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    A New Method Based on Evolutionary Algorithm for Symbolic Network Weak Unbalance

    Yirong Jiang1, Weijin Jiang2,3,4,*, Jiahui Chen2,*, Yang Wang2, Yuhui Xu2, Lina Tan2, Liang Guo5

    Journal on Internet of Things, Vol.1, No.2, pp. 41-53, 2019, DOI:10.32604/jiot.2019.07231

    Abstract The symbolic network adds the emotional information of the relationship, that is, the “+” and “-” information of the edge, which greatly enhances the modeling ability and has wide application in many fields. Weak unbalance is an important indicator to measure the network tension. This paper starts from the weak structural equilibrium theorem, and integrates the work of predecessors, and proposes the weak unbalanced algorithm EAWSB based on evolutionary algorithm. Experiments on the large symbolic networks Epinions, Slashdot and WikiElections show the effectiveness and efficiency of the proposed method. In EAWSB, this paper proposes a compression-based indirect representation method, which… More >

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