Title :
Research on Identifying the BBS Active Users with SNA
Author :
Xueyan Zhou;Jing Yang;Zehong Lin;Guijie Zhang;Yuli Liu
Author_Institution :
Coll. of Comput. Sci. &
Abstract :
BBS is an important channel of public opinion spreading, so identifying and classifying the active users will naturally become the primary goal of public opinion control. The paper provides an active users identifying algorithm, firstly the active users are extracted using the graph theory and relation matrix, and then the active users are divided into influential users and no influential ones. Then feasibility and effectiveness of the model is verified by experiments.
Keywords :
"Social network services","Algorithm design and analysis","Pediatrics","Classification algorithms","Internet","Sorting","Message systems"
Conference_Titel :
Intelligent Human-Machine Systems and Cybernetics (IHMSC), 2015 7th International Conference on
Print_ISBN :
978-1-4799-8645-3
DOI :
10.1109/IHMSC.2015.32
