propagates through it is interesting not only for computer scientists, but also for researchers in other fields, such as sociologists. However, littles is known about the information propagation in Twitter. In the first part, we present an in-depth study of the macroscopic structure of the Twitter social graph. In the second part, we study the propagation of the news media articles shared on Twitter. In the third part we present an experimental study of graph sampling
Damani, Kinjal. "Les pratiques enseignantes sur les réseaux sociaux : les enseignants entre fantasmes et réalités." Rouen, 2015. http://www.theses.fr/2015ROUEL007.
Full textThe objective of this study is to understand, using a psychoanalytic clinical approach, the use or non-use of social networks like Facebook by teachers. The initial component of the study entailed the passive observation of the Facebook pages of 15 secondary and high school teachers in Europe that had been set up on their own initiative to interact with their students. To facilitate these observations, data was extracted manually from their Facebook pages over a period of seven months, from September 01, 2010 to March 31, 2011. The next component of the study consisted of 18 non-directive/unstructured interviews conducted in English or French with secondary and high school teachers. Our findings suggest that the in-between of Facebook is like a melting-pot where the teacher’s identity is constructed for some teachers and restored for others. Various types of interactions between teachers and students are described and the implications of the findings are discussed. The thesis concludes with practical recommendations for researchers and educators
Reiffers-Masson, Alexandre. "Compétition sur la visibilité et la popularité dans les réseaux sociaux en ligne." Thesis, Avignon, 2016. http://www.theses.fr/2016AVIG0210/document.
Full textThis Ph.D. is dedicated to the application of the game theory for the understanding of users behaviour in Online Social Networks. The three main questions of this Ph.D. are: " How to maximize contents popularity ? "; " How to model the distribution of messages across sources and topics in OSNs ? "; " How to minimize gossip propagation and how to maximize contents diversity? ". After a survey concerning the research made about the previous problematics in chapter 1, we propose to study a competition over visibility in chapter 2. In chapter 3, we model and provide insight concerning the posting behaviour of publishers in OSNs by using the stochastic approximation framework. In chapter 4, it is a popularity competition which is described by using a differential game formulation. The chapter 5 is dedicated to the formulation of two convex optimization problems in the context of Online Social Networks. Finally conclusions and perspectives are given in chapter 6
Bihanic, David. "Espace, lieux et "hypercartes" : étude sur la spatialité des réseaux et la géographie d'information." Paris 1, 2007. http://www.theses.fr/2007PA010724.
Full textHagenbach, Jeanne. "Communication stratégique et réseaux." Phd thesis, Université Panthéon-Sorbonne - Paris I, 2009. http://tel.archives-ouvertes.fr/tel-00450632.
Full textBen, Yahia Imene. "Influence des bénéfices perçus par les membres des communautés virtuelles de support initiées par les entreprises sur leurs intentions comportementales." Paris 9, 2009. https://portail.bu.dauphine.fr/fileviewer/index.php?doc=2009PA090001.
Full textThe objective of this doctoral work is to test and explain the influence of perceived benefits by members of companies’ virtual communities of support on their behavioural intentions towards their products. An ethnographic study was first carried and completed the instructions of the literature. Then, a data collecting was done in virtual communities of support of some software éditors. The results of this research proove that perceived benefits favour members’ bahaviour if the company participates actively in the activities of its community. Besides, the results demonstrate this influence operates olso through the member’s sense of community
Saba, Stéphanie. "Marché et réseaux : l'influence des liens interindividuels sur l'efficacité des échanges." Thesis, Paris 2, 2016. http://www.theses.fr/2016PA020008/document.
