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result(s) for
"Social network analysis"
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Social Media and Society
2023
Social Media and Society brings together a range of scholars working at the intersection of discourse studies, digital media, and society. It is meant to respond to changes in discourse technologies, i.e. the techno-discursive dynamic of social media discourses.
The effect of the board on corporate social responsibility: bibliometric and social network analysis
by
Tormo-Carbó, Guillermina
,
Seguí-Mas, Elies
,
Dwekat, Aladdin
in
bibliometric analysis
,
Bibliometrics
,
board of directors
2020
This is the first study that presents a full picture of the field by using a combination of two methodologies, bibliometric and social network analysis (SNA). Thus, this work maps the knowledge of previous research and suggest new avenues for future research for the relationship between board characteristics and corporate social responsibility (CSR) and CSR disclosure (CSRD). We analysed 242 articles published on Web of Science database (WoS) journals for the period 1992-2019. The results show that board characteristics have a significant impact on CSR literature in terms of citations and high-quality journals. Moreover, the trend of the papers published in the field is increasing in the last five years. Our work clusters the literature according to keywords and draws the primary authors' networks. This study also draws potential future avenues for research in the field in terms of research gaps (governance mechanisms, variables, countries, etc.). Furthermore, our results suggest some potential areas of interest for future political reforms of board of directors' guidelines.
Journal Article
Exploring the characteristics of the cadets’ learning network under military education
by
Chang, Kuei-Hu
,
Chen, Long-Hui
,
Chen, Ching-Wen
in
Cognition
,
Colleges & universities
,
Education
2024
Military academy education is a part of university education. This study aims to explore the characteristics and achievements of the learning network for military academies students in Taiwan order to understand the main reasons for the differences and to identify special students. Moreover, this study analyzed the social network to explain the patterns of the students’ learning network. The findings are as follows. (1) An extensively connected learning network exists among the students of different classes. Students who comply with social norms have close relationships and interact frequently with each other. (2) Different cognition of social norms is the main reason leading to differences among students in their learning network and performance. Compliance with social norms is effectively conducive to the access and sharing of knowledge and improvement of learning performance. (3) The academic performances of those who have aloof relationships with their peers are polarized with either extreme good or extreme poor, and most of them comply with no notice or reflect the behavior of rejecting social norms. The academic contribution can support administrator as an important reference for planning education strategy.
Journal Article
The Oxford handbook of social networks
by
Light, Ryan, editor
in
Social networks.
,
Online social networks.
,
Social sciences Network analysis.
2020
\"Social networks fundamentally shape our lives. Networks channel the ways that information, emotions, and diseases flow through populations. Networks reflect differences in power and status in settings ranging from small peer groups to international relations across the globe. Network tools even provide insights into the ways that concepts, ideas and other socially generated contents shape culture and meaning. As such, the rich and diverse field of social network analysis has emerged as a central tool across the social sciences. This Handbook provides an overview of the theory, methods, and substantive contributions of this field. The thirty-three chapters move through the basics of social network analysis aimed at those seeking an introduction to advanced and novel approaches to modeling social networks statistically. The Handbook includes chapters on data collection and visualization, theoretical innovations, links between networks and computational social science, and how social network analysis has contributed substantively across numerous fields. As networks are everywhere in social life, the field is inherently interdisciplinary and this Handbook includes contributions from leading scholars in sociology, archaeology, economics, statistics, and information science among others\"-- Provided by publisher.
Biographical Reconstructive Network Analysis (BRNA): A Life Historical Approach in Social Network Analysis of Older Migrants in Australia
by
Krzyzowski, Lukasz
,
Brandhorst, Rosa
in
Analysis
,
Biografieforschung
,
biografisch rekonstruktive Netzwerkanalyse
2022
Während qualitative Ansätze in der sozialen Netzwerkanalyse florieren, sind Forschungsprozesse und insbesondere die Datenanalyse zumeist von einem strukturalen netzwerkanalytischen Paradigma geprägt. Zudem existieren unzureichend qualitativ-interpretative Ansätze zur Untersuchung sozialer Netzwerkdaten. Um diese Forschungslücke zu schließen, entwerfen und explizieren wir ein qualitatives Analyseverfahren, das auf dem Cultural Turn der sozialen Netzwerkanalyse aufbaut und sowohl subjektive Deutungsmuster als auch historisch/prozessuale Konfigurationen erfassen soll. Wir formulieren eine biografische netzwerkanalytische Perspektive, in der wir die Entwicklung eines sozialen Netzwerkes in der Lebensgeschichte analysieren. Am Beispiel einer Fallstudie aus einem Forschungsprojekt zu transnationalen sozialen Unterstützungsnetzwerken älterer Migrant*innen in Perth explizieren wir das Verfahren der biografisch rekonstruktiven Netzwerkanalyse (BRNA). BRNA ist ein kooperativ entwickeltes analytisches Verfahren der Erhebung und der Auswertung sozialer Netzwerkdaten. Bei der BRNA-Datenerhebung werden das narrativ-biografische Interview und ego-zentrische Netzwerkkarten trianguliert. Bei der Datenanalyse folgen wir biografisch-rekonstruktiven Forschungsprinzipien und Verfahren, um die Dynamiken sozialer Netzwerke in der Lebensgeschichte zu rekonstruieren und nachzuvollziehen.
Journal Article
Understanding criminal networks : a research guide
\"Understanding Criminal Networks is a short methodological primer for those interested in studying illicit, deviant, covert, or criminal networks using social network analysis (SNA). Accessibly written by Gisela Bichler, a leading expert in SNA for dark networks, the book is chock-full of graphics, checklists, software tips, step-by-step guidance, and straightforward advice. Covering all the essentials, each chapter highlights three themes: the theoretical basis of networked criminology; methodological issues and useful analytic tools; and producing professional analysis. Unlike any other book on the market, the book combines conceptual and empirical work with advice on designing networking studies, collecting data, and analysis. Relevant, practical, theoretical, and methodologically innovative, Understanding Criminal Networks promises to jumpstart readers' understanding of how to cross over from conventional investigations of crime to the study of criminal networks\"-- Provided by publisher.
Epinets
2014,2020,2015
Epinets presents a new way to think about social networks, which focuses on the knowledge that underlies our social interactions. Guiding readers through the web of beliefs that networked individuals have about each other and probing into what others think, this book illuminates the deeper character and influence of relationships among social network participants.
Drawing on artificial intelligence, the philosophy of language, and epistemic game theory, Moldoveanu and Baum formulate a lexicon and array of conceptual tools that enable readers to explain, predict, and shape the fabric and behavior of social networks. With an innovative and strategically-minded look at the assumptions that enable and clog our networks, this book lays the groundwork for a leap forward in our understanding of human relations.