Relevant bibliographies by topics / Social networl analysis

Contents

  1. Journal articles
  2. Dissertations / Theses
  3. Books
  4. Book chapters
  5. Conference papers
  6. Reports

Academic literature on the topic 'Social networl analysis'

Author: Grafiati
Published: 2 June 2025
Last updated: 31 July 2025

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Journal articles on the topic "Social networl analysis"

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Reis, Eduardo, Magno José Alves, Camilo Dias Seabra, et al. "Socio-environmental assessment of the Santos and São Vicente municipalities on the coast of São Paulo/Brazil: application of social network analysis to the DPSIR conceptual framework." Revista Processando o Saber 17, no. 01 (2025): 261–78. https://doi.org/10.5281/zenodo.15499049.

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Considering the social, economic, and ecological complexity of coastal regions and the difficulty of public and private environmental management in these highly populated areas with multiple sources of pollution, this study used the driver, pressure, state, impact, and response model to socio-environmentally assess the coastal municipalities of Santos and São Vicente in the Baixada Santista metropolitan region, SP-Brazil. Data were evaluated by social network analysis. Results indicated the most relevant drivers (i.e., those that most affected sustainability and environmental governance
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Jadhav, Pranavati, and Dr Burra Vijaya Babu. "Detection of Community within Social Networks with Diverse Features of Network Analysis." Journal of Advanced Research in Dynamical and Control Systems 11, no. 12-SPECIAL ISSUE (2019): 366–71. http://dx.doi.org/10.5373/jardcs/v11sp12/20193232.

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Shcherbakov, V. S., and I. A. Karpov. "Regional Inflation Analysis Using Social Network Data." Economy of Regions 20, no. 3 (2024): 930–46. http://dx.doi.org/10.17059/ekon.reg.2024-3-21.

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Inflation is one of the most important macroeconomic indicators that have a great impact on the population of any country and region. Inflation is influenced by a range of factors, including inflation expectations. Many central banks take this factor into consideration while implementing monetary policy within the inflation targeting regime. Nowadays, a lot of people are active users of the Internet, especially social networks. It is hypothesised that people search, read, and discuss mainly only those issues that are of particular interest to them. It is logical to assume that the dynamics of
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Almahmoud, Essam, and Hemanta Kumar Doloi. "Assessment of Social Sustainability in Construction Projects Using Social Network Analysis." JOURNAL OF INTERNATIONAL BUSINESS RESEARCH AND MARKETING 3, no. 6 (2018): 35–46. http://dx.doi.org/10.18775/jibrm.1849-8558.2015.36.3003.

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This paper aims to propose a framework that puts the stakeholders at the forefront of achieving sustainability in the social context. This research, thus, argues that the social sustainability outcomes in construction are best achieved by taking into account the satisfaction of the stakeholders. Based on sustainability and equity theories, a dynamic assessment model has been developed to evaluate the contributions of projects in a social context. Multiple stakeholders and their differing interests associated with the construction projects have been integrated using social network analysis. The
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S., Geetha. "Big Data Analysis - Cybercrime Detection in Social Network." Journal of Advanced Research in Dynamical and Control Systems 12, SP4 (2020): 147–52. http://dx.doi.org/10.5373/jardcs/v12sp4/20201476.

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Ashlesha, S. Nagdive, Tugnayat Rajkishor, and Peshkar Atharva. "Social Network Analysis of Terrorist Networks." International Journal of Engineering and Advanced Technology (IJEAT) 9, no. 3 (2020): 2553–59. https://doi.org/10.35940/ijeat.C5431.029320.

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Terrorist Activities worldwide has led to the development of sophisticated methodologies for analyzing terrorist groups and networks. Ongoing and past research has found that Social Network Analysis (SNA) is most effective method for predictive counter-terrorism. Social Network Analysis (SNA) is an approach towards analyzing the terrorist networks to better understand the underlying structure of a network and to detect key players within the network and their links throughout the network. It is also need of the hour to convert available raw data into valuable information for the purpose of glo
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Del Fresno García, Miguel. "Connecting the Disconnected: Social Work and Social Network Analysis. A Methodological Approach to Identifying Network Peer Leaders." Arbor 191, no. 771 (2015): a209. http://dx.doi.org/10.3989/arbor.2015.771n1011.

