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Open AccessArticle

An Experimental Analytics on Discovering Work Transference Networks from Workflow Enactment Event Logs

Department of Computer Science and Engineering, Kyonggi University, Suwon 16227, Gyeonggi, Korea
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Appl. Sci. 2019, 9(11), 2368; https://doi.org/10.3390/app9112368
Received: 21 May 2019 / Revised: 3 June 2019 / Accepted: 5 June 2019 / Published: 10 June 2019
(This article belongs to the Special Issue Applied Sciences Based on and Related to Computer and Control)
Work transference network is a type of enterprise social network centered on the interactions among performers participating in the workflow processes. It is thought that the work transference networks hidden in workflow enactment histories are able to denote not only the structure of the enterprise social network among performers but also imply the degrees of relevancy and intensity between them. The purpose of this paper is to devise a framework that can discover and analyze work transference networks from workflow enactment event logs. The framework includes a series of conceptual definitions to formally describe the overall procedure of the network discovery. To support this conceptual framework, we implement a system that provides functionalities for the discovery, analysis and visualization steps. As a sanity check for the framework, we carry out a mining experiment on a dataset of real-life event logs by using the implemented system. The experiment results show that the framework is valid in discovering transference networks correctly and providing primitive knowledge pertaining to the discovered networks. Finally, we expect that the analytics of the work transference network facilitates assessing the workflow fidelity in human resource planning and its observed performance, and eventually enhances the workflow process from the organizational aspect. View Full-Text
Keywords: workflow management; work transference network; workflow enactment event logs; experimental analytics workflow management; work transference network; workflow enactment event logs; experimental analytics
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Ahn, H.; Pham, D.-L.; Kim, K.P. An Experimental Analytics on Discovering Work Transference Networks from Workflow Enactment Event Logs. Appl. Sci. 2019, 9, 2368.

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