Title :
A method for recommending administrators of QQ group
Author :
Rui Zhang ; Yongming Cai
Author_Institution :
Univ. of Jinan, Jinan, China
Abstract :
After providing the users´ information introduction and visualization service, QQ has become the most widely used immediate communication tools in China. In this paper, a new method for recommending administrators of QQ group based on community detection and the social network analysis is presented. The method is available to choose the optimum administrators of QQ group through detecting the communities in this QQ group and exploring the important nodes of the social network. In this new approach, one QQ group composed by 30 friends is employed as the research sample. Experimental results produced by using the MATLAB and UCINET software demonstrate that our method can appropriately recommend the administrators to the founder of QQ group.
Keywords :
recommender systems; social networking (online); Matlab; QQ group; UCINET software; community detection; immediate communication tools; recommending administrators; social network analysis; visualization service; Algorithm design and analysis; Big data; Communities; Educational institutions; MATLAB; Social network services; Community detection; QQ group; Social network; Social network analysis;
Conference_Titel :
Communications in China (ICCC), 2014 IEEE/CIC International Conference on
Conference_Location :
Shanghai
DOI :
10.1109/ICCChina.2014.7008294
