Suchergebnisse

Intro -- Preface -- Contents -- Contributors -- Corrected Overlap Weight and Clustering Coefficient -- 1 Introduction -- 1.1 Network Element Importance Measures -- 2 Overlap Weight -- 2.1 Overlap Weight -- 2.2 US Airports Links with the Largest Overlap Weight -- 2.3 Corrected Overlap Weight -- 2.4 US Airports 1997 Links with the Largest Corrected Overlap Weight -- 2.5 Comparisons -- 3 Clustering Coefficient -- 3.1 Clustering Coefficient -- 3.2 US Airports with the Largest Clustering Coefficient -- 3.3 Corrected Clustering Coefficient -- 3.4 US Airports Nodes with the Largest Corrected Clustering Coefficient -- 3.5 Comparisons -- 4 Conclusions -- References -- Bottom-Up Collegiality, Top-Down Collegiality, or Inside-Out Collegiality? Analyses of Multilevel Networks, Institutional Entrepreneurship and Laboratories for Social Change -- 1 Introduction -- 2 Politics, Analysis of Multilevel Networks, and Multilevel Relational Infrastructures -- 3 Bottom-Up Collegiality, Top-Down Collegiality, and Inside-Out Collegiality -- 4 An Example of Top-Down Collegiality in Institutional Entrepreneurship -- 5 The Challenge of Contextualizing Multilevel Networks: Organized Mobility and Relational Turnover -- 6 Multispin for Contextualizing Multilevel Networks -- 7 Conclusion -- References -- Part I Methods -- Socio-Cultural Cognitive Mapping to Identify Communities and Latent Networks -- 1 Introduction -- 2 Related Work -- 3 Method -- 4 Empirical Results -- 4.1 Hatfield-McCoy Case Study -- 4.2 Ukrainian Parliament Case Study -- 5 Discussion -- 6 Conclusion and Future Work -- References -- Bootstrapping the Gini Index of the Network Degree: An Application for Italian Corporate Governance -- 1 Introduction -- 2 The Approach -- 3 Simulations -- 4 Application -- 5 Conclusions -- References.

AbstractIn the present study, we discuss how social network analysis approach can be fruitful exploited to study social support within family studies. An ego-centred network approach is adopted within a case study about social support networks of low income single mothers living in a city of southern Italy. We address three main issues. First, we aim to describe and explore the structure of social relationships that single mothers activate in order to obtain different kind of supports. Second, we investigate the main factors that affect the amount and variety of resources embedded in the single mothers' support networks. Third, we analyse the relationship between the received social support embedded in the ego network and the support perceived by mothers. Beyond the description of composition and structure of ego-centred networks through network measures and factorial methods, a series of regression models was estimated to assess factors explaining received and perceived support of single mothers.

AbstractThe special issue of "Networks in space and in time: methods and applications" contributes to the debate on contextual analysis in network science. It includes seven research papers that shed light on the analysis of network phenomena studied within geographic space and across temporal dimensions. In these papers, methodological issues as well as specific applications are described from different fields. We take the seven papers, study their citations and texts, and relate them to the broader literature. By exploiting the bibliographic information and the textual data of these seven documents, citation analysis and lexical correspondence analysis allow us to evaluate the connections among the papers included in this issue.

AbstractA stream of research on co-authorship, used as a proxy of scholars' collaborative behavior, focuses on members of a given scientific community defined at discipline and/or national basis for which co-authorship data have to be retrieved. Recent literature pointed out that international digital libraries provide partial coverage of the entire scholar scientific production as well as under-coverage of the scholars in the community. Bias in retrieving co-authorship data of the community of interest can affect network construction and network measures in several ways, providing a partial picture of the real collaboration in writing papers among scholars. In this contribution, we collected bibliographic records of Italian academic statisticians from an online platform (IRIS) available at most universities. Even if it guarantees a high coverage rate of our population and its scientific production, it is necessary to deal with some data quality issues. Thus, a web scraping procedure based on a semi-automatic tool to retrieve publication metadata, as well as data management tools to detect duplicate records and to reconcile authors, is proposed. As a result of our procedure, it emerged that collaboration is an active and increasing practice for Italian academic statisticians with some differences according to the gender, the academic ranking, and the university location of scholars. The heuristic procedure to accomplish data quality issues in the IRIS platform can represent a working case report to adapt to other bibliographic archives with similar characteristics.