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Nasution, Mahyuddin K. M., Rahmad Syah, and Marischa Elveny. "Social Network Analysis: Towards Complexity Problem." Webology 18, no. 2 (2021): 449–61. http://dx.doi.org/10.14704/web/v18i2/web18332.

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Social network analysis is a advances from field of social networks. The structuring of social actors, with data models and involving intelligence abstracted in mathematics, and without analysis it will not present the function of social networks. However, graph theory inherits process and computational procedures for social network analysis, and it proves that social network analysis is mathematical and computational dependent on the degree of nodes in the graph or the degree of social actors in social networks. Of course, the process of acquiring social networks bequeathed the same complexit
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Davel, Ronel, Adeline S. A. Du Toit, and Martie M. Mearns. "Understanding Knowledge Networks Through Social Network Analysis." International Journal of Knowledge Management 13, no. 2 (2017): 1–17. http://dx.doi.org/10.4018/ijkm.2017040101.

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Social network analysis (SNA) is being increasingly deployed as an instrument to plot knowledge and expertise as well as to confirm the character of connections in informal networks within organisations. This study investigated how the integration of networking into KM can produce significant advantages for organisations. The aim of the research was to examine how the interactions between SNA, Communities of Practice (CoPs) and knowledge maps could potentially influence knowledge networks. The researchers endeavour to illustrate via this question that cultivating synergies between SNA, CoPs an
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AVCI, UMMUHAN, and ESIN ERGUN. "Öğrencilerin Kişilik Özellikleri ve Performanslarına İlişkin Bir SosyalAğ Analizi." KIRŞEHİR EĞİTİM FAKÜLTESİ DERGİSİ 18, no. 3 (2017): 847–64. http://dx.doi.org/10.29299/kefad.2017.18.3.044.

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Dissertations / Theses on the topic "Social networl analysis"

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ATHANASIOU, THOMAS. "Multi-dimensional analysis of social multi-networks : Analysing a 5-layer social network case study." Thesis, Uppsala universitet, Institutionen för informatik och media, 2016. http://urn.kb.se/resolve?urn=urn:nbn:se:uu:diva-273908.

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Network theory analysis is applicable to many scientific disciplines (fields) such as biology, statistics and sociology. The social network analysis is one of the various branches of the broader network theory analysis, the social network analysis. It is of high interest among the researchers in social sciences. Social networks have had a significant impact on human civilizations for many centuries. During the last two decades, the main academic interest was addressed towards the research and analysis of a dynamically uprising sector of social networks, the on-line networks, primarily due to t
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Junuthula, Ruthwik Reddy. "Modeling, Evaluation and Analysis of Dynamic Networks for Social Network Analysis." University of Toledo / OhioLINK, 2018. http://rave.ohiolink.edu/etdc/view?acc_num=toledo1544819215833249.

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Vetro, Carla. "La social network analysis nella valutazione delle politiche sociali." Doctoral thesis, Universita degli studi di Salerno, 2012. http://hdl.handle.net/10556/341.

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2009 - 2010<br>Il tema della valutazione emerge periodicamente nella discussione politica italiana. L’azione del valutare, che rappresenta ormai un’operazione ricorrente nella vita quotidiana, diviene una pratica consolidata anche in seno alle istituzioni pubbliche, indispensabile per costruire un giudizio sul funzionamento delle politiche stesse. La pratica valutativa si rivela, però, difficile da applicare in contesti complessi e dinamici come quelli che caratterizzano gli interventi nel sociale, dove la complessità attiene alla eterogeneità e pluralità di attori coinvolti e alla multip
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CURZI, MIRCO. "Content based social network analysis." Doctoral thesis, Università Politecnica delle Marche, 2009. http://hdl.handle.net/11566/242305.

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Moore, John David. "Making Sense of Networks: Exploring How Network Participants Understand and Use Information From Social Network Analysis." Diss., Virginia Tech, 2005. http://hdl.handle.net/10919/103640.

