CENTRALITY MEASURE RANKING FOR A MULTIPLEX NETWORK

    公开(公告)号:US20200236002A1

    公开(公告)日:2020-07-23

    申请号:US16842143

    申请日:2020-04-07

    Abstract: Centrality measure ranking for a multiple network is provided by a method that includes obtaining a representation of a multiplex network having layers and nodes representing communicating entities, where at least two nodes, each being in a different layer of at least two layers of the layers, represent a communicating entity, determining, for each node of the at least two nodes, a node centrality measure, determining, for the communicating entity, an entity centrality measure as a function of the node centrality measures for the at least two nodes representing that communicating entity, and ranking the communicating entity relative to at least one other communicating entity of the plurality of communicating entities.

    CENTRALITY MEASURE RANKING FOR A MULTIPLEX NETWORK

    公开(公告)号:US20190238419A1

    公开(公告)日:2019-08-01

    申请号:US16380578

    申请日:2019-04-10

    CPC classification number: H04L41/12

    Abstract: Centrality measure ranking for a multiple network is provided by a method that includes obtaining a representation of a multiplex network including layers and nodes representing communicating entities. The method determines a node centrality measure for each node of the nodes. This includes determining intra-layer and inter-layer centrality measures. The method determines a respective centrality measure for each communicating entity as a function of node centrality measures for nodes representing the communicating entity across the layers of the multiplex network. The method also ranks the communicating entities by their centrality measures.

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