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Systems and methods for social graph data analytics to determine connectivity within a community

机译:社交图数据分析系统和方法,用于确定社区内的连通性

摘要

Systems and methods for social graph data analytics to determine the connectivity between nodes within a community are provided. A user may assign user connectivity values to other members of the community, or connectivity values may be automatically assigned from third parties or based on the frequency of interactions between members. Connectivity values may represent such factors as alignment, reputation, status, and/or influence within a social graph of a network community, or the degree of trust. The paths connecting a first node to a second node may be retrieved, and social graph data analytics may be performed on the retrieved paths. Network connectivity values and/or other social graph data may be outputted to third-party processes and services for use in initiating automatic transactions or making automated network-based or real-world decisions.
机译:提供了用于社交图数据分析的系统和方法,以确定社区内节点之间的连接。用户可以将用户连接值分配给社区的其他成员,或者可以从第三方自动分配连接值,或者根据成员之间的交互频率自动分配连接值。连接性值可以表示网络社区的社交图中的对齐、声誉、状态和/或影响等因素,或信任度。可以检索将第一节点连接到第二节点的路径,并且可以对检索到的路径执行社交图数据分析。网络连接值和/或其他社交图数据可以输出到第三方流程和服务,用于发起自动交易或作出基于网络或真实世界的自动决策。

著录项

  • 公开/公告号US11323347B2

    专利类型

  • 公开/公告日2022-05-03

    原文格式PDF

  • 申请/专利权人 WWW.TRUSTSCIENCE.COM INC.;

    申请/专利号US202117158840

  • 发明设计人 EVAN V CHRAPKO;LEO M. CHAN;

    申请日2021-01-26

  • 分类号H04L12/26;H04L43/0811;G06Q30/02;H04L45/12;H04L67/75;H04L67/50;H04L43/065;H04L67/306;G06Q50;

  • 国家 US

  • 入库时间 2022-08-25 00:48:08

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