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Academic literature on the topic 'Networks of relationships among sophists'

Author: Grafiati

Published: 4 June 2021

Last updated: 16 February 2022

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Journal articles on the topic "Networks of relationships among sophists"

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Belhe, U., and A. Kusiak. "Modeling Relationships Among Design Activities." Journal of Mechanical Design 118, no. 4 (December 1, 1996): 454–60. http://dx.doi.org/10.1115/1.2826912.

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In this paper, a graph theoretic approach for transformation and analysis of a network of design activities with different types of logical relationships is presented. In addition to the AND type relationship, OR and EXCLUSIVE OR relationships may exist between design activities. This relationship is captured using the IDEF3 notation. The algorithm generates various alternative precedence networks and clusters of design activities in each of these precedence networks. These alternative transformations are further used to analyze the risk of violating the due date of the design activity network. The concepts introduced in this paper are illustrated with an example.

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Peng, Jiajie, Linjiao Zhu, Yadong Wang, and Jin Chen. "Mining Relationships among Multiple Entities in Biological Networks." IEEE/ACM Transactions on Computational Biology and Bioinformatics 17, no. 3 (May 1, 2020): 769–76. http://dx.doi.org/10.1109/tcbb.2019.2904965.

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Costa, Jorge Campos da, and Claudia Strey. "INFERENCES AND INTERFACES: VALIDITY AND RELEVANCE." Linguagem em (Dis)curso 14, no. 3 (December 2014): 577–94. http://dx.doi.org/10.1590/1982-4017-140308-0814.

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The Ancient Greeks, since the sophists' texts represented threats to legitimate reasoning anchored in the notion of truth, tried to examine the relationship among valid, informal and fallacious arguments. Aristotle distinguished mainly formal ways of abstractions from the daily practical uses, addressing the relationships between the logical forms and the interferences of content. This paper, motivated by this script of insights, investigates problems concerning logical operators, relations of sense, probability, entailment and their properties in natural language, constituted as inferences in the logical-cognitive-communicative interface. For that, foundations of classical-propositional-logic are brought closer together with the ones from semantics, pragmatics and an inspiring notion of relevance.

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Sarapas, Casey, Anna Weinberg, Scott A. Langenecker, and Stewart A. Shankman. "Relationships among attention networks and physiological responding to threat." Brain and Cognition 111 (February 2017): 63–72. http://dx.doi.org/10.1016/j.bandc.2016.09.012.

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La Rocca, Antonella, Ivan Snehota, and Carlotta Trabattoni. "Construction of meanings in business relationships and networks." IMP Journal 9, no. 2 (July 6, 2015): 163–76. http://dx.doi.org/10.1108/imp-05-2015-0017.

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Purpose – The purpose of this paper is to address an issue related to the role of interaction processes in the development of customer-supplier relationships in business markets. Design/methodology/approach – Focusing on the role of cognition in interaction behaviours in business relationships, the authors examine two research streams that offer perspectives on interaction processes akin to the IMP – the socio-cognitive perspective and the practice-based approach to markets and marketing. Findings – The two research streams analysed contribute to understanding the link between cognition and interaction behaviours by pointing to the construction of meanings as an important factor in interaction behaviours and indicating storytelling as a tool to construct meanings among the actors. Originality/value – This paper is among the few studies that focus the attention on communication processes in business relationships and networks.

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Yagahara, Ayako, Keiri Hanai, Shin Hasegawa, and Katsuhiko Ogasawara. "Relationships Among Tweets Related to Radiation: Visualization Using Co-Occurring Networks." JMIR Public Health and Surveillance 4, no. 1 (March 15, 2018): e26. http://dx.doi.org/10.2196/publichealth.7598.

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JING, Xiujuan, and Yifeng WANG. "The Relationships among Attention Networks and Their Psychological and Physiological Mechanisms." Advances in Psychological Science 23, no. 9 (2015): 1531. http://dx.doi.org/10.3724/sp.j.1042.2015.01531.

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Kobayashi, H., and I. P. Kaminow. "Duality relationships among "space", "time", and "wavelength" in all-optical networks." Journal of Lightwave Technology 14, no. 3 (March 1996): 344–51. http://dx.doi.org/10.1109/50.485591.

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Pickett, Candace Coppinger, Justin L. Barrett, Cynthia B. Eriksson, and Christina Kabiri. "Social Networks among Ministry Relationships: Relational Capacity, Burnout, & Ministry Effectiveness." Journal of Psychology and Theology 45, no. 2 (June 2017): 92–105. http://dx.doi.org/10.1177/009164711704500202.

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Humans, on average, are believed to have the capacity to sustain approximately 150 personal relationships due to social-cognitive limits and time available for relationship investment (Dunbar, 1993). The consequences of attempting to exceed this relational limit have not been investigated. Yet relational-style ministry workers face pressure to increase their number of personal relationships. It is likely that attempting to exceed this relational limit leads to distress. Therefore, relational ministers exceeding typical social network sizes were predicted to experience higher levels of burnout and lower levels of ministry effectiveness. For this study, two hundred thirty-seven relational ministers completed self-report measures. Multiple hierarchical regressions indicated that while total network size was not a significant predictor of outcome variables, nuanced differences among networks predicted burnout and ministry effectiveness. Above average numbers of intimate, high-investment relationships predicted smaller overall network sizes, and subgroups of more intimate relationships may have optimal size ranges that contribute to personal well-being.

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Feng, Ying-Ying, Li-Min Wang, and Zhi-Yong Zhou. "Relationships among quasivarieties induced by the min networks on inverse semigroups." Semigroup Forum 101, no. 3 (August 14, 2020): 585–602. http://dx.doi.org/10.1007/s00233-020-10126-1.