Full textHow to define and measure trust is still an enigma in economics, philosophy and sociology. This "three papers" thesis compares two different mechanisms - egotiated(decentralised submarket) and auction (centralised submarket) - on the basis of trust. Through an empirical study, the level of trust is evaluated and its impact is analysed on the "Boulogne-sur-Mer" fish market characterised by a stable coexistence of these two mechanisms. The three papers are preceded by a general introduction and a literature review. Paper one aims at comparing the nestedness and the robustness of both submarkets. Social network tools of ecologists are applied in order to provide an answer. Paper two models trust creation on both structures from the buyer side using the survival analysis and considering the buyer size. Paper three studies the effect of a trust index on the outcomes of transactions. Bipartite and projected graphs reveal the difference between submarkets. This thesis shows that the negotiated market is marked by a higher level of trust as agents interact and are not fully informed about the market situation unlike the auction one where information is centralised. We believe that trust is a way out of risk when there is lack of information
Blanchard, Jean-François. "Pratiques langagières et processus dialogiques d’identification sur les réseaux socionumériques : le cas de la langue bretonne." Thesis, Rennes 2, 2015. http://www.theses.fr/2015REN20020/document.
Full textInternet and social digital networks (SDN) are, for the Breton language, a recent setting for social practices inwhich forms of recontextualization of a minority language in a post‐diglossic situation occur. The purpose ofthis thesis is to describe the transformations using a dialogical model of identity development. Such model focuses on a three‐dimensional analysis that encompassing the institutionalization forms of a language in a society, social representations of a language and social practices resulting in expressions of belonging. This dialogical process model, whose design is grounded in scholar works in the social history field, is first instantiated from a sociolinguistic perspective to describe SDN glottopolitical intervention characteristics in the post‐diglossia context. This conceptual model is then applied to in analysis of extended forms of sociability enabled, facilitated and structured by SDN both in a media and public communication context. Finally, the model allows the juxtaposition of the sociopolitical analysis of the Breton claim and the sociopolitical theory of public space on the three dimensions on which SDN have an effect: construction of social problems such as institutionalization, symbolic construction of territorial identity and citizenship as a social practice and way ofbelonging. Liberal glottopolitical interventions developed around SDN create forms institution of language based on both the market force and the autonomy capacity of social actors to build a regional territory
Fabre, Maxime. "L’image exposée : la représentation des photographies de l'Agence France-Presse sur les réseaux sociaux numériques." Thesis, Sorbonne université, 2018. http://www.theses.fr/2018SORUL170.
Full textA picture of « French fries coated with chocolate », a « sunset » picturing saturated colours near Puerto Natales, Chili… This PhD thesis studies the representation of pictures posted on « Social Networks » by the Agence France-Presse – mainly Instagram, Facebook, Twitter and Tumblr – and examines the transformations and mutations of photojournalism through “digitization”. This work is structured around two axes. A semiotics approach allows first to understand how photojournalistic contents play on faith and belief in the media; these contents and pictures play on the norms and expectations linked to the representations of truth. We then studied the representation of press photography through a genealogical approach; interrogating the notion of banalité, this approach underlines the complexity of “digital” mediations. These mediations are caught between the requisitioning power of “industries du passage” and the adaptation of AFP’s informative speech. The interdisciplinary and integrative approach offered in this PhD allows to prove that digital mediations are only understandable as the correlation between an economy of devices and the development of unusual iconic lives
Benilsi, Stéphane. "Essai sur la gratuité en droit privé." Montpellier 1, 2006. http://www.theses.fr/2006MON10033.
Full textKaroui, Myriam. "Visibilité du capital social à travers les médias sociaux : Etudes de cas sur les dynamiques sociales de l'appropriation d'un outil d'Analyse de Réseaux Sociaux." Phd thesis, Ecole Centrale Paris, 2012. http://tel.archives-ouvertes.fr/tel-00905525.
Full textLecat-Ciarafoni, Ludivine. "Art, réseaux et pouvoirs dans la culture : Réseaux artistiques et réseaux politiques sur la Côte d'Azur." Thesis, Nice, 2014. http://www.theses.fr/2014NICE2024/document.
