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Competition Dynamics of Information Propagation on Complex Network

  

  1. 1. School of Mathematics and Systems Science, Beihang University, Beijing 100191, China;
    2. Key Laboratory of Mathematics, Informations and Behavioral Semantics, Ministry of Education of the People’s Republic of China, Beihang University, Beijing 100191, China; 
    3. School of Mathematical Sciences, Peking University, Beijing 100871, China;
    4. School of Statistics, Capital University of Economics and Business, Beijing 100070, China
  • Received:2015-11-11 Online:2016-01-22 Published:2016-01-26

Abstract: The “non-consensus” opinions pervade all patterns of human’s interactive activities. This paper studies the phenomenon of the information competition dynamics induced by messages with opposite meaning. We construct a new information competition model which could perfectly match the reality on complex networks. It is shown that the k-shell value of nodes plays an important role in reflecting its competitive power in the information competition processes, after classifying the nodes on the network with the k-shell decomposition technique. By varying the variables in the model, different cases of information competition phenomena can be successfully explained. This new information competition model should be useful to the study on network information dissemination.

Key words: information competition, k-shell decomposition, complex network

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