Abstract
Visualisation of relations between the users is an important part of business process analysis. The authors focused on behavioral graphs to represent relations between the users based on their behavior in the system. The behavior is determined by sequences of activities the users have performed. The proposed method deals with the problem of the behavioral graph complexity. This problem is solved by reduction of user profiles. Several methods were tested to determine what method is more suitable for the analysis of this type of event logs. The approach was tested on an event log recorded by a virtual company model developed as a multi-agent system MAREA.
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Acknowledgments
This work was supported by The Ministry of Education, Youth and Sports from the National Programme of Sustainability (NPU II) project ‘IT4Innovations excellence in science—LQ1602’.
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Slaninová, K., Martinovič, J., Golasowski, M. (2016). Reduction of User Profiles for Behavioral Graphs. In: Jezic, G., Chen-Burger, YH., Howlett, R., Jain, L. (eds) Agent and Multi-Agent Systems: Technology and Applications. Smart Innovation, Systems and Technologies, vol 58. Springer, Cham. https://doi.org/10.1007/978-3-319-39883-9_18
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