This thesis describes the process of modeling and analysis of corporate communication through chat and telephone with data taken from the Briteback enterprise communication application. Phone communication is measured by the number and duration of calls, and chat communication by the minimum number of messages sent from one person to another. The measurements are used to calculate a communication score, different methods are tested and a version using principal component analysis is chosen. Different centrality measurements are performed on the graph model that and each tested measure is found to be useful in some way; eigenvector centrality fits the data best, PageRank is easy to understand and can be adapted for dirfferent situations, and betweenness centrality points out users in critical positions in the communication graphs. Personalized PageRank ’focused’ on users or a group of users is tested and shows potential to be of use for social network service companies in many different ways such as when ordering search results or when suggesting new members to a chat channel.
| Identifer | oai:union.ndltd.org:UPSALLA1/oai:DiVA.org:liu-152886 |
| Date | January 2018 |
| Creators | Nåbo, Henning |
| Publisher | Linköpings universitet, Programvara och system |
| Source Sets | DiVA Archive at Upsalla University |
| Language | English |
| Detected Language | English |
| Type | Student thesis, info:eu-repo/semantics/bachelorThesis, text |
| Format | application/pdf |
| Rights | info:eu-repo/semantics/openAccess |
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