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Dissertations / Theses on the topic "Networks of relationships among sophists"

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Park, Hyunyong. "Patterns of Personal networks and their relationships to treatment outcomes among women with substance use disorders." Case Western Reserve University School of Graduate Studies / OhioLINK, 2016. http://rave.ohiolink.edu/etdc/view?acc_num=case1459431336.

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Magee, Cynthia A. "Age and gender-related differences among children's social support networks." Scholarly Commons, 1996. https://scholarlycommons.pacific.edu/uop_etds/2787.

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Research with adult populations suggests that individual differences in social support may begin in childhood. It has been suggested that the makeup of people in a child's social support network could be indicative of the child's social development. Until recently there was not a measure available that could be used to report social support across the life span, therefore the ability to compare childhood social support networks to adult social support networks has been limited. The present research used a measure that has historically been used with adults and recently used with children as young as age 7, and used it with younger children (age 4). The measure used is a hierarchical mapping technique in which the children were asked to place the members of their social support network into three concentric circles. Four, 7, and 10 year olds (N = 286) participated in individual 20 min interviews. The social development of the child from age 4 to age 10 can clearly be seen in this research. For example, the older children have relationships of varying closeness and can made distinctions on the basis of closeness. In contrast, the younger child places most network members in the inner circle, possibly because the child is unable to make finer distinctions in relationships or possibly because the child actually has mostly relationships that would be described by placing them in the inner circle. Other findings include that as the child gets older, the social support network grows larger and includes more family members in the inner circles and more friends in the outer circles. The research also indicates that the reports of 4 year olds were just as reliable as those of 7 and 10 year olds.

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Anderson, Lauren Marie. "Opportunities to teach, grow and transform exploring relationships among school conditions, teachers' social networks and teachers' careers /." Diss., Restricted to subscribing institutions, 2009. http://proquest.umi.com/pqdweb?did=1835126231&sid=1&Fmt=2&clientId=1564&RQT=309&VName=PQD.

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Saculla, Meghan M. "Addressing Relationships among Moral Judgment Development, Narcissism, and Electronic Media and Communication Devices." TopSCHOLAR®, 2010. http://digitalcommons.wku.edu/theses/192.

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Recently, Thoma and Bebeau (2008) reported moral judgment developmental trends among various samples of undergraduates and graduates where increases in Personal Interests reasoning and decreases in Postconventional reasoning were observed. In an attempt to explain such trends, they cited recent trends in increased narcissism among college students (Twenge, Konrath, Foster, Campbell, & Bushman, 2008) and also noted that certain types of technological devices (i.e. social networking websites, cell phones, etc.) may have adverse effects social decision-making and self-presentation. The current study, therefore, addresses the relationships among moral judgment development, narcissism, and electronic media and communication devices (EMCD's). Analyses support that the extent of EM CD usage, as well as the reasons for usage, contribute to decreased Postconventional reasoning, but have a negligible effect on Personal Interests reasoning.

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Hall, Heather Roberts. "The relationships among adaptive behaviors of children with autism spectrum disorder, their family support networks, parental stress, and parental coping." View the abstract Download the full-text PDF version, 2008. http://etd.utmem.edu/ABSTRACTS/2008-037-Hall-index.htm.

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Thesis (Ph.D.)--University of Tennessee Health Science Center, 2008.
Title from title page screen (viewed on January 29, 2009). Research advisor: J. Carolyn Graff, Ph.D. Document formatted into pages (v,111 p. : ill.). Vita. Abstract. Includes bibliographical references (p. 79-97).

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Angelovska, Marina. "Content-based Recommender System for Detecting Complementary Products : Evaluating Siamese Neural Networks for Predicting Complementary Relationships among E-Commerce Products." Thesis, KTH, Skolan för elektroteknik och datavetenskap (EECS), 2020. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-280455.