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Many of today's complex public issues are best addressed by multi-sectoral multi-organizational responses that include different types of organizations working together (Kettl, 2008; O'Toole, 1997). Social network analysis (SNA) of interorganizational networks has emerged as a useful tool for network managers to understand the structure and function of the complex networks in which they seek to manage (Human and Provan, 1997, 2000; Provan and Milward, 1995; Provan, Sebastian, and Milward, 1996; Provan, Veazie, Staten, and Teufel-Shone, 2005). The output of an interorganizational SNA typically
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Moore, John. "Making Sense of Networks: Exploring How Network Participants Understand and Use Information From Social Network Analysis." Diss., Virginia Tech, 2021. http://hdl.handle.net/10919/103640.

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Many of today's complex public issues are best addressed by multi-sectoral multi-organizational responses that include different types of organizations working together (Kettl, 2008; O'Toole, 1997). Social network analysis (SNA) of interorganizational networks has emerged as a useful tool for network managers to understand the structure and function of the complex networks in which they seek to manage (Human and Provan, 1997, 2000; Provan and Milward, 1995; Provan, Sebastian, and Milward, 1996; Provan, Veazie, Staten, and Teufel-Shone, 2005). The output of an interorganizational SNA typical
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Magnusson, Jonathan. "Social Network Analysis Utilizing Big Data Technology." Thesis, Uppsala universitet, Avdelningen för datalogi, 2012. http://urn.kb.se/resolve?urn=urn:nbn:se:uu:diva-170926.

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As of late there has been an immense increase of data within modern society. This is evident within the field of telecommunications. The amount of mobile data is growing fast. For a telecommunication operator, this provides means of getting more information of specific subscribers. The applications of this are many, such as segmentation for marketing purposes or detection of churners, people about to switching operator. Thus the analysis and information extraction is of great value. An approach of this analysis is that of social network analysis. Utilizing such methods yields ways of finding t
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Broccatelli, Chiara. "Going beyond secrecy : methodological advances for two-mode temporal criminal networks with Social Network Analysis." Thesis, University of Manchester, 2017. https://www.research.manchester.ac.uk/portal/en/theses/going-beyond-secrecy-methodological-advances-for-twomode-temporal-criminal-networks-with-social-network-analysis(f0f91f79-7bc3-442c-a16b-e9cf44cc68c3).html.

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This thesis seeks to extend the application of Social Network Analysis (SNA) to temporal graphs, in particular providing new insights for the understanding of covert networks. The analyses undertaken reveal informative features and properties of individuals' affiliations under covertness that also illustrate how both individuals and events influence the network structure. The review of the literature on covert networks provided in the initial two chapters suggests the presence of some ambiguities concerning how authors define structural properties and dynamics of covert networks. Authors somet
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Isah, Haruna. "Social Data Mining for Crime Intelligence: Contributions to Social Data Quality Assessment and Prediction Methods." Thesis, University of Bradford, 2017. http://hdl.handle.net/10454/16066.

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With the advancement of the Internet and related technologies, many traditional crimes have made the leap to digital environments. The successes of data mining in a wide variety of disciplines have given birth to crime analysis. Traditional crime analysis is mainly focused on understanding crime patterns, however, it is unsuitable for identifying and monitoring emerging crimes. The true nature of crime remains buried in unstructured content that represents the hidden story behind the data. User feedback leaves valuable traces that can be utilised to measure the quality of various aspects of pr
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Fidalgo, Patrícia Seferlis Pereira. "Learning networks and moodle use in online courses: a social network analysis study." Doctoral thesis, Faculdade de Ciências e Tecnologia, 2012. http://hdl.handle.net/10362/8862.

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Dissertação para obtenção do Grau de Doutor em Ciências da Educação Especialidade em Tecnologias, Redes e Multimédia na Educação e Formação<br>This research presents a case study on the interactions between the participants of the forums of four online undergraduate courses from the perspective of social network analysis (SNA). Due to lack of studies on social networks in online learning environments in higher education in Portugal we have choose a qualitative structural analysis to address this phenomenon. The context of this work was given by the new experiences in distance education (DE)
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Books on the topic "Social networl analysis"

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Freeman, Linton. Social Network Analysis. SAGE Publications Ltd, 2008. http://dx.doi.org/10.4135/9781446263464.

