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Efficient egonet computation in a weighted directed graph

机译:加权有向图中的高效Egonet计算

摘要

An embodiment of the invention pertains to a weighted directed graph comprising multiple nodes and edges that each extends between two nodes. The embodiment includes processing edges to generate a forward and reverse edge corresponding to each edge. Forward and reverse edges are processed to generate indirect edges, each comprising two edge components, and extending between two nodes. One node associated with each forward edge, each reverse edge, and each indirect edge is selected to be the key node of its associated edge. All forward, reverse and indirect edges having a particular node as their respective key nodes are placed into a group. All edges of the group are then selectively processed to provide information pertaining to an egonet of the graph that has the particular node as its egonode.
机译:本发明的实施例涉及一种加权有向图,其包括多个节点和分别在两个节点之间延伸的边。该实施例包括处理边缘以生成对应于每个边缘的前向和反向边缘。处理正向和反向边缘以生成间接边缘,每个间接边缘包括两个边缘分量,并在两个节点之间延伸。与每个前向边缘,每个反向边缘和每个间接边缘关联的一个节点被选择为其关联边缘的关键节点。将具有特定节点作为其各自关键节点的所有正向,反向和间接边缘放入一个组中。然后,有选择地处理组的所有边缘,以提供与以特定节点为其自我节点的图的自我网络有关的信息。

著录项

  • 公开/公告号US8694979B2

    专利类型

  • 公开/公告日2014-04-08

    原文格式PDF

  • 申请/专利权人 MARCEL C. ROSU;HANGHANG TONG;

    申请/专利号US201213533697

  • 发明设计人 HANGHANG TONG;MARCEL C. ROSU;

    申请日2012-06-26

  • 分类号G06F9/45;

  • 国家 US

  • 入库时间 2022-08-21 15:59:19

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