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As much as the diverse and rich offer on e-commerce websites helps the users find what they need at one market place, the online catalogs are sometimes too overwhelming. Recommender systems play an important role in e-commerce websites as they improve the customer journey by helping the users find what they want at the right moment. These recommendations can be based on users’ characteristics, demographics, purchase or session history.In this thesis we focus on identifying complementary relationship between products in the case of the largest e-commerce company in the Netherlands. Complementary products are products that go well together, products that might be a necessity to the chosen product or simply a nice addition to it. At the company, there is big potential as complementary products increase the average purchase value and they exist for less than 20% of the whole catalog.We propose a content-based recommender system for detecting complemen- tary products, using a supervised deep learning approach that relies on Siamese Neural Network (SNN).The purpose of this thesis is three-fold; Firstly, the main goal is to create a SNN model that will be able to predict complementary products for any given product based on the content. For this purpose, we implement and compare two different models: Siamese Convolutional Neu- ral Network and Siamese Long Short-Term Memory (LSTM) Recurrent Neural Network. We feed these neural networks with pairs of products taken from the company, which are either complementary or non-complementary. Secondly, the basic assumption of our approach is that most of the important features for a product are included in its title, but we conduct experiments including the product description and brand as well. Lastly, we propose an extension of the SNN approach to handle millions of products in a matter of seconds.∼As a result from the experiments, we conclude that Siamese LSTM can predict complementary products with highest accuracy of 85%. Our assumption that the title is the most valuable attribute was confirmed. In addition, trans- forming our solution to a K-nearest-neighbour problem in order to optimize it for millions of products gave promising results.
Så mycket som det mångfaldiga och rika utbudet på e-handelswebbplatser hjälper användarna att hitta det de behöver på en marknadsplats, är online- katalogerna ibland för överväldigande. Rekommendationssystem en viktig roll på e-handelswebbplatser eftersom de förbättrar kundupplevelsen genom att hjälpa användarna att hitta vad de vill ha i rätt ögonblick. Dessa rekommen- dationer kan baseras på användarens egenskaper, demografi, inköps- eller ses- sionshistorik.I denna avhandling fokuserar vi på att identifiera komplementära förhållanden mellan produkter för det största e-handelsföretaget i Nederländerna. Komplet- terande produkter är produkter passar väl ihop, produkter som kan vara en nödvändighet för den valda produkten eller helt enkelt ett trevligt tillskott till den. På företaget finns det stor potential eftersom kompletterande produkter ökar det genomsnittliga inköpsvärdet och de tillhandahålls för mindre än 20% av hela katalogen.Vi föreslår ett innehållsbaserat rekommendationssystem för att upptäcka kom- pletterande produkter, med en övervakad strategi för inlärning som bygger på Siamese Neural Network (SNN). Syftet med denna avhandling är i tre steg; För det första är huvudmålet att skapa en SNN-modell som kan förutsäga komplet- terande produkter för en given produkt baserat på innehållet. För detta ändamål implementerar och jämför vi två olika modeller: Siamese Convolutional Neu- ral Network och Siamese Long Short-Term Memory (LSTM) Recurrent Neural Network. Vi matar in data i dessa neurala nätverk med par produkter hämta- de från företaget, som antingen är komplementära eller icke-komplementära. Det andra grundläggande antagandet av vår metod att de flesta av de viktiga funktionerna för en produkt ingår i dess titel, men vi genomför också expe- riment inklusive produktbeskrivningen och varumärket. Slutligen föreslår vi en utvidgning av SNN-metoden för att hantera miljoner produkter på några sekunder.∼Som ett resultat av eperimenten drar vi slutsatsen att Siamese LSTM kan för- utsäga komplementära produkter med högsta noggrannhet på 85%. Vårt antagande att titeln är det mest värdefulla attributet bekräftades. Därtill är om- vandling av vår lösning till ett K-närmaste grannproblem för att optimera den för miljontals produkter gav lovande resultat.

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Simonich, Heather K. "Sex differences in social support among cancer patients." Virtual Press, 2001. http://liblink.bsu.edu/uhtbin/catkey/1222834.

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Social support is likely to play an especially important role in coping with a cancer diagnosis as it presents a unique set of stressors to the individual. The purpose of this study was to examine biological sex differences in the perceived availability of three modes of social support (emotional, instrumental, and informational), source of support (friends vs. family), and social support seeking behavior in a population of cancer patients. The sample included 71 men and 71 women who had been diagnosed with cancer within two years of the start of the study. No significant sex differences were found in social support seeking; however, results revealed that women perceived greater availability of emotional support as well as greater support from friends on all modes of social support than did men. Implications of these findings and future directions for research are discussed.
Department of Counseling Psychology and Guidance Services

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Hwang, Sun Ok. "The Relationships Among Perceived Effectiveness of Network-Building Training Approaches, Extent of Advice Networks, and Perceived Individual Job Performance Among Employees in a Semiconductor Manufacturing Company in Korea." The Ohio State University, 2010. http://rave.ohiolink.edu/etdc/view?acc_num=osu1268891513.

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Alatorre, Erika Yolanda, and Angelica Lemus. "Foster caregivers' opinions on the causes of multiple placements among foster children." CSUSB ScholarWorks, 2005. https://scholarworks.lib.csusb.edu/etd-project/2915.

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The purpose of the study was to gather data that could help minimize the number of placements that foster children often experience. The results of this study are intended to help California child welfare agencies and other foster care agencies develop additional policies that support the development of stable foster care placements for dependent children.

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Yue, Pui-hang, and 余珮珩. "Social support and self-rated health among older adults with diabetes mellitus." Thesis, The University of Hong Kong (Pokfulam, Hong Kong), 1999. http://hub.hku.hk/bib/B31250798.

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Books on the topic "Networks of relationships among sophists"

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McWilliam, R. A. Cultural models among African American families receiving early intervention services. [Chapel Hill, N.C.]: University of North Carolina, 1998.

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Kibria, Nazli. New images of immigrant women: A study of women's social groups among Vietnamese refugees. Wellesley, Mass: Wellesley College, Center for Research on Women, 1987.

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Panzironi, Francesca. Networks. Oxford University Press, 2017. http://dx.doi.org/10.1093/acrefore/9780190846626.013.270.

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A network may refer to “a group of interdependent actors and the relationships among them,” or to a set of nodes linked by a web of interdependencies. The concept of networks has its origins in earlier philosophical and sociological ideas such as Jean-Jacques Rousseau’s “general will” and Émile Durkheim’s “social facts”, which adressed social and political communities and how decisions are mediated and ideas are structured within them. Networks encompass a wide range of theoretical interpretations and critical applications across different disciplines, including governance networks, policy networks, public administration networks, social movement networks, intergovernmental networks, social networks, trade networks, computer networks, information networks, and neural networks. Governance networks have been proposed as alternative pluricentric governance models representing a new form of negotiated governance based on interdependence, negotiation and trust. Such networks differ from the competitive market regulation and state hierarchical control in three aspects: the relationship between the actors, decision-making processes, and compliance. The decision-making processes within governance networks are founded on a reflexive rationality rather than the “procedural rationality” which characterizes the competitive market regulation and the “substantial rationality” which underpins authoritative state regulation. Network theory has proved especially useful for scholars in positing the existence of loosely defined and informal webs of experts or advocates that can have a real and substantial influence on international relations discourse and policy. Two examples of the use of network theory in action are transnational advocacy networks and epistemic communities.

