• Journal of Internet Computing and Services
    ISSN 2287 - 1136 (Online) / ISSN 1598 - 0170 (Print)
    https://jics.or.kr/
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Performance Analysis of an Estimated Closeness Centrality Ranking Algorithm in Large-Scale Workflow-supported Social Networks


Jawon Kim, Hyun Ahn, Kwanghoon Kim, Journal of Internet Computing and Services, Vol. 16, No. 3, pp. 71-78, Jun. 2015
10.7472/jksii.2015.16.3.71, Full Text:
Keywords: Workflow-supported Social Network, Estimated Closeness Centrality, Ranking Algorithm

Abstract

This paper implements an estimated closeness centrality ranking algorithm in large-scale workflow-supported social networks and performance analyzes of the algorithm. Existing algorithm has a time complexity problem which is increasing performance time by network size. This problem also causes ranking process in large-scale workflow-supported social networks. To solve such problems, this paper conducts comparison analysis on the existing algorithm and estimated results by applying estimated-driven RankCCWSSN(Rank Closeness Centrality Workflow-supported Social Network). The RankCCWSSN algorithm proved its time-efficiency in a procedure about 50% decrease.


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Cite this article
[APA Style]
Kim, J., Ahn, H., & Kim, K. (2015). Performance Analysis of an Estimated Closeness Centrality Ranking Algorithm in Large-Scale Workflow-supported Social Networks. Journal of Internet Computing and Services, 16(3), 71-78. DOI: 10.7472/jksii.2015.16.3.71.

[IEEE Style]
J. Kim, H. Ahn, K. Kim, "Performance Analysis of an Estimated Closeness Centrality Ranking Algorithm in Large-Scale Workflow-supported Social Networks," Journal of Internet Computing and Services, vol. 16, no. 3, pp. 71-78, 2015. DOI: 10.7472/jksii.2015.16.3.71.

[ACM Style]
Jawon Kim, Hyun Ahn, and Kwanghoon Kim. 2015. Performance Analysis of an Estimated Closeness Centrality Ranking Algorithm in Large-Scale Workflow-supported Social Networks. Journal of Internet Computing and Services, 16, 3, (2015), 71-78. DOI: 10.7472/jksii.2015.16.3.71.