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Song, Minseok
Business Process Intelligence(BPI) Lab
Research Interests
  • Process mining

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Mining social networks: Uncovering interaction patterns in business processes

Cited 44 times inthomson ciCited 54 times inthomson ci
Title
Mining social networks: Uncovering interaction patterns in business processes
Author
van der Aalst, W.M.P.Song, Minseok
Keywords
CENTRALITY; MODELS
Issue Date
2004
Publisher
SPRINGER-VERLAG BERLIN
Citation
BUSINESS PROCESS MANAGEMENT, v.3080, no., pp.244 - 260
Abstract
Increasingly information systems log historic information in a systematic way. Workflow management systems, but also ERP, CRM, SCM, and B2B systems often provide a so-called "event log", i.e., a log recording the execution of activities. Unfortunately, the information in these event logs is rarely used to analyze the underlying processes. Process mining aims at improving this by providing techniques and tools for discovering process, control, data, organizational, and social structures from event logs. This paper focuses on the mining social networks. This is possible because event logs typically record information about the users executing the activities recorded in the log. To do this we combine concepts from workflow management and social network analysis. This paper introduces the approach, defines metrics, and presents a tool to mine social networks from event logs.
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DOI
http://dx.doi.org/10.1007/978-3-540-25970-1_16
ISSN
0302-9743
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