Title :
User Classification and Relationship Detecting on Social Network Site
Author :
Wu, Zhe ; Chen, Changjia
Author_Institution :
Sch. of Electr. & Comput. Eng., Beijing Jiaotong Univ., Beijing, China
Abstract :
Recently Social network site has been attracting researchers\´ attention world wide because of that as a newly interpersonal communication media. In this paper, a study of one Online Social Network, namely "17salsa-net" (www.17salsa.com) which is one of the biggest online social networks that providing services for salsa dancers and salsa fansin China, had been made to lay out a systematic analys is of user classification and relationship. Relationship can be detected and we lay out that the role of the user in this online social network based on their relationships. From users\´ actions on this website, they can be classified into some kinds and we can get the features of users of 17salsa-net.
Keywords :
social networking (online); user interfaces; China; online social network; social network site; user classification; user relationship detection; Algorithm design and analysis; Blogs; Clustering algorithms; Fans; Publishing; Social network services; Systematics;
Conference_Titel :
Control, Automation and Systems Engineering (CASE), 2011 International Conference on
Conference_Location :
Singapore
Print_ISBN :
978-1-4577-0859-6
DOI :
10.1109/ICCASE.2011.5997795