Full textBased on the study of social networks, we have observed how the interrelationships between the world of contemporary art and the politics in the establishment of cultural policies are numerous. Reform driven by the State from the 1980s has led to the creation of an institutional network become the cornerstone for the advancement of the careers of artists and undertaking the pre-existing merchant network. This upheaval brought the artists in the French Riviera to develop a strategy of seduction regarding to cultural leaders and local politicians, through to school education, openings, artists groups and associations.Only an ethnological investigation, based on conversation and ethnographic observations done during openings, press conference, more or less with formal meetings gave us a better comprehension about interaction between artists and politicians in one place: the French Riviera
Selmane, Sid Ali. "Détection et analyse des communautés dans les réseaux sociaux : approche basée sur l'analyse formelle de concepts." Thesis, Lyon 2, 2015. http://www.theses.fr/2015LYO22004.
Full textThe study of community structure in networks became an increasingly important issue. The knowledge of core modules (communities) of networks helps us to understand how they work and behaviour, and to understand the performance of these systems. A community in a graph (network) is defined as a set of nodes that are strongly linked, but weakly linked with the rest of the graph. Members of the same community share the same interests. The originality of our research is to show that it is relevant to use formal concept analysis for community detection unlike conventional approaches using graphs. We studied several problems related to community detection in social networks : (1) the evaluation of community detection methods in the literature, (2) the detection of disjointed and overlapping communities, and (3) modelling and analysing heterogeneous social network of three-dimensional data. To assess the community detection methods proposed in the literature, we discussed this subject by studying first the state of the art that allowed us to present a classification of community detection methods by evaluating each method presented in the literature (the best known methods). For the second part, we were interested in developing a disjointed and overlapping community detection approach in homogeneous social networks from adjacency matrices (one mode data or one dimension) by exploiting techniques from formal concept analysis. We paid also a special attention to methods of modeling heterogeneous social networks. We focused in particular to three-dimensional data and proposed in this framework a modeling approach and social network analysis from three-dimensional data. This is based on a methodological framework to better understand the threedimensional aspect of this data. In addition, the analysis concerns the discovery of communities and hidden relationships between different types of individuals of these networks. The main idea lies in mining communities and rules of triadic association from these heterogeneous networks to simplify and reduce the computational complexity of this process. The results will then be used for an application recommendation of links and content to individuals in a social network
Diaby, Mamadou. "Méthodes pour la recommandation d’offres d’emploi dans les réseaux sociaux." Thesis, Sorbonne Paris Cité, 2015. http://www.theses.fr/2015USPCD012/document.
Full textWe are entering a new era of data mining in which the main challenge is the storing andprocessing of massive data : this is leading to a new promising research and industry field called Big data. Data are currently a new raw material coveted by businesses of all sizes and all sectors. They allow organizations to analyze, understand, model and explain phenomen a such as the behavior of their users or customers. Some companies like Google, Facebook,LinkedIn and Twitter are using user data to determine their preferences in order to make targeted advertisements to increase their revenues.This thesis has been carried out in collaboration between the laboratory L2TI andWork4, a French-American startup that offers Facebook recruitment solutions. Its main objective was the development of systems recommending relevant jobs to social network users ; the developed systems have been used to advertise job positions on social networks. After studying the literature about recommender systems, information retrieval, data mining and machine learning, we modeled social users using data they posted on their profiles, those of their social relationships together with the bag-of-words and ontology-based models. We measure the interests of users for jobs using both heuristics and models based on machine learning. The development of efficient job recommender systems involved to tackle the problem of categorization and summarization of user profiles and job descriptions. After developing job recommender systems on social networks, we developed a set of systems called Work4 Oracle that predict the audience (number of clicks) of job advertisements posted on Facebook, LinkedIn or Twitter. The analysis of the results of Work4 Oracle allows us to find and quantify factors impacting the popularity of job ads posted on social networks, these results have been compared to those of the literature of Human Resource Management. All our proposed systems deal with privacy preservation by only using the data that social network users explicitly allowed to access to ; they also deal with noisy and missing data of social network users and have been validated on real-world data provided by Work4
Chikh, Sabrina. "L'effet du dirigeant sur la performance de l'entreprise." Phd thesis, Université du Droit et de la Santé - Lille II, 2010. http://tel.archives-ouvertes.fr/tel-00579820.
