Mining Resource Community and Resource Role Network From Event Logs | Zendy

Jianhong Ye | Zendy; Zhiwu Li | Zendy; Ke Yi | Zendy; Abdulrahman Al-Ahmari | Zendy

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Mining Resource Community and Resource Role Network From Event Logs

Author(s) -

Jianhong Ye,

Zhiwu Li,

Ke Yi,

Abdulrahman Al-Ahmari

Publication year - 2018

Publication title -

ieee access

Language(s) - English

Resource type - Journals

SCImago Journal Rank - 0.587

H-Index - 127

ISSN - 2169-3536

DOI - 10.1109/access.2018.2883774

Subject(s) - aerospace , bioengineering , communication, networking and broadcast technologies , components, circuits, devices and systems , computing and processing , engineered materials, dielectrics and plasmas , engineering profession , fields, waves and electromagnetics , general topics for engineers , geoscience , nuclear engineering , photonics and electrooptics , power, energy and industry applications , robotics and control systems , signal processing and analysis , transportation

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.

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