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

Discovering Temporal Work Transference Networks from Workflow Execution Logs


Dinh-Lam Pham, Hyun Ahn, Kwanghoon Pio Kim, Journal of Internet Computing and Services, Vol. 20, No. 2, pp. 101-108, Apr. 2019
10.7472/jksii.2019.20.2.101, Full Text:
Keywords: Workflow management system, work transference network, execution logs, temporal workcases

Abstract

Workflow management systems (WfMSs) automate and manage workflows, which are implementations of organizational processes operated in process-centric organizations. In this paper, wepropose an algorithm to discover temporal work transference networks from workflow execution logs. The temporal work transference network is a special type of enterprise social networks that consists of workflow performers, and relationships among them that are formed by work transferences between performers who are responsible in performing precedent and succeeding activities in a workflow process. In terms of analysis, the temporal work transference network is an analytical property that has significant value to be analyzed to discover organizational knowledge for human resource management and related decision-making steps for process-centric organizations. Also, the beginning point of implementinga human-centered workflow intelligence framework dealing with work transference networks is to develop an algorithm for discovering temporal work transference cases on workflow execution logs. To this end, we first formalize a concept of temporal work transference network, and next, we present a discovery algorithm which is for the construction of temporal work transference network from workflow execution logs. Then, as a verification of the proposed algorithm, we apply the algorithm to an XES-formatted log dataset that was released by the process mining research group and finally summarize the discovery result.


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Cite this article
[APA Style]
Dinh-Lam Pham, Hyun Ahn, & Kwanghoon Pio Kim (2019). Discovering Temporal Work Transference Networks from Workflow Execution Logs. Journal of Internet Computing and Services, 20(2), 101-108. DOI: 10.7472/jksii.2019.20.2.101.

[IEEE Style]
D. Pham, H. Ahn and K. P. Kim, "Discovering Temporal Work Transference Networks from Workflow Execution Logs," Journal of Internet Computing and Services, vol. 20, no. 2, pp. 101-108, 2019. DOI: 10.7472/jksii.2019.20.2.101.

[ACM Style]
Dinh-Lam Pham, Hyun Ahn, and Kwanghoon Pio Kim. 2019. Discovering Temporal Work Transference Networks from Workflow Execution Logs. Journal of Internet Computing and Services, 20, 2, (2019), 101-108. DOI: 10.7472/jksii.2019.20.2.101.