Artificial Intelligence Review

, Volume 40, Issue 1, pp 51–70

Event detection using user interaction behavior models

Article

DOI: 10.1007/s10462-011-9279-x

Cite this article as:
On, BW. Artif Intell Rev (2013) 40: 51. doi:10.1007/s10462-011-9279-x
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Abstract

In information exchange networks such as email or blog networks, most processes are carried out using exchange of messages. The behavioral analysis in such networks leads to interesting insight which would be quite valuable for organizational or social analysis. In this paper, we investigate user engagingness and responsiveness as two interaction behaviors that help us understand an email network which is one of information exchange networks. Engaging actors are those who can effectively solicit responses from other actors. Responsive actors are those who are willing to respond to other actors. By modeling such behaviors, we are able to measure them and to identify high engaging or responsive actors. We systematically propose novel behavior models to quantify the engagingness and responsiveness of actors in the Enron email network. Furthermore, as one of case studies, we study an event detection problem, based on our proposed behavior models, in the Enron emails. According to our empirical study, we found out meaningful events in Enron. For details, see Sect. 5.

Keywords

Event detection Interaction behaviors Enron emails Email threads Responsiveness 

Copyright information

© Springer Science+Business Media B.V. 2011

Authors and Affiliations

  1. 1.Advanced Digital Sciences CenterSingaporeSingapore

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