Title :
Complexity Research of Massively Microblogging Based on Human Behaviors
Author :
Kang, Shulong ; Zhang, Chuang ; Lin, Zhiqing ; Shi, Xueming ; Ma, He
Author_Institution :
Pattern Recognition & Intell. Syst. Lab. (PRJS), Beijing Univ. of Posts & Telecommun., Beijing, China
Abstract :
Microblogging is one of the most popular on-line social services by which people can share information and communicate with others. In the paper, it is proved that in a microblogging´s social network, there exists small-world, scale-free and high clustering coefficient characteristics, which are three main properties of complex network. It means that microblogging´s social network is a complex network. Besides, it is verified that the number of microblogs and the frequency of posting microblogs follow power-law distributions, which is an evidence that shows human dynamics are non-Poissonian. The related geographical property analysis of microblogging´s social network illustrates the reason of users´ geographical distribution.
Keywords :
behavioural sciences computing; social networking (online); clustering coefficient characteristics; complexity research; geographical property analysis; human behaviors; human dynamics; information share; microblogging; on-line social services; power-law distributions; social network; users´ geographical distribution; Complex networks; Crawlers; Humans; Internet; Mobile handsets; Social network services; Web pages;
Conference_Titel :
Database Technology and Applications (DBTA), 2010 2nd International Workshop on
Conference_Location :
Wuhan
Print_ISBN :
978-1-4244-6975-8
Electronic_ISBN :
978-1-4244-6977-2
DOI :
10.1109/DBTA.2010.5658996