Full textRaimond, Élodie. "L'encadrement marchand des communautés de consommateurs sur Internet." Thesis, Toulouse 2, 2011. http://www.theses.fr/2011TOU20146/document.
Full textThe devices of publication and exchange of information on Internet have interested marketing services that take advantage of their creativity and information provides on products and services. In the thesis, we try to report on the work of supervision of communities of users by market professionals on the Internet. Indeed, the organization of users in networks, exchanging expertise and opinions on companies, products and services, can complicate the implementation of capture devices. The framing can first consist in channeling information exchanged on products and services, within communities. We first explored the market of devices aimed at monitoring discussions between users and specific uses of these tools by a large Internet service provider. In a second step, we analyzed the relational work undertaken by professionals of communication with target bloggers in order to promote a positive discourse on products and services. We demonstrate that they develop strategies for calculating their interests in the long run and talk about the brands according to their editorial strategies. To ensure the continuity of links with a larger number of clients, professionals can choose to implement sociotechnical framework, in order to host communities. We reported the framing devices of links from local exchanges between a client and a brand to horizontal linkages between community and professional around the products thanks to an ethnographic observation of communities set up by companies of goods and services. Social networking sites permit specific configuration of links between consumers and products, and they also organize collective expressions in order to avoid breaking links between companies and consumers. We have been interested in two devices that highlight this work: an institutional forum set up by a major supplier of services, and also a platform that hosts debates between experts and users of a large transport company. The interviews and data collections on the sites show us that the users can circumvent the rules and official and unofficial professionals in interaction with customers have to adjust their roles
Mesangeau, Julien. "Figures du « réseautage en ligne » sur les réseaux socionumériques professionnels : le cas d’un groupe d’anciens sur LinkedIn." Thesis, Rennes 2, 2012. http://www.theses.fr/2012REN20065/document.
Full textOur study had been carried on members of a social network hosted on the professional social network site, LinkedIn. It produced two main outcomes. The first is a typology of online Networking on three different classes. The first is the NetMining, which is a exploratory use of the website, where the user accumulated contacts. The second category is the NetWorking, where the users select contacts based on defined characteristics. The NetSticking is the third category, in which the user reproduced online a personal network based on trust. Those three categories highlight two main characteristics, specific to online networking. First, networking uses different means of communication, in whichLinkedIn is sometimes central, but sometimes marginal. Those practices are besides not necessarily based on planed actions. The Second result of our enquiry is a study device of the networking practices which associated graphs visualization technics and semi-directed interviews analyses
Teimourzadeh, Aria. "L'impact des réseaux sociaux numériques professionnels sur l’attractivité organisationnelle : une approche par la théorie du capital social." Thesis, Université Grenoble Alpes (ComUE), 2018. http://www.theses.fr/2018GREAG006.
Full textThis research work addresses the impact of professional social networks on the organizational attractiveness as an employer. Despite the complexity and diversity of studies on social networks both theoretical and practical regarding the way the members of professional social networks interact, the studies related to organizational attractiveness and membership identification in the context of e-recruitment is scarce remains limited. In this research, the social capital theory has been considered in order to better understand the impact of social identity, social trust, virtual word of mouth, the social networking platform and the mediating role of information quality on organizational attractiveness as an employer. In addition to the literature review, a first complementary study was carried out on the basis of 8 semi-directive interviews with human resources managers to obtain their opinions on the various stakeholders who integrate the use of these networks in their practices. A quantitative study was carried out on the basis of 288 individuals currently living in France and Canada who are present on professional online social networks in order to measure the impact of identified factors that influence the organizational attractiveness. The obtained results allowed us to understand the importance of social networking, the attractiveness of social networks sites and also the mediating effect of information quality on the organizational attractiveness as an employer, organizational prestige and intention of individuals to pursue job offers on these platforms
Seilles, Antoine. "Structuration de débats en ligne à l’aide d’Annotationssocio-sémantiquesVers une analyse de réseaux sociaux centrés sur l’interaction." Thesis, Montpellier 2, 2012. http://www.theses.fr/2012MON20007/document.
