Community-Based Measures for Social Capital

Monday, 15. October 2018

By Christopher Spratt (UOB, UK), Jun Hong (UWE, UK), Kevin McAreavey (UOB, UK), and Weiru Liu (UOB, UK).

The DEVELOP project partners from the University of Bristol and the University of the West of England will be taking part in The 7th International Conference on Complex Networks and their Applications. The Complex Networks 2018 conference will be held from the 11th to the 13th of December in Cambridge, UK. 

In their paper, "Community-Based Measures for Social Capital", the authors propose a community-based model for measuring bonding and bridging social capital in a social network. Following is the paper's 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.

Read the full paper here

You are welcome to discuss the paper on Medium

To reference this paper:

Christopher Spratt, Jun Hong, Kevin McAreavey, and Weiru Liu. Community-based measures for social capital. In Proceedings of the 7th International Conference on Complex Networks and Their Applications (CN'18), to appear.