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Knoke, David, and Song Yang. Social Network Analysis. SAGE Publications, Inc., 2008. http://dx.doi.org/10.4135/9781412985864.

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Knoke, David. Social network analysis. 2nd ed. Sage Publications, 2008.

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C, Freeman Linton, ed. Social network analysis. SAGE, 2008.

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C, Freeman Linton, ed. Social network analysis. SAGE, 2008.

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Abraham, Ajith, Aboul-Ella Hassanien, and Vaclav Sná¿el, eds. Computational Social Network Analysis. Springer London, 2010. http://dx.doi.org/10.1007/978-1-84882-229-0.

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Pascual-Ferrá, Paola. How to Visualize and Interpret Social Media Networks Using Social Network Analysis Tools. SAGE Publications, Ltd., 2022. http://dx.doi.org/10.4135/9781529610857.

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Missaoui, Rokia, Talel Abdessalem, and Matthieu Latapy, eds. Trends in Social Network Analysis. Springer International Publishing, 2017. http://dx.doi.org/10.1007/978-3-319-53420-6.

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Reis Pinheiro, Carlos Andre, ed. Social Network Analysis in Telecommunications. John Wiley & Sons, Inc., 2012. http://dx.doi.org/10.1002/9781119200529.

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Pryke, Stephen. Social Network Analysis in Construction. Wiley-Blackwell, 2012. http://dx.doi.org/10.1002/9781118443132.

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Book chapters on the topic "Social networl analysis"

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Whitehead, James, and Mike Peckham. "Social Network Analysis." In Network Leadership. Routledge, 2022. http://dx.doi.org/10.4324/9781003092582-17.

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Medina, Richard, and Nigel Waters. "Social Network Analysis." In Handbook of Regional Science. Springer Berlin Heidelberg, 2019. http://dx.doi.org/10.1007/978-3-642-36203-3_49-1.

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Lee, Viktor. "Social network analysis." In How Firms Can Strategically Influence Open Source Communities. Gabler Verlag, 2012. http://dx.doi.org/10.1007/978-3-8349-7140-1_6.

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Marcus, Sherry E., Melanie Moy, and Thayne Coffman. "Social Network Analysis." In Mining Graph Data. John Wiley & Sons, Inc., 2006. http://dx.doi.org/10.1002/9780470073049.ch17.

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Aggarwal, Charu C. "Social Network Analysis." In Data Mining. Springer International Publishing, 2015. http://dx.doi.org/10.1007/978-3-319-14142-8_19.

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Mukherjee, S. P., Bikas K. Sinha, and Asis Kumar Chattopadhyay. "Social Network Analysis." In Statistical Methods in Social Science Research. Springer Singapore, 2018. http://dx.doi.org/10.1007/978-981-13-2146-7_13.

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Maya-Jariego, Isidro. "Social Network Analysis." In Encyclopedia of Quality of Life and Well-Being Research. Springer Netherlands, 2014. http://dx.doi.org/10.1007/978-94-007-0753-5_2777.

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Serrat, Olivier. "Social Network Analysis." In Knowledge Solutions. Springer Singapore, 2017. http://dx.doi.org/10.1007/978-981-10-0983-9_9.

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Daming, Xu, Wang Xiaomei, and Li Wei. "Social Network Analysis." In The Blackwell Guide to Research Methods in Bilingualism and Multilingualism. Blackwell Publishing Ltd., 2009. http://dx.doi.org/10.1002/9781444301120.ch15.

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Liu, Bing. "Social Network Analysis." In Web Data Mining. Springer Berlin Heidelberg, 2011. http://dx.doi.org/10.1007/978-3-642-19460-3_7.

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Conference papers on the topic "Social networl analysis"

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Srivastav, Manoj Kumar, Somsubhra Gupta, and Subhranil Som. "Utilizing Social Network Analysis to Model Social Media Post Popularity with Bayesian Belief Networks." In 2024 International Conference on Big Data Analytics in Bioinformatics (DABCon). IEEE, 2024. https://doi.org/10.1109/dabcon63472.2024.10919420.

