Identification of highly influential individuals in a rural social network

Nandini Bhardwaj, Yash Seth
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Abstract

The purpose of this paper is to gain insights to improve effectiveness of an intervention. This is achieved by visualizing the flow of information through a social network constructed in order to motivate behavior change. Early adopters in this social network are identified by computing an F-score[2] for individuals, which corresponds to their influence within their communities. This influence decays with distance across the network. Thus, highly influential individuals in communities are identified. This information can potentially be used to improve the efficiency of this intervention.
识别农村社会网络中具有高度影响力的个体
本文的目的是获得见解,以提高干预的有效性。这是通过可视化的信息流通过一个社会网络来实现的,这个社会网络是为了激励行为改变而构建的。该社交网络的早期采用者通过计算个人的f分数[2]来识别,这与他们在社区中的影响力相对应。这种影响随着网络的距离而衰减。因此,确定了社区中具有高度影响力的个人。这些信息可以潜在地用于提高该干预措施的效率。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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