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Pre-processing of social network structures for fast discovery of cohesive groups

机译:社交网络结构的预处理,用于快速发现凝聚力群体

摘要

Aspects and implementations of the present disclosure are directed to methods and systems of pre-processing a social network structure for fast discovery of cohesive groups. In general, in some implementations, a data processing system identifies a cohesive user group in a social network for delivery of a tailored content item. Generally, the data processing system identifies an affinity criteria; generates a set of user identifiers having characteristics that satisfy the affinity criteria; and generates graphs of users with at least one direct or indirect social network user connection with other user identifiers in the graph. The data processing system returns or stores the graph on computer readable media for later use. A graph may be generated with edges representing connections between user identifiers; edges may be weighted for the number and lengths of connection paths for indirect connections, and for similarities between users.
机译:本公开的各方面和实施方式针对预处理社交网络结构以快速发现凝聚力组的方法和系统。通常,在一些实施方式中,数据处理系统识别社交网络中的内聚用户组以递送定制内容项。通常,数据处理系统识别亲和度标准。产生具有满足相似性标准的特征的一组用户标识符;并生成具有至少一个直接或间接社交网络用户与图中其他用户标识符的用户连接的用户图。数据处理系统将图形返回或存储在计算机可读介质上,以供以后使用。可以生成具有表示用户标识符之间的连接的边缘的图;可以为间接连接的连接路径的数量和长度以及用户之间的相似性加权边缘。

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