A Stochastic Workflow-Supported Organizational Social Network Model

• Published in: Proceedings of the Annual Conference of Biomedical Fuzzy Systems Association pp. 179 - 182
• Main Author: KIM, Kwanghoon Pio
• Format: Journal Article
• Language: English
• Published: Biomedical Fuzzy Systems Association 21.11.2015
• Subjects: Enterprise social network; Model-log comparisons; Probabilistic activity-to-performer bindings; Stochastic workflow model; Workflow fidelity
• ISSN: 1345-1510; 2424-2586
• DOI: 10.24466/pacbfsa.28.0_179

This paper formalizes a stochastic model for workflow-supported organizational social networks, which is graphically represented by a directed graph with holding probabilities on arcs, and which is semantically conveying a quantitative analysis of the collaborative comradeships formed through performing workflow-supported activities in an organization. The stochastic model is algorithmically discovered from the probabilistic binding relationships between activities and performers in a corresponding workflow procedure of the information control net. Through the stochastic model, it is eventually possible to analyze the degrees of collaborations as well as the progression of the collaborative comradeship dynamics. In conclusion, this paper mathematically formulates the stochastic model and describes its implications as an impeccable solution to be used in not only discovering human-centered organizational behavioral dynamics but also measuring the human-centered fidelities of workflow procedures via model-log comparisons as workflow-supported organizational knowledge.