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Social Media and Society
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.
eBook
The effect of the board on corporate social responsibility: bibliometric and social network analysis
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
Biographical Reconstructive Network Analysis (BRNA): A Life Historical Approach in Social Network Analysis of Older Migrants in Australia
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
The Oxford handbook of social networks
\"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.
Book
The two-mode network approach to digital skills and tasks among technology park employees
Objective: The article predicts how the performance of tasks understood as tasks shared between a dyad can be predicted based on the perceptual difference of behaviors in terms of the digital skills of technology park employees (social actors). Here, employees serve park tenants mainly from the creative, game, IT and multimedia industries, and broadly understood audiovisuals. Research Design Methods: The questionnaire previously validated by other authors was used to measure employees’ digital skills and two non-parametric network statistics tests based on data permutation were conducted: the quadratic assignment procedure (QAP) and the multiple regression quadratic assignment procedure (MRQAP), which are good at error autocorrelation. Findings: The results show that there is a relationship between selected digital skills and tasks shared among employees; digital skills influence behavior patterns, thus increasing or decreasing tasks shared in the workplace; moreover, dyad embedded in an intra-organizational social network is more appropriate for anticipating inherently relational tasks sharing between employees in a knowledge-intensive organization. Implications Recommendations: The findings contribute to the literature on digital skills and shared tasks from a dyadic and organizational perspective by deepening the understanding of the relationship between a pair of employees. Organizations should apply digital skills training to influence interpersonal relationships and thus the effectiveness of task performance and business processes. It seems necessary to develop and implement policy’s assumptions about increasing the digital skill level of its employees. Contribution Value Added: The article shows digital skills (information management, information evaluation, communication sharing, communication building, communication networking, collaboration, critical thinking, creativity, problem solving) in connection with the tasks performed in the workplace in terms of dyads and two-mode networks (actors and digital skills; actors and tasks performed). In this perspective, the perceptual differences of behaviors in digital skills are considered, which from the network perspective have not yet been explored by other researchers.
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.
Book
Mapping theme trends and knowledge structures for human neural stem cells: a quantitative and co-word biclustering analysis for the 2013-2018 period
Neural stem cells, which are capable of multi-potential differentiation and self-renewal, have recently been shown to have clinical potential for repairing central nervous system tissue damage. However, the theme trends and knowledge structures for human neural stem cells have not yet been studied bibliometrically. In this study, we retrieved 2742 articles from the PubMed database from 2013 to 2018 using \"Neural Stem Cells\" as the retrieval word. Co-word analysis was conducted to statistically quantify the characteristics and popular themes of human neural stem cell-related studies. Bibliographic data matrices were generated with the Bibliographic Item Co-Occurrence Matrix Builder. We identified 78 high-frequency Medical Subject Heading (MeSH) terms. A visual matrix was built with the repeated bisection method in gCLUTO software. A social network analysis network was generated with Ucinet 6.0 software and GraphPad Prism 5 software. The analyses demonstrated that in the 6-year period, hot topics were clustered into five categories. As suggested by the constructed strategic diagram, studies related to cytology and physiology were well-developed, whereas those related to neural stem cell applications, tissue engineering, metabolism and cell signaling, and neural stem cell pathology and virology remained immature. Neural stem cell therapy for stroke and Parkinson's disease, the genetics of microRNAs and brain neoplasms, as well as neuroprotective agents, Zika virus, Notch receptor, neural crest and embryonic stem cells were identified as emerging hot spots. These undeveloped themes and popular topics are potential points of focus for new studies on human neural stem cells.
Journal Article