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Barbosa, Gabriel, Thaiana Lima, Rodrigo Santos, and Claudia Werner. "Brechó-SocialSECO: Uma Ferramenta para Apoiar Modelagem e Análise de Ecossistemas de Software." In IV Brazilian Workshop on Social Network Analysis and Mining. Sociedade Brasileira de Computação - SBC, 2015. http://dx.doi.org/10.5753/brasnam.2015.6793.

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Em todo sistema de software, existe interação entre componentes. Ao unir uma rede técnica de artefatos com um ambiente social, cria-se uma rede socio-técnica. Visando desenvolver uma ferramenta que modele, analise e incentive as relações sociais na rede socio-técnica, foi proposta a Brechó SocialSECO. Estendeu-se a biblioteca de componente Brechó para melhor entender ecossistemas de software e dar suporte para tomadas de decisão. Este trabalho apresenta a ferramenta e seu funcionamento.
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Maruyama, William Takahiro, and Luciano Antonio Digiampietri. "Co-authorship prediction in academic social network." In Brazilian Workshop on Social Network Analysis and Mining. Sociedade Brasileira de Computação - SBC, 2019. http://dx.doi.org/10.5753/brasnam.2016.6445.

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The prediction of relationships in a social network is a complex and extremely useful task to enhance or maximize collaborations by indicating the most promising partnerships. In academic social networks, prediction of relationships is typically used to try to identify potential partners in the development of a project and/or co-authors for publishing papers. This paper presents an approach to predict coauthorships combining artificial intelligence techniques with the state-of-the-art metrics for link predicting in social networks.
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Melo, Renato Silva, and André Luís Vignatti. "Preprocessing Rules for Target Set Selection in Complex Networks." In Brazilian Workshop on Social Network Analysis and Mining. Sociedade Brasileira de Computação, 2020. http://dx.doi.org/10.5753/brasnam.2020.11167.

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In the Target Set Selection (TSS) problem, we want to find the minimum set of individuals in a network to spread information across the entire network. This problem is NP-hard, so find good strategies to deal with it, even for a particular case, is something of interest. We introduce preprocessing rules that allow reducing the size of the input without losing the optimality of the solution when the input graph is a complex network. Such type of network has a set of topological properties that commonly occurs in graphs that model real systems. We present computational experiments with real-worl
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Brandão, Michele A., Matheus A. Diniz, and Mirella M. Moro. "Using Topological Properties to Measure the Strength of Co-authorship Ties." In Brazilian Workshop on Social Network Analysis and Mining. Sociedade Brasileira de Computação - SBC, 2019. http://dx.doi.org/10.5753/brasnam.2016.6455.

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Studying the strength of ties in social networks allows to identify impact at micro-macro levels in the network, to analyze how distinct relationships play different roles, and so on. Indeed, the strength of ties has been investigated in many contexts with different goals. Here, we aim to address the problem of measuring ties strength in co-authorship social networks. Specifically, we present four case studies detailing problems with current metrics and propose a new one. Then, we build a co-authorship social network by using a real digital library and identify how the strength of ties relates
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Bursztyn, Victor S., Marcelo Granja Nunes, and Daniel R. Figueiredo. "How Congressmen Connect: Analyzing Voting and Donation Networks in the Brazilian Congress." In Brazilian Workshop on Social Network Analysis and Mining. Sociedade Brasileira de Computação - SBC, 2019. http://dx.doi.org/10.5753/brasnam.2016.6451.

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The goal of this work is to analyze two of the most central activities in the life of a congressman: raising funds and voting bills. We investigate the Brazilian Congress to shed light on the relationships between the donations received by congressmen elected in 2014 and their voting behaviors during the year of 2015. We merged publicly available data obtained from the Brazilian House of Representatives and the Superior Electoral Court (TSE) in order to create a tripartite network containing campaign donors, elected congressmen, and legal bills. Using this data, we create two projected network
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Gomes, João Emanoel Ambrósio, and Ricardo Prudêncio. "Educational Social Network Group Profiling: An Analysis of Differentiation-Based Methods." In IV Brazilian Workshop on Social Network Analysis and Mining. Sociedade Brasileira de Computação - SBC, 2015. http://dx.doi.org/10.5753/brasnam.2015.6777.