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Hertz, Rosanna, and Margaret K. Nelson. Choice in Donor Sibling Networks. Oxford University Press, 2018. http://dx.doi.org/10.1093/oso/9780190888275.003.0012.

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The conclusion of the book explains how relationships within networks of donor siblings begin with the idea of genes. Initially, both parents and children talk about a connection that highlights shared genes. In turn, these shared genes provide both the excitement and the elasticity in donor sibling networks. Ultimately, however, the conclusion argues that what becomes important within these networks is the idea of choice. The parents value connections with others they have come to like; the same is true among the children within a given donor sibling network. The conclusion offers no simple answer to the question of whether connections among genetic relatives can create meaningful bonds that could result in a new kind of voluntary family.

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Broadbent, Jeffrey. Comparative Climate Change Policy Networks. Edited by Jennifer Nicoll Victor, Alexander H. Montgomery, and Mark Lubell. Oxford University Press, 2016. http://dx.doi.org/10.1093/oxfordhb/9780190228217.013.38.

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This chapter explains the method of policy network (PN) analysis and its benefits (and limits) for cross-national comparative analysis. The purpose of the PN approach is to understand how the structure of relationships among organizations engaged in a policy domain affects the content of policy and outcomes. The chapter illustrates the use of the PN method with reference to the ongoing cross-national project Comparing Climate Change Policy Networks (Compon). Global climate change constitutes an (un)naturally occurring quasi-experiment; in the face of a common threat, the various societies have exhibited divergent responses to reducing the cause, carbon emissions. This research project and network method can provide knowledge helpful to global negotiations as well as open up new vistas on thorny theoretical questions about the behavior and outputs of political systems.

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Rucas, Stacey L. Cooperation Drives Competition among Tsimane Women in the Bolivian Amazon. Edited by Maryanne L. Fisher. Oxford University Press, 2015. http://dx.doi.org/10.1093/oxfordhb/9780199376377.013.10.

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This chapter connects work conducted among the Tsimane of Bolivia with others and highlights the value and scope of social capital as a driver of competition among women. It further examines proximate and ultimate levels of causation to understand what forces instigate women to seek relationships with certain individuals and what benefits might be reaped through costly investments in maintenance of social status and networks. In particular, women invest in social resources such as friendships, kin-groups, and social status because they may increase inclusive fitness through higher quantity or quality of offspring. Finally, the chapter connects the ultimate effects with their underlying proximate levels of causation, showing that women view cooperators, helpers, and advisors as more interpersonally attractive. The conclusion offers a robust connection between proximate and ultimate causation effects and helps explain in richer theoretical detail the extent, progression, and complexity of women’s same-sex relationships over evolutionary time.

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Miller, Alissa A., and Stacey L. Rucas. Social Aggression, Sleep, and Well-Being among Sidama Women of Rural Southwestern Ethiopia. Edited by Maryanne L. Fisher. Oxford University Press, 2016. http://dx.doi.org/10.1093/oxfordhb/9780199376377.013.24.

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Many researchers have studied how social competition and aggression affect health and well-being. However, few have made significant theoretical contributions to the understanding of how competition and aggression specific to women’s same-sex social networks may alter their health and well-being. Indeed, several lines of research indicate that positive interpersonal relationships between women are correlated to improved health, and, as a corollary, stressful and competitive interpersonal relationships result in significant health costs. Using evolutionary ecological theory and supporting data from Sidama pastoralist women in rural southwestern Ethiopia, this essay proposes that sleep quality and trade-offs between time spent sleeping for more waking time may be one of the pathways through which women’s health is affected by competition and aggression with other women. Sleep is gained or lost due to ruminations and investments over immediate social situations with other women, and this in turn can affect women’s health and well-being.

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Henry, Adam Douglas. Network Segregation and Policy Learning. Edited by Jennifer Nicoll Victor, Alexander H. Montgomery, and Mark Lubell. Oxford University Press, 2016. http://dx.doi.org/10.1093/oxfordhb/9780190228217.013.23.

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Learning is an important concept in the study of public policy and covers a range of actions where evidence is used to shape and improve decisions, including using science to inform responses to problems; adjusting policy based on successes and failures; and forming new beliefs about salient issues, their causes, and appropriate solutions. Network concepts are central to theoretical treatments of learning. Three assumptions are often made about networks and their role in learning processes: (1) most policy networks exhibit segregation, in the sense that network ties tend to exist among actors with shared traits, such as belief systems or institutional affiliations; (2) segregated networks inhibit policy learning; and (3) network segregation is a result of homophily. This chapter reviews the rich literature underlying each of these propositions and shows that the relationships between networks and learning are more complex than often assumed.

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Hemmelgarn, Anthony L., and Charles Glisson. Relationship-centered versus Individual-centered Human Service Organizations. Oxford University Press, 2018. http://dx.doi.org/10.1093/oso/9780190455286.003.0013.

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The chapter explains that relationship-centered organizations place a priority on developing and sustaining a network of inter-organizational and intra-organizational relationships to serve clients. Case studies drawn from the authors’ experiences in human service organizations illustrate the application of this principle, including ensuring that strong networks are in place to serve clients and maintaining underlying beliefs, assumptions, and mindsets of service providers that support network development. Research and examples illustrate the importance of establishing effective relationships among service providers, between service providers and clients, and throughout the network of stakeholders associated with clients. A case study illustrates how the ARC process fosters a relationship-centered approach with external stakeholders to achieve client success.

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Swartz, David R. Facing West. Oxford University Press, 2020. http://dx.doi.org/10.1093/oso/9780190250805.001.0001.

