%0 Journal Article %1 keyhere %A van der Aalst, Wil M. P. %A Reijers, Hajo A. %A Song, Minseok %D 2005 %J Computer Supported Cooperative Work (CSCW) %K process-mining social-networks %N 6 %P 549--593 %T Discovering Social Networks from Event Logs %U http://dx.doi.org/10.1007/s10606-005-9005-9 %V 14 %X 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-flowissues. 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 combiningconcepts from workflow management and social network analysis, it is possible to discover and analyze social networks. Thispaper defines metrics, presents a tool, and applies these to a real event log within the setting of a large Dutch organization.

@article{keyhere, abstract = {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-flowissues. 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 combiningconcepts from workflow management and social network analysis, it is possible to discover and analyze social networks. Thispaper defines metrics, presents a tool, and applies these to a real event log within the setting of a large Dutch organization.}, added-at = {2009-04-24T13:42:04.000+0200}, author = {van der Aalst, Wil M. P. and Reijers, Hajo A. and Song, Minseok}, biburl = {https://www.bibsonomy.org/bibtex/2c012055579e0443d005287eb7b1ec7e7/claudio.lucchese}, description = {SpringerLink - Journal Article}, interhash = {78cedbb5befe42fbfef34d5020d669d1}, intrahash = {c012055579e0443d005287eb7b1ec7e7}, journal = {Computer Supported Cooperative Work (CSCW)}, keywords = {process-mining social-networks}, month = {#dec#}, number = 6, pages = {549--593}, timestamp = {2009-04-24T13:42:04.000+0200}, title = {Discovering Social Networks from Event Logs}, url = {http://dx.doi.org/10.1007/s10606-005-9005-9}, volume = 14, year = 2005 }