Measuring Influence and Impact by Complex Network

Abstract:

This paper built two kinds of networks:co-author network and competition network and set up a system of influence measurement to determine who is most influential in the network.To evaluate the influence of co-authors, this paper introduced three norms: degree centrality, closeness centrality and betweenness centrality. Then, entropy value method was applied to get the relative weight of norms and establish co-author influence measurement model by the weighted sum of the three norms as influence marks. Meanwhile, the number of times players competed with each other among 10 tennis players in nearly 20 years was chosen to build our network. Because same as the co-author network, the competition network is undirected, we employ same algorithm to rank tennis players and analyze the first three players' competition relationship.

• Periodical: Applied Mechanics and Materials (Volume 551)
• Pages: 359-364
• DOI: https://doi.org/10.4028/www.scientific.net/AMM.551.359
• Online since: May 2014
• Authors: Zheng Chang Zhang
• Keywords: Complex, Entropy-Weight-Methodcentrality, Network

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