Please use this identifier to cite or link to this item: http://hdl.handle.net/1942/29332
Title: Extractie van een sociaal netwerk uit een event log
Authors: Roosen, Daan
Advisors: JANS, Mieke
Issue Date: 2019
Publisher: UHasselt
Abstract: Event logs mostly contain information about the employees in a business process, which can potentially be valuable for social network analysis. At the moment, it is not clear how to extract a social network from an event log. Some methods for different purposes have been proposed. However, it is not known to what extent the methods differ. In this work, the methods are implemented and social networks are extracted from real-life event logs. The methods are compared conceptually, on network-level and through social network analysis. These analyses show that the methods are fundamentally different. Consequently, the results of a social network analysis will depend on the choice of extraction method. To conclude, some situations are presented in which some of the extraction methods do not perform well.
Notes: master in de toegepaste economische wetenschappen: handelsingenieur in de beleidsinformatica
Document URI: http://hdl.handle.net/1942/29332
Category: T2
Type: Theses and Dissertations
Appears in Collections:Master theses

Files in This Item:
File Description SizeFormat 
cf7df5cb-2bb5-4fba-aa1e-23ca7e415607.pdf476.72 kBAdobe PDFView/Open
Show full item record

Page view(s)

36
checked on Nov 1, 2023

Download(s)

14
checked on Nov 1, 2023

Google ScholarTM

Check


Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.