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Analysis of e-mail communication activities for detecting patterns of pathological behaviour

Negnevitsky, M ORCID: 0000-0002-5130-419X, Lim, MJ and Hartnett, J 2017 , 'Analysis of e-mail communication activities for detecting patterns of pathological behaviour', in Proceedings of the 20th Conference of Fruct Association , IEEE, New York, United States, pp. 322-327 , doi: 10.23919/FRUCT.2017.8071329.

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Abstract

E-mail is one of the most popular and widely used form of electronic communication used today. The patterns in the social interactions or contacts between people by e-mail can beanalysed using social network analysis and user behaviour analysis. In this paper we provide a review of the work related to the areas of dynamic modelling and link prediction of socialnetworks, and anomaly detection for detecting changes in the behaviour of e-mail usage. We then discuss about the benefits of applying artificial intelligence techniques to these fields.

Item Type: Conference Publication
Authors/Creators:Negnevitsky, M and Lim, MJ and Hartnett, J
Keywords: e-mail communication, pathological behaviour
Journal or Publication Title: Proceedings of the 20th Conference of Fruct Association
Publisher: IEEE
ISSN: 2305-7254
DOI / ID Number: 10.23919/FRUCT.2017.8071329
Copyright Information:

Copyright 2017 IEEE

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