Title :
The social network analysis of political blogs in people: Based on centrality
Author :
Ya-ting, Liang ; Jing-min, Chen
Author_Institution :
Manage. Sci. & Eng., Hohai Univ., Nanjing, China
Abstract :
According to the current status and trends of the booming development of the network politics, the article uses social network analysis method to analyze the political blog community consist of the top 50 Politics blogs in People´s Daily web, uses data mining and centrality analysis to analyze the friends and network links between the 50 blogs. In order to find several key types among the political blog groups, such as the core group members, the relatively important members and members with special characteristics. The found of those members has an important significance for the further understanding of the political blog community.
Keywords :
data mining; politics; social networking (online); centrality analysis; data mining; network politics; political blog community; political blog group; social network analysis; Artificial intelligence; Blogs; Communities; Electronic mail; Gold; Indexes; Social network services; UCINETstyle; political blog; social network analysis;
Conference_Titel :
Consumer Electronics, Communications and Networks (CECNet), 2011 International Conference on
Conference_Location :
XianNing
Print_ISBN :
978-1-61284-458-9
DOI :
10.1109/CECNET.2011.5768204
