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Community-Based Measures for Social Capital

  • Christopher Spratt
  • Jun Hong
  • Kevin McAreavey
  • Weiru Liu
Conference paper
Part of the Studies in Computational Intelligence book series (SCI, volume 813)

Abstract

Social capital is the value that can be derived from connections between individuals in a social network. The most common forms are bonding and bridging social capital, resulting from connections with similar and diverse groups of individuals respectively. In this paper we propose a novel community-based model for measuring bonding and bridging social capital in a social network. Some previous measures of bonding and bridging capital depend on node attributes, which are often difficult to obtain. Other measures overcome this limitation by relying purely on network structure but are limited to direct connections only for bonding capital and indirect connections only for bridging capital. Our structural measures for bonding and bridging capital are independent of attributes and account for both direct and indirect connections. We experimentally validate our measures on a collaboration network extracted from DBLP, and our results show a strong correlation with standard measures of academic success.

Keywords

Social capital Community detection Social network analysis 

Notes

Acknowledgements

This work received funding from the EU’s Horizon 2020 research and innovation programme through the DEVELOP project, under grant agreement No. 688127.

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Copyright information

© Springer Nature Switzerland AG 2019

Authors and Affiliations

  • Christopher Spratt
    • 1
  • Jun Hong
    • 2
  • Kevin McAreavey
    • 1
  • Weiru Liu
    • 1
  1. 1.University of BristolBristolUK
  2. 2.University of the West of EnglandBristolUK

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