Individual-Level Social Capital in Weighted and Attributed Social Networks

Wednesday, 18. July 2018

By Rajesh Sharma, Kevin McAreavey (UOB, UK) Jun Hong (UWE, UK) and Faisal Ghaffar (IBM, Ireland)

DEVELOP partners will be taking part in the 2018 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining (ASONAM), which will be held from the 28th till 30th August 2018 in Barcelona, Spain. The paper Individual-level social capital in weighted and attributed social networks will be presented at the 9th International Workshop on Mining and Analyzing Social networks for Decision Support (MSNDS 2018). 

Read the abstract below: 

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. 

Read the full paper here

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Reference

Rajesh Sharma, Kevin McAreavey, Jun Hong, and Faisal Ghaffar. Individual-level social capital in weighted and attributed social networks. In Proceedings of the 9th International Workshop on Mining and Analyzing Social Networks for Decision Support (MSNDS'18), to appear.