SIAM Journal on Discrete Mathematics
Who Thinks Who Knows Who? Socio-cognitive Analysis of Email Networks
ICDM '06 Proceedings of the Sixth International Conference on Data Mining
Automated social hierarchy detection through email network analysis
Proceedings of the 9th WebKDD and 1st SNA-KDD 2007 workshop on Web mining and social network analysis
Behavioral profiles for advanced email features
Proceedings of the 18th international conference on World wide web
Mining social networks for personalized email prioritization
Proceedings of the 15th ACM SIGKDD international conference on Knowledge discovery and data mining
Topic and role discovery in social networks with experiments on enron and academic email
Journal of Artificial Intelligence Research
Mining Interaction Behaviors for Email Reply Order Prediction
ASONAM '10 Proceedings of the 2010 International Conference on Advances in Social Networks Analysis and Mining
Messaging Behavior Modeling in Mobile Social Networks
SOCIALCOM '10 Proceedings of the 2010 IEEE Second International Conference on Social Computing
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In email or twitter networks, mining interaction behaviors of actors is a useful task in viral marketing or targeted advertisement. In this work, we define two interaction behaviors. One is engagingness representing the ability of soliciting active response for an initiated message. The other is responsiveness that indicates the ability of responding to an incoming message in information exchange networks. To study such behaviors, we make use of Enron email data set that are so far the only known publicly available information exchange data with messages assigned with specific senders and recipients. We also conduct data preprocessing on the email data and establish links between emails and their replies. Then, we propose quantitative behavior models for systematically measuring each user's engagingness and responsiveness scores in the email network. Further we present a graph visualization technique in order to visualize information exchange networks by means of the concept of behaviors and community structures. In our empirical study, we compare the proposed behavior models, and introduce several properties of behaviors out which we found with the Enron email data set. In addition, our visualization technique will be better able to figure out the underlying characteristics of information exchange networks based on our behavior models.