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An implied latent position process for doubly stochastic messaging activities
BibTeX
@MISC{Lee_animplied,
author = {Nam H. Lee and Carey E. Priebe and Minh Tang},
title = {An implied latent position process for doubly stochastic messaging activities},
year = {}
}
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Abstract
Abstract—This paper studies the problem of identifying an inhomogeneous interaction structure amongst social agents. We construct the social network by a random graph and model the messaging activities via a multi-channel self-exciting point process. We design a methodology that divides the agents into two disjoint groups so that members within each group are considered to be of similar attributes. Our methodology and algorithm are useful for investigating and detecting abnormal activities within a network. We provide numerical illustrations based on a large email dataset from Enron. Keywords- Social network; Multiple self-exciting point pro-cesses; Hypothesis testing; Risk mitigation. In this paper, we propose a model to estimate and analyze the structure of messaging activities in a social network. This is motivated by the recent proliferation of mobile
Keyphrases
stochastic messaging activity implied latent position process social network inhomogeneous interaction structure multi-channel self-exciting point process abnormal activity keywords social network random graph risk mitigation messaging activity similar attribute paper study multiple self-exciting point pro-cesses numerical illustration social agent disjoint group hypothesis testing large email dataset recent proliferation
