Community-based measures for social capital

Christopher T Spratt, Jun Hong, Kevin McAreavey, Weiru Liu

Research output: Chapter in Book/Report/Conference proceedingConference Contribution (Conference Proceeding)

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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.

Original languageEnglish
Title of host publicationComplex Networks and Their Applications VII
Subtitle of host publicationVolume 2 Proceedings The 7th International Conference on Complex Networks and Their Applications COMPLEX NETWORKS 2018
EditorsLuca Maria Aiello, Hocine Cherifi, Pietro Lió, Luis M. Rocha, Chantal Cherifi, Renaud Lambiotte
PublisherSpringer, Cham
Number of pages12
ISBN (Electronic)9783030054144
ISBN (Print)9783030054137
Publication statusPublished - 5 Dec 2018
Event7th International Conference on Complex Networks and their Applications, COMPLEX NETWORKS 2018 - Cambridge, United Kingdom
Duration: 11 Dec 201813 Dec 2018

Publication series

NameStudies in Computational Intelligence
ISSN (Print)1860-949X


Conference7th International Conference on Complex Networks and their Applications, COMPLEX NETWORKS 2018
CountryUnited Kingdom


  • Community detection
  • Social capital
  • Social network analysis

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