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The dramatic growth of Christianity in the Global South over the last century has shifted the balance of power away from strongholds in Europe and the United States. While we typically imagine religion traveling from West to East and from North to South, David R. Swartz shows that lines of influence also run in other directions. Missionaries and non-Western evangelicals have shaped the American evangelical church. On issues of race, economics, human rights, and social justice, these complex transnational relationships often feature accommodation and mutuality, and they often push toward cosmopolitan sensibilities among elite and establishment evangelicals. But they also feature resistance among American evangelical populists, many of whom voted for Donald Trump in 2016. And on issues of sexuality and the supernatural, they draw sustenance from the Global South. This geographically expansive book, which spans Asia, Africa, and South America, offers new insights into a tradition that imagines itself as both American and part of a global communion. It considers how evangelical networks not only go out to, but also come from, the ends of the earth.

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Book chapters on the topic "Networks of relationships among sophists"

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Msanjila, Simon Samwel, and Hamideh Afsarmanesh. "Towards Establishing Trust Relationships among Organizations in VBEs." In Establishing the Foundation of Collaborative Networks, 3–14. Boston, MA: Springer US, 2007. http://dx.doi.org/10.1007/978-0-387-73798-0_1.

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Caielli, Andrea, Marco Brambilla, Stefano Ceri, and Florian Daniel. "Harvesting Knowledge from Social Networks: Extracting Typed Relationships Among Entities." In Current Trends in Web Engineering, 223–27. Cham: Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-319-74433-9_20.

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Walrand, Jean. "Networks—B." In Probability in Electrical Engineering and Computer Science, 93–113. Cham: Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-49995-2_6.

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AbstractThis chapter provides the derivations of the results in the previous chapter. It also develops the theory of continuous-time Markov chains.Section 6.1 proves the results on the spreading of rumors. Section 6.2 presents the theory of continuous-time Markov chains that are used to model queueing networks, among many other applications. That section explains the relationships between continuous-time and related discrete-time Markov chains. Sections 6.3 and 6.4 prove the results about product-form networks by using a time-reversal argument.

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Silva, Edeilson Milhomem, Diego Oliveira Rodrigues, Jackson Gomes de Souza, Parcilene Fernandes de Brito, Ana Carolina Salgado, Silvio Romero Lemos Meira, and José Alfredo F. Costa. "Inferring Hidden Trust Relationships in Social Networks for Encouraging Collaboration and Cooperation among Individuals." In Lecture Notes in Computer Science, 42–60. Berlin, Heidelberg: Springer Berlin Heidelberg, 2013. http://dx.doi.org/10.1007/978-3-642-41347-6_5.

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Miguel-Tomé, Sergio. "An Experimental Study on the Relationships Among Neural Codes and the Computational Properties of Neural Networks." In From Bioinspired Systems and Biomedical Applications to Machine Learning, 44–57. Cham: Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-030-19651-6_5.

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Jauhiainen, Jussi S., and Miriam Tedeschi. "Internet and Social Media Use of Undocumented Migrants." In IMISCOE Research Series, 149–63. Cham: Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-68414-3_6.

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AbstractThe internet and social media are crucial tools in asylum-related journeys and the lives of undocumented migrants in their destination countries. Many use the internet and social media in the country of origin to prepare and plan the trip, and their use becomes even more common during their asylum-related journeys. In the destination country, use of the internet and social media becomes a common, if not an everyday, necessity. In general, the digital divides diminish along their journeys to the destination countries.This chapter explores the access of undocumented migrants to the internet and social media applications; their ability to use them; and the impact of their use in their country of origin, during their journeys, and in the destination country (Finland). Internet and social media are important tools for building and maintaining social relationships; staying in touch with family; and finding a job, food and clothing, and shelter for the night. Finally, the chapter analyses rumours and misinformation on the internet and in social media, as well as among the migrants’ own networks.

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Saulītis, Andris, and Inta Mieriņa. "Latvian Emigrants in the United States: Different Waves, Different Identities?" In IMISCOE Research Series, 203–29. Cham: Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-030-12092-4_10.

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Abstract This chapter studies the relationships and interaction among the Latvian emigrants from different migration waves in the United States. It specifically examines reasons for the inability of the existing and politically and culturally active Latvian diaspora community in the United States to integrate newcomers from Latvia. The diaspora community is formed mostly of migrants who left Latvia after World War II. The research is based on a mix of two sources of information and methods – qualitative analysis of in-depth interviews with the ‘new’ Latvian emigrants in the United States in 2014, who began arriving there in 1991 and quantitative data analysis of The Emigrant Communities of Latvia survey. The study illustrates that the migrants from the most recent emigration wave distance themselves to a large extent from the previous migration wave. Additionally, the most recent migrants do not have strong social ties or active networks with Latvians back home and, therefore, cannot be considered as being a part of a transnational community, which is a characteristic of the previous Latvian migration wave. Instead, the migrants from the most recent wave base their belonging on the notion of having roots in Europe in terms of cultural heritage and identity. For this reason, they are to be considered as so-called ‘nomadic’ migrants, although this differs substantially from the way the concept is used in the academic literature so far – there is no return point back home, as they only look forward.

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Brown, Edna, Terri L. Orbuch, and Artie Maharaj. "Social Networks and Marital Stability Among Black American and White American Couples." In Support Processes in Intimate Relationships, 318–34. Oxford University Press, 2010. http://dx.doi.org/10.1093/acprof:oso/9780195380170.003.0013.

