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Language: search.filters.language.EnglishSubject: search.filters.subject.Social Network Analysis

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  • Item type:Publication,
    The role of women scholars in the Chilean collaborative educational research: a social network analysis Open PDF 
    (2019)
    Queupil, J.P.
    ;
    Muñoz-García, A.L.
    Collaboration is an indispensable tool to promote and increase research. However, little is known about the role of women in collaborative efforts among educational scholars, especially in developing countries, such as Chile. We apply social network analysis (SNA) to examine the relationships and patterns that emerge from a dataset retrieved from Web of Science (WoS) of coauthored scholarly publications. Using sociograms and networks’ centrality indicators (density, degree, betweenness, and closeness) and bibliometric results, this study focuses on detecting the role of women in the collaborative networks. Our results show that the presence of women in the research space is stable across time, but they tend to collaborate more than men, acting as important bridgers since 2000, and that their contribution is relevant in promoting networking. This paper invites a reflection about the policies of research and gender, as well as the positionality of women doing knowledge on education. © 2018, Springer Nature B.V.
  • Item type:Publication,
    Examining the relationship of co-authorship network centrality and gender on academic research performance: The case of chemistry researchers in Pakistan Open PDF 
    (2013)
    Badar, K.
    ;
    Hite, J.M.
    ;
    Badir, Y.F.
    This research examines the association of co-authorship network centrality (degree, closeness and betweeness) and the academic research performance of chemistry researchers in Pakistan. Higher centrality in the co-authorship network is hypothesized to be positively related to performance, in terms of academic publication, with gender having a positive moderating effect for female researchers. Using social network analysis, this study examines the bibliometric data (2002-2009) from ISI Web of Science for the co-authorship network of 2,027 Pakistani authors publishing in the field of Chemistry. A non-temporal analysis using node-level regression reports positive impact of degree and closeness and negative impact of betweeness centrality on research performance. Temporal analysis using node-level regression (time 1: 2002-2005; time 2: 2006-2009) confirms the direction of causality and demonstrates the positive association of degree and closeness centrality on research performance. Findings indicate a moderating role of gender on the relationship of both degree and closeness centrality with research performance for Pakistani female authors. © 2012 Akadémiai Kiadó, Budapest, Hungary.