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Author Zhang, Dong ♦ Gatica-Perez, Daniel ♦ Roy, Deb ♦ Bengio, Samy
Source CiteSeerX
Content type Text
File Format PDF
Language English
Subject Domain (in DDC) Computer science, information & general works ♦ Data processing & computer science
Subject Keyword Topic Dynamic ♦ Individual Email User ♦ Framework Model ♦ Important Role ♦ Email User ♦ Topic-based Interaction ♦ Enron Email Corpus ♦ Semantic Content ♦ Language Model ♦ Enron Organization ♦ Email Header ♦ Email Body ♦ Email Topic Dynamic ♦ Interesting Result ♦ Email Communication ♦ Probabilistic Latent Semantic Analysis ♦ Influence Model
Description Email plays an important role as a medium for the spread of information, ideas, and influence among its users. We present a framework to learn topic-based interactions between pairs of email users, i.e., the extent to which the email topic dynamics of one user are likely to be affected by the others. The proposed framework is built on the influence model and the probabilistic latent semantic analysis (PLSA) language model. This paper makes two contributions. First, we model interactions between email users using the semantic content of email body, instead of email header. Second, our framework models not only email topic dynamics of individual email users, but also the interactions within a group of individuals. Experiments on the Enron email corpus show some interesting results that are potentially useful to discover the hierarchy of the Enron organization.
Educational Role Student ♦ Teacher
Age Range above 22 year
Educational Use Research
Education Level UG and PG ♦ Career/Technical Study
Learning Resource Type Article
Publisher Date 2006-01-01
Publisher Institution IN PROC. OF THE IEEE INTL. CONF. ON MULTIMEDIA AND EXPO