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Li, Juan, Ranjana Sharma, and Yan Bai. "Discovering Complex Relationships of Drugs over Distributed Knowledgebases." In Mobile Computing and Wireless Networks, 1572–91. IGI Global, 2016. http://dx.doi.org/10.4018/978-1-4666-8751-6.ch070.

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Drug discovery is a lengthy, expensive and difficult process. Indentifying and understanding the hidden relationships among drugs, genes, proteins, and diseases will expedite the process of drug discovery. In this paper, we propose an effective methodology to discover drug-related semantic relationships over large-scale distributed web data in medicine, pharmacology and biotechnology. By utilizing semantic web and distributed system technologies, we developed a novel hierarchical knowledge abstraction and an efficient relation discovery protocol. Our approach effectively facilitates the realization of the full potential of harnessing the collective power and utilization of the drug-related knowledge scattered over the Internet.

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Dean, Laura A. "Linkages among actors in anti-trafficking networks." In Diffusing Human Trafficking Policy in Eurasia, 99–120. Policy Press, 2020. http://dx.doi.org/10.1332/policypress/9781447352839.003.0005.

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This chapter discusses how anti-trafficking institutions work together to form anti-trafficking networks illustrating the connections and cooperation among the different institutions. A network analysis is used to examine implementation networks, focusing on how different actors in the human trafficking policy subsystem come together and the ties that bind them. The networks of anti-trafficking institutions in each country reveal a stark divide and disconnect between criminalization aspects of the policy with law enforcement and police and the social aspects with rehabilitation for victims mostly performed by NGOs and women’s advocacy networks. The analysis revealed the Russian network is the smallest and most fragmented but also the densest while the Latvian network is the most cohesive with the largest number of reciprocal ties facilitated by the working group. The network in Ukraine has the highest average of incoming and outgoing connections and the most efficient connection between actors in the network. There was also evidence of interest groups in Ukraine and Russia moving around impediments in the national government by creating their own networks and lobbying specific regional level entities who were more open to cooperation. The results show that the more effective the anti-trafficking institutions are in a country, the more cohesive the anti-trafficking network is at facilitating reciprocal relationships.

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Conference papers on the topic "Networks of relationships among sophists"

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Chung, Yun-Sheng, D. Frank Hsu, and Chuan Yi Tang. "On the Relationships Among Various Diversity Measures in Multiple Classifier Systems." In 2008 International Symposium on parallel Architectures, Algorighms and Networks I-SPAN. IEEE, 2008. http://dx.doi.org/10.1109/i-span.2008.46.

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Blanco-Fernandez, Yolanda, Martin Lopez-Nores, Jose J. Pazos-Arias, and Manuela I. Martin-Vicente. "Spreading influence values over weighted relationships among users of several social networks." In 2012 IEEE International Conference on Pervasive Computing and Communications Workshops (PerCom Workshops). IEEE, 2012. http://dx.doi.org/10.1109/percomw.2012.6197467.

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Malhotra, Deepanshu, and Rahul Katarya. "A Survey of Different Methods in Finding Latent Relationships among Complex Networks." In 2019 4th International Conference on Information Systems and Computer Networks (ISCON). IEEE, 2019. http://dx.doi.org/10.1109/iscon47742.2019.9036260.

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Dabeva, Tania, and Georgina Lukanova. "FEATURES OF CONNECTIVITY AMONG FRANCHISING NETWORKS IN HOTEL INDUSTRY." In TOURISM AND CONNECTIVITY 2020. University publishing house "Science and Economics", University of Economics - Varna, 2020. http://dx.doi.org/10.36997/tc2020.473.

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The main thesis supported in this study is that connectivity is embedded in the hotel franchise due to its systemic nature, the number of participating levels, elements and entities, the complex relationships between them, the transfer of tangible and intangible assets, multifaceted communications of formal and informal nature and others. In this regard, the main purpose of the paper is to reveal the nature of connectivity in the hotel franchise and how it affects the functioning and development of the system. The first part of the report examines the peculiarities of the relationships between business entities in the hotel franchise. The next part presents two main concepts for connectivity management in franchising networks in the hotel industry, and at the end some conclusions and recommendations for the development of franchise partner networks are systematized.

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de Almeida, Gustavo M., Marcelo Cardoso, Danilo C. Rena, and Song W. Park. "Graphical representation of cause-effect relationships among chemical process variables using a neural network approach." In 2008 IEEE International Joint Conference on Neural Networks (IEEE World Congress on Computational Intelligence). IEEE, 2008. http://dx.doi.org/10.1109/ijcnn.2008.4634172.

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Xu, Yanan, Yanmin Zhu, Yanyan Shen, and Jiadi Yu. "Learning Shared Vertex Representation in Heterogeneous Graphs with Convolutional Networks for Recommendation." In Twenty-Eighth International Joint Conference on Artificial Intelligence {IJCAI-19}. California: International Joint Conferences on Artificial Intelligence Organization, 2019. http://dx.doi.org/10.24963/ijcai.2019/642.

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Collaborative Filtering (CF) is among the most successful techniques in recommendation tasks. Recent works have shown a boost of performance of CF when introducing the pairwise relationships between users and items or among items (users) using interaction data. However, these works usually only utilize one kind of information, i.e., user preference in a user-item interaction matrix or item dependency in interaction sequences which can limit the recommendation performance. In this paper, we propose to mine three kinds of information (user preference, item dependency, and user similarity on behaviors) by converting interaction sequence data into multiple graphs (i.e., a user-item graph, an item-item graph, and a user-subseq graph). We design a novel graph convolutional network (PGCN) to learn shared representations of users and items with the three heterogeneous graphs. In our approach, a neighbor pooling and a convolution operation are designed to aggregate features of neighbors. Extensive experiments on two real-world datasets demonstrate that our graph convolution approaches outperform various competitive methods in terms of two metrics, and the heterogeneous graphs are proved effective for improving recommendation performance.

