Prom: Analysis of Social Network in students registration system

Abstract

The work presented in this paper applies the results from sociometry, and Social Network Analysis in particular, to an event log. The paper used various metrics in order to build a social network in terms of three types of metrics, namely as: [a] Handover of Work metric (this metric determines who passes work to whom.), [b] Working Together metric (this technique counts how frequently individuals work in the same case.), and [c] Similar Tasks metric (this technique determines who performs the same type of activities.). In addition, our aim was to evaluate the role of each individual through the registration process within a private university in Thailand. Thus, in “case study” section of the paper, we focused on the mining of organizational relations (roles) showing which relations can be derived from our event log. In other words, organization model derived from the dendogram. Ovals and the pentagons represent actors/originators and organizational entities in charge of students' registration process at university. The event log contained information about 299 cases and 569 activities. For each case, the performed tasks - in regard to students' registration process - and the moment of completion were recorded.

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