Full textThis pdh deals with socio-semantic annotations for e-democracy and online debates. Socio-semantic annotation are used to structurate debates. Data representation was designed to facilitate social network analysis and community detection based on opinion mining. This phd was made during the ANR project Intermed wich has to develop e-participation tools for geolocalised planning.Based on Web 2.0 trend, we define debate 2.0 concept as great scale online debates. A debate 2.0 is a debate that involves at least an important part of the inhabitants of a county and that uses web 2.0 tools. Interoperability is a main challenge of debates 2.0. If discursive annotations are a web 2.0 way of interaction between citizen, to process data from citizen participation is a complicate and expensive task. We recommand to use web semantic technology and socio-semantic annotations to represent data produced by citizen. Il will increase interoperability and easiness to create new applications and features consuming this data. We propose an annotation mecanism to structurate discussions and we have developped a platform through an agile loop with on field experiment
Hoblingre, Klein Hélène. "Réseaux sociaux professionnels : instruments d'empowerment professionnel ? : analyse de cas de consultants RH et de recruteurs sur LinkedIn." Thesis, Strasbourg, 2018. http://www.theses.fr/2018STRAG047/document.
Full textThis doctoral dissertation focuses on the use of professional network services by Human Resource staff registered on LinkedIn. The aim is to understand the new possibilities and the constraints induced by the RSNP in terms of "self-representation". The literature review shows that a LinkedIn profile can be used in two main ways : for individual and institutional uses. Moreover, it appears that the profile could potentially allow users to increase their efficiency at work by making their image known to a large number of people, to develop relationships with other professionals or develop self-confidence. An initial typology of users is proposed based on the sociology of PNS. A semiotic analysis of LinkedIn profiles and comprehensive research interviews also validate a typology of users. The results show that a cleavage between two major types of use seems to appear. The common purpose of institutional use is to be more efficient at work. At the same time, individual use mainly pursues an objective of self-mediatization
Dugué, Nicolas. "Analyse du capitalisme social sur Twitter." Thesis, Orléans, 2015. http://www.theses.fr/2015ORLE2081/document.
Full textBourdieu, a sociologist, defines social capital as : "The set of current or potential ressources linked to the possession of a lasting relationships network". On Twitter,the friends, followers, users mentionned and retweeted are considered as the relationships network of each user, which ressources are the chance to get relevant information, to beread, to satisfy a narcissist need, to spread information or advertisements. We observethat some Twitter users that we call social capitalists aim to maximize their follower numbers to maximize their social capital. We introduce their methods, based on mutual subscriptions and dedicated hashtags. In order to study them, we first describe a large scaledetection method based on their set of followers and followees. Then, we show with an automated Twitter account that their methods allow to gain followers and to be retweeted efficiently. Afterwards, we bring to light that social capitalists methods allows these users to occupy specific positions in the network allowing them a high visibility.Furthermore, these methods make these users influent according to the major tools. Wethus set up a classification method to detect accurately these user and produce a newinfluence score
Fontaine, François-Marie. "Les réseaux de relations sur le marché du travail : efficacité économique, disparités sociales et inégalités salariales." Paris 1, 2004. http://www.theses.fr/2004PA010040.
Full textTadlaoui, Mohammed. "Système de recommandation de ressources pédagogiques fondé sur les liens sociaux : Formalisation et évaluation." Thesis, Lyon, 2018. http://www.theses.fr/2018LYSEI053/document.
