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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 |
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cf7df5cb-2bb5-4fba-aa1e-23ca7e415607.pdf | 476.72 kB | Adobe PDF | View/Open |
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