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Journal of Social Structure
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  This is an Open Access Journal Open Access journal
ISSN (Online) 1529-1227
Published by Exeley Inc Homepage  [17 journals]
  • Using ERGMs to Disaggregate Displacement Cascades*

    • Abstract: How do civilians select internal displacement destinations during conflict' Existing research emphasizes the value of cascades as a guide to making these difficult decisions. Cascades may involve civilians following people in their social networks (community cascades), people with similar characteristics (co-ethnic cascades), or the crowd in general (herd cascades). Analyses
      PubDate: 2018-06-26
       
  • The Structure of Node and Edge Generation in a Delusional Social
           Network*

    • Abstract: A rare set of data on a changing social network of personalities, drawn by a sufferer of Multiple Personality Disorder are investigated using random graph theory. The key features guiding the patient’s production of these wholly delusional networks, features which define her “schema” of social network, are derived by fitting
      PubDate: 2018-06-26
       
  • The Structure of Collaboration Networks: An Illustration of Indian
           Economics

    • Abstract: The main aim of this study is twofold: first, to examine the underlying structure of coauthorship in Indian economics; and second, to explore the link between the participation in scientific collaborations and academic visibility. We decipher the structure of co-authorship by presenting collaboration networks of scholars who published articles in
      PubDate: 2018-03-11
       
  • The Power of Social Cognition

    • Abstract: As human beings, we understand and make sense of the social world using social cognition. Social cognitions are cognitive processes through which we understand, process, and recall our interactions with others. Most agent-based models do not account for social cognition; rather, they either provide detailed models of task-related cognition or
      PubDate: 2018-03-11
       
  • Eigenvector Centrality: Illustrations Supporting the Utility of Extracting
           More Than One Eigenvector to Obtain Additional Insights into Networks and
           Interdependent Structures

    • Abstract: Among the many centrality indices used to detect structures of actors’ positions in networks is the use of the first eigenvector of an adjacency matrix that captures the connections among the actors. This research considers the seeming pervasive current practice of using only the first eigenvector. It is shows that,
      PubDate: 2018-03-11
       
  • The Invisible Contours of Online Dating Communities: A Social Network
           Perspective

    • Abstract: This study analyzed the e-mail exchange network of participants of a national dating website. The investigation examined whether aggregated partner preferences give rise to distinct, “invisible,” clusters in online dating networks that structure dating opportunities and result in homophilous subgroups. The findings identified and visualized the ten largest network clusters
      PubDate: 2018-03-11
       
 
 
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