Probabilistic Generative Model of Social Network Based on Web Features

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.