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

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 be analysed using social network analysis and user behaviour analysis. In this paper we provide a review of the work related...

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Main Authors:	Michael Negnevitsky, Mark Jyn-Huey Lim, Jacky Hartnett
Format:	Article
Language:	English
Published:	FRUCT 2017-04-01
Series:	Proceedings of the XXth Conference of Open Innovations Association FRUCT
Subjects:	E-mail communication Pattern recognition Pathological Behaviour Terrorist suspects
Online Access:	https://fruct.org/publications/fruct20/files/Neg.pdf

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spelling	doaj-1b33eda3ae47447694c669a38ee3e75a2020-11-24T23:26:37ZengFRUCTProceedings of the XXth Conference of Open Innovations Association FRUCT2305-72542343-07372017-04-017762032232710.23919/FRUCT.2017.8071329Analysis of E-mail communication activities for detecting patterns of pathological behaviourMichael Negnevitsky0Mark Jyn-Huey Lim1Jacky Hartnett2School of Engineering and ICT (Hobart), University of Tasmania, Hobart, Tasmania 7001, AustraliaSchool of Engineering and ICT (Hobart), University of Tasmania, Hobart, Tasmania 7001, AustraliaSchool of Engineering and ICT (Launceston), University of Tasmania, Hobart, Tasmania 7001, AustraliaE-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 be analysed 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 social networks, 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.https://fruct.org/publications/fruct20/files/Neg.pdf E-mail communicationPattern recognitionPathological BehaviourTerrorist suspects
collection	DOAJ
language	English
format	Article
sources	DOAJ
author	Michael Negnevitsky Mark Jyn-Huey Lim Jacky Hartnett
spellingShingle	Michael Negnevitsky Mark Jyn-Huey Lim Jacky Hartnett Analysis of E-mail communication activities for detecting patterns of pathological behaviour Proceedings of the XXth Conference of Open Innovations Association FRUCT E-mail communication Pattern recognition Pathological Behaviour Terrorist suspects
author_facet	Michael Negnevitsky Mark Jyn-Huey Lim Jacky Hartnett
author_sort	Michael Negnevitsky
title	Analysis of E-mail communication activities for detecting patterns of pathological behaviour
title_short	Analysis of E-mail communication activities for detecting patterns of pathological behaviour
title_full	Analysis of E-mail communication activities for detecting patterns of pathological behaviour
title_fullStr	Analysis of E-mail communication activities for detecting patterns of pathological behaviour
title_full_unstemmed	Analysis of E-mail communication activities for detecting patterns of pathological behaviour
title_sort	analysis of e-mail communication activities for detecting patterns of pathological behaviour
publisher	FRUCT
series	Proceedings of the XXth Conference of Open Innovations Association FRUCT
issn	2305-7254 2343-0737
publishDate	2017-04-01
description	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 be analysed 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 social networks, 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.
topic	E-mail communication Pattern recognition Pathological Behaviour Terrorist suspects
url	https://fruct.org/publications/fruct20/files/Neg.pdf
work_keys_str_mv	AT michaelnegnevitsky analysisofemailcommunicationactivitiesfordetectingpatternsofpathologicalbehaviour AT markjynhueylim analysisofemailcommunicationactivitiesfordetectingpatternsofpathologicalbehaviour AT jackyhartnett analysisofemailcommunicationactivitiesfordetectingpatternsofpathologicalbehaviour
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Analysis of E-mail communication activities for detecting patterns of pathological behaviour

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