Discovering Social Networks from Event Logs

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dc.contributor.authorvan der Aalst, Wil M. P.
dc.contributor.authorReijers, Hajo A.
dc.contributor.authorSong, Minseok
dc.date.accessioned2020-06-06T09:07:06Z
dc.date.available2020-06-06T09:07:06Z
dc.date.issued38687
dc.description.abstractProcess 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.de
dc.identifier.doi10.1007/s10606-005-9005-9
dc.identifier.pissn1573-7551
dc.identifier.urihttp://dx.doi.org/10.1007/s10606-005-9005-9
dc.identifier.urihttps://dl.eusset.eu/handle/20.500.12015/3673
dc.publisherSpringer
dc.relation.ispartofComputer Supported Cooperative Work (CSCW): Vol. 14, No. 6
dc.relation.ispartofseriesComputer Supported Cooperative Work (CSCW)
dc.subjectbusiness process management
dc.subjectdata mining
dc.subjectPetri nets
dc.subjectprocess mining
dc.subjectsocial network analysis
dc.subjectworkflow management
dc.titleDiscovering Social Networks from Event Logsde
dc.typeText/Journal Article
gi.citation.endPage593
gi.citation.startPage549

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JCSCW Vol. 14 (2005)