Title :
The interest community mining method of social network based on the weak association rules
Author :
Chen Liu ; Shan Yang ; Jiapeng Xiu ; Zhengqiu Yang
Author_Institution :
Sch. of Software Eng., Beijing Univ. of Posts & Telecommun., Beijing, China
fDate :
Oct. 30 2012-Nov. 1 2012
Abstract :
The development of Internet and the appearance of the Web2.0 have dramatically changed the communication habits of the people. The network communications based on social relationships and interests are more and more popular. It has great significance for dissemination and utilization of information to research the community structure formed by the user group who uses these communication modes. In this paper, we use a method based on the improvement of the association rules to divide the interest community on the community structure. The experimental results show that the algorithm has high accuracy and can provide the technical foundation for the better use of the social network.
Keywords :
Internet; data mining; social networking (online); social sciences computing; Internet; Web2.0; community structure; interest community mining method; social network; weak association rules; Algorithm design and analysis; Association rules; Cloud computing; Communities; Educational institutions; Social network services; Community division; Interest graph; Social network; Weak association rules;
Conference_Titel :
Cloud Computing and Intelligent Systems (CCIS), 2012 IEEE 2nd International Conference on
Conference_Location :
Hangzhou
Print_ISBN :
978-1-4673-1855-6
DOI :
10.1109/CCIS.2012.6664439
