DocumentCode :
3180931
Title :
Research on the competitiveness of social network node in the context of selection
Author :
Yao, Yingpu ; Ren, Licheng
Author_Institution :
Sch. of Econ. & Manage., Taiyuan Univ. of Sci. & Technol., Taiyuan, China
fYear :
2011
fDate :
8-10 Aug. 2011
Firstpage :
2352
Lastpage :
2355
Abstract :
From the perspective of social networks,this paper makes quantitative analysis on the competitiveness of individuals in a competitive selection process. In the analysis of social network based on competitive selection, the paper uses degree centrality, betweenness centrality and social capital as the main indicators of node competitiveness. It proposes the calculation functions of competitiveness and uses the “vertical-and-horizontal” method to determine the weight coefficient. Finally, we use Markov model to predict the development trend of node competitiveness.
Keywords :
Markov processes; social networking (online); ubiquitous computing; Markov model; calculation function; competitive selection process; degree centrality; quantitative analysis; social capital; social network node competitiveness; vertical-and-horizontal method; weight coefficient; Context; Educational institutions; Humans; Markov processes; Organizations; Peer to peer computing; Social network services; Competitive Selection; Competitiveness; Markov Model; Social Network;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Artificial Intelligence, Management Science and Electronic Commerce (AIMSEC), 2011 2nd International Conference on
Conference_Location :
Deng Leng
Print_ISBN :
978-1-4577-0535-9
Type :
conf
DOI :
10.1109/AIMSEC.2011.6010967
Filename :
6010967
Link To Document :
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