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Gomes Jr., Luiz. "In-class social networks and academic performance: how good connections can improve grades." In XXXIV Simpósio Brasileiro de Banco de Dados. Sociedade Brasileira de Computação - SBC, 2019. http://dx.doi.org/10.5753/sbbd.2019.8805.

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Understanding how different variables affect student performance is an important requirement for improving educational practices. Since humans are highly social beings, social factors should play a significant role in the academic context. This paper analyzes the impact on academic performance of social indicators such as students friendship circle and in-class clustering. The analysis is based on data from six different classes of the topic Databases taken by students of computing-related majors. We assessed students’ friendship circle in terms of density (sociability) and also quality (grades) of their friends. The paper shows results with strong, statistically relevant relationships between the social factors and student performance. Among other results, the analysis indicates that (i) students with higher social capital tend to perform better, and (ii) students with friends with higher grades have better chances of recovering from a low exam grade.

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Teng, Xian, Muheng Yan, Ali Mert Ertugrul, and Yu-Ru Lin. "Deep into Hypersphere: Robust and Unsupervised Anomaly Discovery in Dynamic Networks." In Twenty-Seventh International Joint Conference on Artificial Intelligence {IJCAI-18}. California: International Joint Conferences on Artificial Intelligence Organization, 2018. http://dx.doi.org/10.24963/ijcai.2018/378.

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The increasing and flexible use of autonomous systems in many domains -- from intelligent transportation systems, information systems, to business transaction management -- has led to challenges in understanding the "normal" and "abnormal" behaviors of those systems. As the systems may be composed of internal states and relationships among sub-systems, it requires not only warning users to anomalous situations but also provides "transparency" about how the anomalies deviate from normalcy for more appropriate intervention. We propose a unified anomaly discovery framework "DeepSphere" that simultaneously meet the above two requirements -- identifying the anomalous cases and further exploring the cases' anomalous structure localized in spatial and temporal context. DeepSphere leverages deep autoencoders and hypersphere learning methods, having the capability of isolating anomaly pollution and reconstructing normal behaviors. DeepSphere does not rely on human annotated samples and can generalize to unseen data. Extensive experiments on both synthetic and real datasets demonstrate the consistent and robust performance of the proposed method.

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Chen, Huiyuan, and Jing Li. "Learning Data-Driven Drug-Target-Disease Interaction via Neural Tensor Network." In Twenty-Ninth International Joint Conference on Artificial Intelligence and Seventeenth Pacific Rim International Conference on Artificial Intelligence {IJCAI-PRICAI-20}. California: International Joint Conferences on Artificial Intelligence Organization, 2020. http://dx.doi.org/10.24963/ijcai.2020/477.

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Precise medicine recommendations provide more effective treatments and cause fewer drug side effects. A key step is to understand the mechanistic relationships among drugs, targets, and diseases. Tensor-based models have the ability to explore relationships of drug-target-disease based on large amount of labeled data. However, existing tensor models fail to capture complex nonlinear dependencies among tensor data. In addition, rich medical knowledge are far less studied, which may lead to unsatisfied results. Here we propose a Neural Tensor Network (NeurTN) to assist personalized medicine treatments. NeurTN seamlessly combines tensor algebra and deep neural networks, which offers a more powerful way to capture the nonlinear relationships among drugs, targets, and diseases. To leverage medical knowledge, we augment NeurTN with geometric neural networks to capture the structural information of both drugs’ chemical structures and targets’ sequences. Extensive experiments on real-world datasets demonstrate the effectiveness of the NeurTN model.

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Chen, Yu, Lingfei Wu, and Mohammed J. Zaki. "GraphFlow: Exploiting Conversation Flow with Graph Neural Networks for Conversational Machine Comprehension." In Twenty-Ninth International Joint Conference on Artificial Intelligence and Seventeenth Pacific Rim International Conference on Artificial Intelligence {IJCAI-PRICAI-20}. California: International Joint Conferences on Artificial Intelligence Organization, 2020. http://dx.doi.org/10.24963/ijcai.2020/171.

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Conversational machine comprehension (MC) has proven significantly more challenging compared to traditional MC since it requires better utilization of conversation history. However, most existing approaches do not effectively capture conversation history and thus have trouble handling questions involving coreference or ellipsis. Moreover, when reasoning over passage text, most of them simply treat it as a word sequence without exploring rich semantic relationships among words. In this paper, we first propose a simple yet effective graph structure learning technique to dynamically construct a question and conversation history aware context graph at each conversation turn. Then we propose a novel Recurrent Graph Neural Network, and based on that, we introduce a flow mechanism to model the temporal dependencies in a sequence of context graphs. The proposed GraphFlow model can effectively capture conversational flow in a dialog, and shows competitive performance compared to existing state-of-the-art methods on CoQA, QuAC and DoQA benchmarks. In addition, visualization experiments show that our proposed model can offer good interpretability for the reasoning process.

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Reports on the topic "Networks of relationships among sophists"

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Oppel, Annalena. Beyond Informal Social Protection – Personal Networks of Economic Support in Namibia. Institute of Development Studies (IDS), November 2020. http://dx.doi.org/10.19088/ids.2020.002.