Full textWith the increasing amount of educational content produced daily by users, it becomes very difficult for learners to find the resources that are best suited to their needs. Recommendation systems are used in educational platforms to solve the problem of information overload. They are designed to provide relevant resources to a learner using some information about users and resources. The present work fits in the context of recommender systems for educational resources, especially systems that use social information. We have defined an educational resource recommendation approach based on research findings in the area of recommender systems, social networks, and Technology-Enhanced Learning. We rely on social relations between learners to improve the accuracy of recommendations. Our proposal is based on formal models that calculate the similarity between users of a learning environment to generate three types of recommendation, namely the recommendation of 1) popular resources; 2) useful resources; and 3) resources recently consulted. We have developed a learning platform, called Icraa, which integrates our recommendation models. The Icraa platform is a social learning environment that allows learners to download, view and evaluate educational resources. In this thesis, we present the results of an experiment conducted for almost two years on a group of 372 learners of Icraa in a real educational context. The objective of this experiment is to measure the relevance, quality and usefulness of the recommended resources. This study allowed us to analyze the user’s feedback on the three types of recommendations. This analysis is based on the users’ traces which was saved with Icraa and on a questionnaire. We have also performed an offline analysis using a dataset to compare our approach with four base line algorithms
Vachon, Karine. "L'émergence de nouvelles maisons d'édition littéraire au québec (2000-2010) : stratégies sur le web et les réseaux sociaux." Mémoire, Université de Sherbrooke, 2012. http://hdl.handle.net/11143/6538.
Full textBraga, Reinaldo. "LIDU : une approche basée sur la localisation pour l'identification de similarités d'intérêts entre utilisateurs dans les réseaux sociaux." Phd thesis, Université de Grenoble, 2012. http://tel.archives-ouvertes.fr/tel-00771457.
Full textJunger, Frédéric. "La mise en scène des personnels politiques sur les réseaux sociaux, relations et interactions dans les communautés d’administrés." Thesis, Bourgogne Franche-Comté, 2019. http://www.theses.fr/2019UBFCH015.
Full textThis doctoral research in Communication Sciences focuses on the relationship between politicians and citizens in the context of digital social networks. The purpose of this research is to highlight the elements that contribute to the construction of the public image of a political figure in the digital age and to see what the effects are on citizens. Our systemic approach is an observation conducted on online exchange platforms as well as on an analysis of corpus built on the basis of a collection of publications, on Twitter and Facebook in particular. The general question that guides our approach is: how do policies take place on digital networks and what the effects on other users are ? Our starting hypothesis is that the online presence of policies is not realized in a goal of exchange and interaction, despite the promises and opportunities offered by online devices. Our observations and analyzes show that there are different possibilities to question online relationships and interactions. On the one hand, in the use that policies make of this new tool of political communication, and on the other hand in the forms of citizen participation
Louati, Amine. "Une approche multi-agents pour la composition de services Web fondée sur la confiance et les réseaux sociaux." Thesis, Paris 9, 2015. http://www.theses.fr/2015PA090035/document.
Full textThis thesis deals with service discovery, selection and composition problems. The aim is to fulfill a complex requester query. To do that, we propose a multi-agent approach based on trust and social networks. We define a trust model as a compositional concept that includes social, expert, recommender and cooperation-based component. The social-based component judges whether or not the provider is worthwhile pursuing before using his services. The expert-based component estimates whether or not the service behaves well and as expected. The recommender-based component checks whether or not an agent is reliable and if we can rely on its recommendations. The cooperation-based component allows agents to decide with whom to interact in a service composition. We propose a distributed algorithm for service discovery using trust between agents and referral systems in social networks. We also develop a new method based on a probabilistic model to infer trust between non adjacent agents while taking into account roles of intermediate agents. Finally, we present an original coalition formation process which is incremental, dynamic and overlapping for service composition in social networks. %In particular, our coalition formation process engaging self-interested agents is incremental, dynamic and overlapping. Experimental results show that our multi-agents approaches are efficient, outperforms existing similar ones and can deliver more trustworthy results at low cost of communications
Georgy, Constance. "Visibilité numérique et recrutement. Une sociologie de l’évaluation des compétences sur Internet." Thesis, Université Paris-Saclay (ComUE), 2017. http://www.theses.fr/2017SACLN006/document.
