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Article Navigation >  Journal of University of Electronic Science and Technology of China  > 2014  >  43(1): 21-25

KAN Jia-qian, XIE Jia-rong, ZHANG Hai-feng. Impacts of Social Reinforcement and Edge Weight on the Spreading of Information in Networks[J]. Journal of University of Electronic Science and Technology of China, 2014, 43(1): 21-25. doi: 10.3969/j.issn.1001-0548.2014.01.003
Citation: KAN Jia-qian, XIE Jia-rong, ZHANG Hai-feng. Impacts of Social Reinforcement and Edge Weight on the Spreading of Information in Networks[J]. Journal of University of Electronic Science and Technology of China, 2014, 43(1): 21-25. doi: 10.3969/j.issn.1001-0548.2014.01.003
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Impacts of Social Reinforcement and Edge Weight on the Spreading of Information in Networks

doi: 10.3969/j.issn.1001-0548.2014.01.003
  • 1.

    School of Mathematical Science,Anhui University Hefei 230601;

  • 2.

    Department of Modern Physics,University of Science and Technology of China Hefei 230026

  • Received Date: 2013-06-08
  • Rev Recd Date: 2013-10-14
  • Publish Date: 2014-02-15
  • In this paper we study the impacts of social reinforcement, edge weight, and the non-locality effect of network on information spreading. Intimacy between two nodes is defined as the number of their common neighbors, and edge weight is defined based on its intimacy. We show that when an individual has the larger tendency to accept information from close friend, the less likely a wide range of information dissemination, in other words, strong ties will reduce the range of propagation. On the contrary, when an individual has the larger tendency to accept information from estranged friend, the more likely a wide range of information dissemination, in other words, weak ties will enlarge propagation. Meanwhile, we find that when the social reinforcement strength is small, information transmission in the random networks will have wider spread range than in the regular networks. Otherwise, the result will be opposite.
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Impacts of Social Reinforcement and Edge Weight on the Spreading of Information in Networks

doi: 10.3969/j.issn.1001-0548.2014.01.003
  • 1. School of Mathematical Science,Anhui University Hefei 230601;
  • 2. Department of Modern Physics,University of Science and Technology of China Hefei 230026
  • Received Date: 2013-06-08
  • Rev Recd Date: 2013-10-14
  • Publish Date: 2014-02-15

Abstract: In this paper we study the impacts of social reinforcement, edge weight, and the non-locality effect of network on information spreading. Intimacy between two nodes is defined as the number of their common neighbors, and edge weight is defined based on its intimacy. We show that when an individual has the larger tendency to accept information from close friend, the less likely a wide range of information dissemination, in other words, strong ties will reduce the range of propagation. On the contrary, when an individual has the larger tendency to accept information from estranged friend, the more likely a wide range of information dissemination, in other words, weak ties will enlarge propagation. Meanwhile, we find that when the social reinforcement strength is small, information transmission in the random networks will have wider spread range than in the regular networks. Otherwise, the result will be opposite.

KAN Jia-qian, XIE Jia-rong, ZHANG Hai-feng. Impacts of Social Reinforcement and Edge Weight on the Spreading of Information in Networks[J]. Journal of University of Electronic Science and Technology of China, 2014, 43(1): 21-25. doi: 10.3969/j.issn.1001-0548.2014.01.003
Citation: KAN Jia-qian, XIE Jia-rong, ZHANG Hai-feng. Impacts of Social Reinforcement and Edge Weight on the Spreading of Information in Networks[J]. Journal of University of Electronic Science and Technology of China, 2014, 43(1): 21-25. doi: 10.3969/j.issn.1001-0548.2014.01.003
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