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

A Workflow-based Social Network Intelligence Discovery Algorithm


Kwang-Hoon Kim, Journal of Internet Computing and Services, Vol. 13, No. 2, pp. 73-86, Apr. 2012
10.7472/jksii.2012.13.2.73, Full Text:
Keywords: Workflow, business process, Workflow Intelligence, Social Network, Knowledge Discovery

Abstract

This paper theoretically derives an algorithm to discover a new type of social networks from workflow models, which is termed workflow-based social network intelligence. In general, workflow intelligence (or business process intelligence) technology consists of four types of techniques that discover, analyze, monitor and control, and predict from workflow models and their execution histories. So, this paper proposes an algorithm, which is termed ICN-based workflow-based social network intelligence discovery algorithm, to be classified into the type of discovery techniques, which are able to discover workflow-based social network intelligence that are formed among workflow performers through a series of workflow models and their executions, In order particularly to prove the correctness and feasibility of the proposed algorithm, this paper tries to apply the algorithm to a specific workflow model and to show that it is able to generate its corresponding workflow-based social network intelligence.


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Cite this article
[APA Style]
Kwang-Hoon Kim (2012). A Workflow-based Social Network Intelligence Discovery Algorithm. Journal of Internet Computing and Services, 13(2), 73-86. DOI: 10.7472/jksii.2012.13.2.73.

[IEEE Style]
K. Kim, "A Workflow-based Social Network Intelligence Discovery Algorithm," Journal of Internet Computing and Services, vol. 13, no. 2, pp. 73-86, 2012. DOI: 10.7472/jksii.2012.13.2.73.

[ACM Style]
Kwang-Hoon Kim. 2012. A Workflow-based Social Network Intelligence Discovery Algorithm. Journal of Internet Computing and Services, 13, 2, (2012), 73-86. DOI: 10.7472/jksii.2012.13.2.73.