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Social media communities are usually formed by similarities among users. In educational social networks, several factors propitiate the user group generation, e.g. share the same academic environment or interested in common curricular. In order to explain the group formation resulted from educational social network, we applied two group profiling methods based on differentiation. Wilcoxon rank-sum test and PART rules algorithm were applied to a dataset available, the OJE educational social network. The performed experiments showed that the methods were effective to group profiling generation,
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Soares, Rafael Henrique Santos, Jorge H. C. Fernandes, and Ricardo Sampaio. "Formal Information Flows Among Top Authorities of the Brazilian Federal Government based on Co-word Analysis of Data Published in the Official Gazette." In Brazilian Workshop on Social Network Analysis and Mining. Sociedade Brasileira de Computação - SBC, 2019. http://dx.doi.org/10.5753/brasnam.2016.6450.

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This paper describes a methodology for modeling social networks of formal communications among top authorities of the Brazilian Federal Government grounded on data available in the government official gazette (Diário Oficial da União). The text of a large number of official publications such as presidential decrees, ministerial orders and authority nominations was analyzed for identification of citations to organizations and persons. The co-occurrence of names of persons in such publications created a network of relations among such persons. An ego-network was built around the president Dilma
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Alcantara, Cássio de, Elaine Ribeiro de Faria Paiva, Maria Camila Nardini Barioni, and Luiz Carlos Oliveira Junior. "Método para Contrastar Percepção de Suporte Social com Dados Extraídos do Twitter em Português." In Brazilian Workshop on Social Network Analysis and Mining. Sociedade Brasileira de Computação - SBC, 2023. http://dx.doi.org/10.5753/brasnam.2023.229750.

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O estudo de características como comportamento, temperamento e suporte social de pessoas pode ser usado para antecipar transtornos psicológicos. Em especial, as redes socias online podem ser usadas como fonte de informação para entender tais características. Os sentimentos presentes nas postagens de um usuário em conjunto com o seu comportamento em uma rede social online podem ser usadas para entender sua percepção de suporte social. Este estudo propõe um método para contrastar o comportamento de um usuário da rede social online Twitter com a sua percepção de suporte social, medida por meio de
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Silvestru, Catalin ionut, Marianernut Lupescu, Virgil Ion, and Ramona camelia Silvestru. "CONCEPT: SOCIAL NETWORK EDUCATIONAL PLATFORM." In eLSE 2017. Carol I National Defence University Publishing House, 2017. http://dx.doi.org/10.12753/2066-026x-17-077.

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Due to the growing involvement of social networks in economic, politic and social aspects of people’s lives and taking into account that social networks represent the main ICT means of socializing, having a steady increase of users each year, we the authors consider that social networks can have a positive impact on education, and also, if combined with educational tools, can be used efficiently in a non-formal and informal educational purpose. Thus, this paper sets out to analyse the current use of social networks in educational purposes in order to understand the impact social networks have
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Reports on the topic "Social networl analysis"

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Snijders, Tom. Longitudinal Social Network Analysis. Instats Inc., 2024. https://doi.org/10.61700/zimra7qjrsnu11850.

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This three-day workshop provides an introductory overview of longitudinal social network analysis using the RSiena package, focusing on the application of Stochastic Actor-oriented Models to study network dynamics and the co-evolution of networks and behavior. Participants will gain practical skills in modeling network panel data, as well as modeling co-evolution of networks and behavior, for application of these techniques across various academic disciplines.
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Bonnett, Michaela, Chimdi Ezeigwe, Meaghan Kennedy, and Teri Garstka. Using Social Network Analysis to Link Community Health and Network Strength. Orange Sparkle Ball, 2023. http://dx.doi.org/10.61152/scsf6662.