Full textThe aim of my thesis is to underline what is at stake with the phenomenon of the massive growth of online personal data that we have witnessed for the last decade. This issue is seen through the case of hiring on the labor market. Candidates may want to disclose positive information about themselves and recruiters need to gather as much information as they can to evaluate potential candidates. This example allow us to investigate a new market for online reputation and to bring to knowledge the new norms of visibility and privacy in the age of social media
Garcia-Bardidia, Renaud. "Communications interpersonnelles et comportement du consommateur : une exploration par les groupes de discussion sur Internet." Paris 1, 2004. http://www.theses.fr/2004PA010044.
Full textLe, Béchec Mariannig. "Territoire et communication politique sur le « web régional breton »." Phd thesis, Université Rennes 2, 2010. http://tel.archives-ouvertes.fr/tel-00551746.
Full textIrak, Dağhan. "Supportérisme et engagement politique sur les réseaux sociaux : cyber-ethnographie des supporters de football stambouliotes lors du mouvement protestataire de "Gezi"." Thesis, Strasbourg, 2017. http://www.theses.fr/2017STRAG011/document.
Full textIn 2013, at Gezi Park of Istanbul, over a million people spontaneously started the largest protest movement in the history of Turkey. The fans of Istanbul’s three popular football clubs had an unprecedented engagement in these protests. Online social networks were one of the major channels where dissident expressions took place. This thesis aims to understand supporters’ reasons to participate in these protests and the political forms of their mobilization. Beyond football, this engagement is closely associated with a bundle of historical and social conditions and representations, linked with the “republican doxa.” A cyber-ethnography on Twitter that covers football supporters’ messages helps us trace the urban, secular and “modern” identity of these participants of Gezi, their relationship with politics and their allegiance to republican values
Pechenkina, Ekaterina. "La mobilisation des jeunes sur les réseaux sociaux pendant les campagnes électorales : l'analyse comparative entre la France et la Russie." Thesis, Bordeaux, 2016. http://www.theses.fr/2016BORD0463/document.
Full textThis thesis will focus on the analysis and systematization of the use of social networks in the presidential campaigns, both in France and in Russia in 2012, as well as in the municipal campaigns in Bordeaux and Moscow, in 2014 and 2013 respectively. The development of this thesis will also include the basic use of technologies, as well as the forms and methods of political online communication at the actual stage of their development.In this thesis, the examination of the political mechanisms used in France and Russia will be carried out in order to assess how social networks such as Facebook, Twitter, Instagram and VKontakte have developed into a powerful tool, with their main aim being to attract more and more young people to actively participate in the election campaigns as well as the voting process in general.Through the conduction of interviews with the chiefs of French Youth Movements, such as the Young Socialists (Gironde), the People’s Young (Gironde), and the Young of National Front (Gironde), we have found that these movements tend to have an overall peaceful nature in France. They aim to attract and mobilize young people (of up to 30 years old) to provide support both online and in the real world, for candidates of the major French political parties, namely the UMP, the Socialist Party and the National Front.In comparison, in Russia, the high level presence and influence of Youth Movements on the Internet provides support for new institutions forming in civil society. The success of the youth mobilization from the urban middle class can be explained by the combination of “civic consciousness” and “massive involvement”.In 2013, young Russians mobilized for active participation in the political life of Alexei Navalny, one of the leaders of the Russian opposition, who managed to obtain 27% of the votes in the municipal elections of Moscow, the equivalent to second place. His «revolutionary” electoral campaign was predominantly transmitted through social networks, notably through the use of VKontakte (the largest social network in Russia), in order to gain a large amount of support from young Moscovites. This action is deemed to be very uncommon among Russian politicians, and is more likely to be seen among Western homologues. Consequently, this led to the distribution of leaflets in the streets, in the subway, going door-to-door, as well as organizing the collection of donations for the campaign across networks
Povéda, Arnaud. "Les jeunes diplômés et les réseaux sociaux professionnels : la recherche d'emploi à l'ère numérique." Thesis, Paris 2, 2015. http://www.theses.fr/2015PA020038/document.
