• Journal of Internet Computing and Services
    ISSN 2287 - 1136 (Online) / ISSN 1598 - 0170 (Print)
    https://jics.or.kr/

A Betweenness Centrality Analysis Method in Valued Workflow-supported Social Networks


Mee-sun Kim, Kwang-hoon Kim, Journal of Internet Computing and Services, Vol. 17, No. 1, pp. 65-72, Feb. 2016
10.7472/jksii.2016.17.1.65, Full Text:
Keywords: Workflow Model, Workflow-supported Social Network, Valued Workflow-supported Social Network, Betweenness Centrality

Abstract

In this paper, we propose a novel analysis method and its algorithms to perform the betweenness centrality measurements on a valued and directed workflow-supported social network. The conventional workflow-supported social network model is to represent the existences of task transferring relationships among their performers by using a binary social network. However, it is necessary to consider not only the existences of task transferring relationships but also their quantities and directions in order to obtain much more effective and sophisticated analysis results. In conclusion, this paper newly defines a concept of valued and directed workflow-supported social network, and its betweenness centrality analysis method and algorithms. Especially, to verify the proposed method and algorithms, we try to apply the conventional method and the proposed method to an example workflow model respectively, and compare their betweenness centrality analysis results.


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Cite this article
[APA Style]
Kim, M. & Kim, K. (2016). A Betweenness Centrality Analysis Method in Valued Workflow-supported Social Networks. Journal of Internet Computing and Services, 17(1), 65-72. DOI: 10.7472/jksii.2016.17.1.65.

[IEEE Style]
M. Kim and K. Kim, "A Betweenness Centrality Analysis Method in Valued Workflow-supported Social Networks," Journal of Internet Computing and Services, vol. 17, no. 1, pp. 65-72, 2016. DOI: 10.7472/jksii.2016.17.1.65.

[ACM Style]
Mee-sun Kim and Kwang-hoon Kim. 2016. A Betweenness Centrality Analysis Method in Valued Workflow-supported Social Networks. Journal of Internet Computing and Services, 17, 1, (2016), 65-72. DOI: 10.7472/jksii.2016.17.1.65.