Individual-Level Social Capital in Weighted and Attributed Social Networks

Rajesh Sharma, Kevin McAreavey, Jun Hong, Faisal Ghaffar

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

2 Citations (Scopus)
288 Downloads (Pure)

Abstract

There is no agreed definition of social capital in the literature. However, one interpretation is that it refers to those resources embedded in an individual's social network offering benefits to that individual in relation to achieving goals and facilitating actions. This can be viewed as a resource-based interpretation of social capital aimed at the level of individuals. In this paper, we propose a family of social capital measures in line with this interpretation. Our measures are designed for a model of social networks based on weighted and attributed graphs, and cover four dimensions of social capital: (i) access to resources, (ii) access to superiors, (iii) homogeneity of ties, and (iv) heterogeneity of ties. We demonstrate the real-world application of our measures by exploring an illustrative use case in the form of a workplace social network.
Original languageEnglish
Title of host publication2018 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining (ASONAM 2018)
PublisherInstitute of Electrical and Electronics Engineers (IEEE)
Pages1032-1037
ISBN (Electronic)9781538660515
ISBN (Print)9781538660522
DOIs
Publication statusPublished - 25 Oct 2018

Publication series

Name
ISSN (Print)2473-991X
ISSN (Electronic)2473-991X

Keywords

  • social capital
  • measures
  • social network analysis

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