An Approach for Discovering Affiliation Network from XES Formatted Workflow Log

For more than a decade, process-aware knowledge discovery has received the attention of many scientists and research groups. Many algorithms, techniques, and technologies have been applied to exploit information recorded in the history of business process systems. By elucidating the information that comes from the event log, we better understand what happened in the system. In this paper, we propose an approach to discover affiliation network from the workflow enactment event log recorded in XES format. More precisely, we describe an algorithm to exploit the relationship between activities and performers in the system, represent it under the affiliation network model and conduct it on the Conformance Checking Challenge 2019 data set. By discovering the affiliation network from event log, not only we understand more about the relationship between performers and activities, but also we have an overall view of the role of performers with the operation of the system. The results of this study will contribute to the evaluation and improvement of the performance in information systems.