Probabilistic Generative Model of Social Network Based on Web Features
Probability
2012-07-18 v1
Abstract
In this paper, we develop a dynamic framework for the modeling and analysis of social networks to work with web documents. We illustrate the model with features of web, design a form to analyze relationships of attributes as a modality of social structure, and create the optimization of generative model based on Bayes Theorem.
Keywords
Cite
@article{arxiv.1207.3894,
title = {Probabilistic Generative Model of Social Network Based on Web Features},
author = {Mahyuddin K. M. Nasution and Shahrul Azman Noah},
journal= {arXiv preprint arXiv:1207.3894},
year = {2012}
}
Comments
13 pages, International Seminar on Operational Research (InteriOR 2011): 241-250