• Acta Physica Sinica
  • Vol. 69, Issue 4, 048901-1 (2020)
Zhuo-Ming Ren*
Author Affiliations
  • Research Center for Complexity Sciences, Alibaba Business School, Hangzhou Normal University, Hangzhou 311121, China
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    DOI: 10.7498/aps.69.20190830 Cite this Article
    Zhuo-Ming Ren. Node influence of the dynamic networks[J]. Acta Physica Sinica, 2020, 69(4): 048901-1 Copy Citation Text show less
    An example of the dynamic network
    Fig. 1. An example of the dynamic network
    The diagram of local to global progressive algorithm: (a) Global algorithm; (b) The local to global progressive algorithm.
    Fig. 2. The diagram of local to global progressive algorithm: (a) Global algorithm; (b) The local to global progressive algorithm.
    An example of the time-variant dynamic network: (a) A network with a period of time; (b) the time-variant dynamic network.
    Fig. 3. An example of the time-variant dynamic network: (a) A network with a period of time; (b) the time-variant dynamic network.
    The accuracy analysis of four centrality (degree, closeness, betweenness, eigenvector) methods on the scale-free network model with tunable assortative coefficient r and different infectious rate β.
    Fig. 4. The accuracy analysis of four centrality (degree, closeness, betweenness, eigenvector) methods on the scale-free network model with tunable assortative coefficient r and different infectious rate β.
    The nestedness of the adjacency matrix: (a) The nestedness of the adjacency matrix is 0; (b)the nestedness of the adjacency matrix is 0.5; (c)the nestedness of the adjacency matrix is 1.
    Fig. 5. The nestedness of the adjacency matrix: (a) The nestedness of the adjacency matrix is 0; (b)the nestedness of the adjacency matrix is 0.5; (c)the nestedness of the adjacency matrix is 1.
    Distribution of the nestedness in the international trade networks with 786 kinds of goods. (subgraphs) The matrices are representations of the different layer of world trade networks which respectively corresponds to the network of Bovine, Motorcycles, and Medical Instruments.
    Fig. 6. Distribution of the nestedness in the international trade networks with 786 kinds of goods. (subgraphs) The matrices are representations of the different layer of world trade networks which respectively corresponds to the network of Bovine, Motorcycles, and Medical Instruments.
    Zhuo-Ming Ren. Node influence of the dynamic networks[J]. Acta Physica Sinica, 2020, 69(4): 048901-1
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