FINDING OUT THE INFLUENCE OF TOPIC BASED OBJECT ACCORDING TO SOCIAL NETWORKS

Abstract

In this research paper, the author mainly focuses on researching models in social networks analysis and then use them to develop the system which is able to allow users to search right topics as well as right research papers of other authors. In this paper, the author do research on Author – Conference –Topic model for the topic relevant to users’ requirements. With each of these topics, the system will create a graph

of Topical Affinity Propagation (TAP) with the aim to analyze the topics based influence of authors. The results on the corpus extracted from Microsoft Academic Research include 34,330 authors, 19,921 articles, 1,335 conference and 424,501 co-author relations.