Discovering Social Networks from Event Logs |
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Authors: | Email author" target="_blank">Wil M P?van der AalstEmail author Hajo A?Reijers Minseok?Song |
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Affiliation: | (1) Department of Technology Management, Eindhoven University of Technology, 513, NL-5600 MB Eindhoven, The Netherlands;(2) Department of Industrial Engineering, Pohang University of Science and Technology, San 31 Hyoja-Dong, Nam-gu, Pohang, 790-784, South Korea |
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Abstract: | Process mining techniques allow for the discovery of knowledge based on so-called “event logs”, i.e., a log recording the
execution of activities in some business process. Many information systems provide such logs, e.g., most WFM, ERP, CRM, SCM,
and B2B systems record transactions in a systematic way. Process mining techniques typically focus on performance and control-flow
issues. However, event logs typically also log the performer, e.g., the person initiating or completing some activity. This paper focuses on mining social networks using this information.
For example, it is possible to build a social network based on the hand-over of work from one performer to the next. By combining
concepts from workflow management and social network analysis, it is possible to discover and analyze social networks. This
paper defines metrics, presents a tool, and applies these to a real event log within the setting of a large Dutch organization. |
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Keywords: | business process management data mining Petri nets process mining social network analysis workflow management |
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