Mining Resource Community and Resource Role Network From Event Logs

This paper deals with the perspective of organization based on process mining, which concentrates on activities and performers (resources) in event logs. A classic social network only reflects how closely related any two resource individuals are. Some resources may play similar roles in the network,...

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Bibliographic Details
Published inIEEE access Vol. 6; pp. 77685 - 77694
Main Authors Ye, Jianhong, Li, Zhiwu, Yi, Ke, Al-Ahmari, Abdulrahman
Format Journal Article
LanguageEnglish
Published Piscataway IEEE 2018
The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subjects
Algorithms
Clustering algorithms
Correlation
event logs
Heuristic algorithms
Modular construction
Modularity
Organizations
Partitioning algorithms
Process mining
resource community network
resource role network
Social network services
Social networks
Task analysis
weight community network
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Summary:This paper deals with the perspective of organization based on process mining, which concentrates on activities and performers (resources) in event logs. A classic social network only reflects how closely related any two resource individuals are. Some resources may play similar roles in the network, and they can establish their own resource community. The algorithm reported in this paper constructs a resource community net with optimal modularity. Moreover, we find that there are some resources playing multiple roles in different communities, taking on different responsibilities in a system. Another algorithm is developed to discover these multi-role resources, and a corresponding resource role network is built. Finally, two examples are presented to demonstrate the proposed approach.
ISSN:2169-3536
2169-3536
DOI:10.1109/ACCESS.2018.2883774