Structural analysis in multi-relational social networks

Structural analysis in multi-relational social networks

Modern social networks often consist of multiple relations among individuals. Understanding the structure of such multi-relational network is essential. In sociology, one way of structural analysis is to identify different positions and roles using blockmodels. In this paper, we generalize stochasti...

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Bibliographic Details
Main Authors: DAI, Bingtian, CHUA, Freddy, LIM, Ee Peng
Format: text
Language:English
Published: Institutional Knowledge at Singapore Management University 2012
Subjects:
Databases and Information Systems
Numerical Analysis and Scientific Computing
Online Access:https://ink.library.smu.edu.sg/sis_research/1541
https://ink.library.smu.edu.sg/context/sis_research/article/2540/viewcontent/Structural_Analysis_in_Multi_Relational_Social_Networks.pdf
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Institution: Singapore Management University
Language: English
Description
Summary:Modern social networks often consist of multiple relations among individuals. Understanding the structure of such multi-relational network is essential. In sociology, one way of structural analysis is to identify different positions and roles using blockmodels. In this paper, we generalize stochastic blockmodels to Generalized Stochastic Blockmodels (GSBM) for performing positional and role analysis on multi-relational networks. Our GSBM generalizes many different kinds of Multivariate Probability Distribution Function (MVPDF) to model different kinds of multirelational networks. In particular, we propose to use multivariate Poisson distribution for multi-relational social networks.

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