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Identifying influential users of a social networking service

机译:识别社交网络服务的有影响力的用户

摘要

Techniques for identifying influential users of a social networking service are provided. Influential users may be identified via an algorithm in which an influence score is assigned to each user based at least in part on other members of the community users having taken an affirmative step with respect to the user's communications. Iterative processing may be performed, with each user's influence score being determined by contributions from other users, and each contribution being determined by the contributor's influence score as of a prior iteration. A map-reduce framework may be employed, with data representing the community being partitioned into a plurality of discrete shards, a map process corresponding to each shard calculating an influence score for users represented in the shard, and reduce processes ranking users according to influence score across all shards.
机译:提供了用于识别社交网络服务的有影响力的用户的技术。可以通过算法来识别有影响力的用户,在该算法中,至少部分地基于对用户通信采取了肯定步骤的社区用户的其他成员,将影响力得分分配给每个用户。可以执行迭代处理,其中每个用户的影响力分数由其他用户的贡献确定,而每个贡献由贡献者的影响力分数确定(从先前的迭代开始)。可以使用地图减少框架,其中将表示社区的数据划分为多个离散的碎片,与每个碎片相对应的地图进程计算对该碎片中表示的用户的影响力得分,并减少根据影响力得分对用户进行排名的过程遍及所有碎片。

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