Full textLee, Jung won. "Entre l'amour et la guerre avec les collègues de l'équipe : Trois essais sur des liens positifs et négatifs au sein des équipes." Thesis, Université Paris-Saclay (ComUE), 2017. http://www.theses.fr/2017SACLH008.
Full textMy dissertation seeks to capture the complex interplays between positive and negative affects by delving into the two social relations that have been relatively understudied: negative ties and ambivalent ties within teams. In the first essay, I seek to delineate intra-team conflicts into different patterns of negative ties among team members, complementing the approach to intra-team conflict that has focused on the contents of conflict (e.g., task or interpersonal conflict). Taking a configural approach, I present a typology of within-team conflict that is based on four prototypical configurations of negative ties: “Battlefield,” “Public Enemy,” “Duels,” and “Rival Factions.” I demonstrate how these configurations of negative ties help us to better understand the origins and consequences of team conflict, and also delineate how positive ties could mitigate the negative effects of each team conflict type.The second essay explicates the nature of ambivalent relationships within teams. In this study, I seek to advance the literature on ambivalent ties by furthering the understanding of ambivalent relationships. In particular, I attempt to dispel a common confusion between ambivalent and ambiguous ties by identifying their distinct antecedents at the individual and dyadic level. Building on the clarification of ambivalent relationships in the second essay, the third essay takes the ambivalence to a team context, introducing the concept of “team ambivalence.” With the assumption that team members’ ambivalence about their teams is deeply rooted in their experience of dyadic relationships within their teams, I propose two different relationship patterns that lead to team ambivalence: within-tie and between-tie incongruence. Based on these patterns, I propose a theoretical model that explores the origins and consequences of team ambivalence
Gaurav, Kumar. "Sur certains problèmes de diffusion et de connexité dans le modèle de configuration." Thesis, Paris 6, 2016. http://www.theses.fr/2016PA066362/document.
Full textA number of real-world systems consisting of interacting agents can be usefully modelled by graphs, where the agents are represented by the vertices of the graph and the interactions by the edges. Such systems can be as diverse and complex as social networks (traditional or online), protein-protein interaction networks, internet, transport network and inter-bank loan networks. One important question that arises in the study of these networks is: to what extent, the local statistics of a network determine its global topology. This problem can be approached by constructing a random graph constrained to have some of the same local statistics as those observed in the graph of interest. One such random graph model is configuration model, which is constructed in such a way that a uniformly chosen vertex has a given degree distribution. This is the random graph which provides the underlying framework for this thesis. As our first problem, we consider propagation of influence on configuration model, where each vertex can be influenced by any of its neighbours but in its turn, it can only influence a random subset of its neighbours. Our (enhanced) model is described by the total degree of the typical vertex and the number of neighbours it is able to influence. We give a tight condition, involving the joint distribution of these two degrees, which allows with high probability the influence to reach an essentially unique non-negligible set of the vertices, called a big influenced component, provided that the source vertex is chosen from a set of good pioneers. We explicitly evaluate the asymptotic relative size of the influenced component as well as of the set of good pioneers, provided it is non-negligible. Our proof uses the joint exploration of the configuration model and the propagation of the influence up to the time when a big influenced component is completed, a technique introduced in Janson and Luczak (2008). Our model can be seen as a generalization of the classical Bond and Node percolation on configuration model, with the difference stemming from the oriented conductivity of edges in our model. We illustrate these results using a few examples which are interesting from either theoretical or real-world perspective. The examples are, in particular, motivated by the viral marketing phenomenon in the context of social networks