Open AccessTopic based object Influence analysis in Social networks
Author(s) -
Truong Ho Viet Phan,
Thanh Ho,
Phuc Do
Publication year - 2013
Publication title -
khoa học công nghệ
Language(s) - English
Resource type - Journals
ISSN - 1859-0128
DOI - 10.32508/stdj.v16i4.1586
Subject(s) - computer science , focus (optics) , social network analysis , object (grammar) , data science , research object , graph , information retrieval , world wide web , social media , artificial intelligence , sociology , theoretical computer science , physics , regional science , optics
In this article, we focus on researching models in social networks analysis and use them to develop the system which enables users to exactly find topics as well as necessary research of authors. In this research, we study Author – Conference – Topic (ACT) model to find out the topic relevant to users’ requirements. With each of these topics, the system will create a graph of Topical Affinity Propagation (TAP) in purpose of analyzing the topic based influence of authors. Experimental 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.