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Social network analysis (SNA) is a technique used to analyze social networks, whether it be composed of people, organizations, physical locations, or objects. It is being increasingly applied across a variety of sectors to gain insight into patterns of behavior and connectivity, the flow of information and behaviors, and to track and predict the effectiveness of interventions or programs. A key area associated with network strength using SNA is the health and wellness of individuals and communities. Both network strength and health and wellness are measured in many ways, which can obfuscate th
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Johnson, Eric M., and Robert Chew. Social Network Analysis Methods for International Development. RTI Press, 2021. http://dx.doi.org/10.3768/rtipress.2021.rb.0026.2105.

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Social Network Analysis (SNA) is a promising yet underutilized tool in the international development field. SNA entails collecting and analyzing data to characterize and visualize social networks, where nodes represent network members and edges connecting nodes represent relationships or exchanges among them. SNA can help both researchers and practitioners understand the social, political, and economic relational dynamics at the heart of international development programming. It can inform program design, monitoring, and evaluation to answer questions related to where people get information; w
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Schmidt, Teresa. Statistical Analysis of Social Network Change. Portland State University Library, 2019. http://dx.doi.org/10.15760/etd.7288.

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Tabuga, Aubrey, and Carlos Cabaero. The Structure of Social Relations in the Community: An Empirical Analysis for Achieving Social and Economic Inclusion. Philippine Institute for Development Studies, 2020. https://doi.org/10.62986/dp2020.49.

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This paper examines the extent of social deprivation, if any, among the poor and other segments of the community. Specifically, it aims to illustrate the characteristics of social networks that poor families have through social network analysis (SNA). It inquires on the questions How are the poor situated within the community network? Are they isolated, excluded, or integrated? To examine social inclusion or exclusion, this study uses social relations data (i.e. kinship and friendship ties) gathered in 2016 on all households residing in a rural, fishing village in the Philippines. Its primary
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Shkurov, Yevhen. MEDIA COMMUNICATIONS IN THE SOCIAL DIMENSION OF THE CITY. Ivan Franko National University of Lviv, 2025. https://doi.org/10.30970/vjo.2025.57.13294.

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This article explores the media-communication aspect of the social dimension of the contemporary city, conceptualised as a communication hub within global information networks. The analysis is grounded in the theoretical frameworks of structural functionalism, the network society, and systems communication theory. The study reveals that media not only reflect urban processes but also actively shape urban space, influencing identity, social integration, and public discourse. Keywords: media communications, city, network society, social media, urban space, digitalisation.
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Lipsky, Alyson, Molly Adams, and Chinyere Okeke. Ground-Truthing Social Network Analysis for Universal Health Coverage Advocacy Networks in Nigeria. RTI Press, 2024. http://dx.doi.org/10.3768/rtipress.2024.pb.0028.2405.

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Achieving universal health coverage (UHC) requires commitment from a wide range of actors, including policy makers, civil society, and academics. In low- and middle-income countries, creating momentum among stakeholders can be challenging with competing priorities and limited funding. Advocacy coalitions—groups of like-minded organizations coalescing to achieve a common goal—have been used to achieve UHC; however, the effectiveness of advocacy coalitions for UHC is not well understood. This policy brief reviews literature on how social network analysis (SNA)—a method “effective in helping to u
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Evans, Daniel, Margaret Moten, Csilla Szabo, and Brian Macdonald. Social Network Analysis in Frontier Capital Markets. Defense Technical Information Center, 2012. http://dx.doi.org/10.21236/ada565112.

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Hoff, Peter D., Adrian E. Raftery, and Mark S. Handcock. Latent Space Approaches to Social Network Analysis. Defense Technical Information Center, 2001. http://dx.doi.org/10.21236/ada458734.

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Xu, Ran. Introduction to Social Network Analysis (Free Seminar). Instats Inc., 2024. https://doi.org/10.61700/zud3mrhp34b2l1910.

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This seminar provides an introduction to social network analysis (SNA), equipping researchers in social sciences, population health science, and systems science with essential tools to examine relationships and behaviors in varied contexts, including mHealth and social media. Attendees will gain a practical understanding of the basics of network theory, data analysis, visualization methods, and real-world applications of SNA.
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