Title :
Community structure in P2P networks
Author :
Yao, Liu ; Yong, Wang ; Lei, Yang ; Zhiguang, Qin
Author_Institution :
Coll. of Comput. Sci. & Eng., Univ. of Electron. Sci. & Technol. of China, Chengdu, China
Abstract :
Community structure is a very important property of complex networks. Detecting communities in networks is of great importance in biology, computer science, sociology and so on. In recent years, peer-to-peer (P2P) networks have gained a lot of popularity, but it is still quite difficult to acquire global statistical information. Studying community structure will help researchers use partial statistical information to estimate the global statistical information. This paper reviews some basic concepts, new progress, important algorithms and significant results in the current studies of community structure in P2P networks.
Keywords :
complex networks; peer-to-peer computing; statistical analysis; P2P networks; community detection; community structure; complex network property; global statistical information; partial statistical information; peer-to-peer networks; Clustering algorithms; Communities; Computer science; Correlation; Educational institutions; Peer to peer computing; Robots; Clustering algorithm; Community structure; Correlation; Peer-to-Peer networks;
Conference_Titel :
Robotics and Applications (ISRA), 2012 IEEE Symposium on
Conference_Location :
Kuala Lumpur
Print_ISBN :
978-1-4673-2205-8
DOI :
10.1109/ISRA.2012.6219321