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This paper poses a different lens on informal social protection (ISP). ISP is generally understood as practices of livelihood support among individuals. While studies have explored the social dynamics of such, they rarely do so beyond the conceptual space of informalities and poverty. For instance, they discuss aspects of inclusion, incentives and disincentives, efficiency and adequacy. This provides important insights on whether and to what extent these practices provide livelihood support and for whom. However, doing so in part disregards the socio-political context within which support practices take place. This paper therefore introduces the lens of between-group inequality through the Black Tax narrative. It draws on unique mixed method data of 205 personal support networks of Namibian adults. The results show how understanding these practices beyond the lens of informal social protection can provide important insights on how economic inequality resonates in support relationships, which in turn can play a part in reproducing the inequalities to which they respond.

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Johnson, Eric M., and Robert Chew. Social Network Analysis Methods for International Development. RTI Press, May 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; with whom goods and services are exchanged; who people value, trust, or respect; who has power and influence and who is excluded; and how these dynamics change over time. This brief advances the case for use of SNA in international development, outlines general approaches, and discusses two recently conducted case studies that illustrate its potential. It concludes with recommendations for how to increase SNA use in international development.

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Syvash, Kateryna. AUDIENCE FEEDBACK AS AN ELEMENT OF PARASOCIAL COMMUNICATION WITH SCREEN MEDIA-PERSONS. Ivan Franko National University of Lviv, February 2021. http://dx.doi.org/10.30970/vjo.2021.49.11062.

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Parasocial communication is defined as an illusory and one-sided interaction between the viewer and the media person, which is analogous to interpersonal communication. Among the classic media, television has the greatest potential for such interaction through a combination of audio and visual series and a wide range of television content – from newscasts to talent shows. Viewers’ reaction to this product can be seen as a defining element of parasociality and directly affect the popularity of a media person and the ratings of the TV channel. In this article we will consider feedback as part of parasocial communication and describe ways to express it in times of media transformations. The psychological interaction «media person – viewer» had been the focus of research by both psychologists and media experts for over 60 years. During the study, scientists described the predictors, functions, manifestations and possible consequences of paracommunication. One of the key elements of the formed parasocial connections is the real audience reaction. Our goal is to conceptualize the concept of feedback in the paradigm of parasocial communication and describe the main types of reactions to the media person in long-term parasocial relationships. The research focuses on the ways in which the viewer’s feedback on the television media person is expressed, bypassing the issue of classifying the audience’s feedback as «positive» and «negative». For this purpose, more than 20 interdisciplinary scientific works on the issue of parasocial interaction were analyzed and their generalization was carried out. Based on previous research, the types and methods of feedback in the television context are separated. With successful parasocial interaction, the viewer can react in different ways to the media person. The type of feedback will directly depend on the strength of the already established communication with the media person. We distinguish seven types of feedback and divide them into those that occur during or after a television show; those that are spontaneous or planned; aimed directly at the media person or third parties. We offer the following types of feedback from TV viewers: «talking to the TV»; telling about the experience of parasocial communication to others; following on social networks; likes and comments; imitation of behavior and appearance; purchase of recommended brands; fanart.

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Hilbrecht, Margo, David Baxter, Alexander V. Graham, and Maha Sohail. Research Expertise and the Framework of Harms: Social Network Analysis, Phase One. GREO, December 2020. http://dx.doi.org/10.33684/2020.006.

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In 2019, the Gambling Commission announced a National Strategy to Reduce Gambling Harms. Underlying the strategy is the Framework of Harms, outlined in Measuring gambling-related harms: A framework for action. "The Framework" adopts a public health approach to address gambling-related harm in Great Britain across multiple levels of measurement. It comprises three primary factors and nine related subfactors. To advance the National Strategy, all componentsneed to be supported by a strong evidence base. This report examines existing research expertise relevant to the Framework amongacademics based in the UK. The aim is to understand the extent to which the Framework factors and subfactors have been studied in order to identify gaps in expertise and provide evidence for decision making thatisrelevant to gambling harms research priorities. A social network analysis identified coauthor networks and alignment of research output with the Framework. The search strategy was limited to peer-reviewed items and covered the 12-year period from 2008 to 2019. Articles were selected using a Web of Science search. Of the 1417 records identified in the search, the dataset was refined to include only those articles that could be assigned to at least one Framework factor (n = 279). The primary factors and subfactors are: Resources:Work and Employment, Money and Debt, Crime;Relationships:Partners, Families and Friends, Community; and Health:Physical Health, Psychological Distress, and Mental Health. We used Gephi software to create visualisations reflecting degree centrality (number of coauthor networks) so that each factor and subfactor could be assessed for the density of research expertise and patterns of collaboration among coauthors. The findings show considerable variation by framework factor in the number of authors and collaborations, suggesting a need to develop additional research capacity to address under-researched areas. The Health factor subcategory of Mental Health comprised almost three-quarters of all citations, with the Resources factor subcategory of Money and Debt a distant second at 12% of all articles. The Relationships factor, comprised of two subfactors, accounted for less than 10%of total articles. Network density varied too. Although there were few collaborative networks in subfactors such as Community or Work and Employment, all Health subfactors showed strong levels of collaboration. Further, some subfactors with a limited number of researchers such as Partners, Families, and Friends and Money and debt had several active collaborations. Some researchers’ had publications that spanned multiple Framework factors. These multiple-factor researchers usually had a wide range of coauthors when compared to those who specialised (with the exception of Mental Health).Others’ collaborations spanned subfactors within a factor area. This was especially notable forHealth. The visualisations suggest that gambling harms research expertise in the UK has considerable room to grow in order to supporta more comprehensive, locally contextualised evidence base for the Framework. To do so, priority harms and funding opportunities will need further consideration. This will require multi-sector and multidisciplinary collaboration consistent with the public health approach underlying the Framework. Future research related to the present analysis will explore the geographic distribution of research activity within the UK, and research collaborations with harms experts internationally.

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