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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:	https://doi.org/10.23919/FRUCT.2017.8071329
Copyright Information:	Copyright 2017 IEEE
Related URLs:	Google Scholar: Negnevitsky, M UTAS Profile: Negnevitsky, M
Item Statistics:	View statistics for this item

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