识别杰出领袖并分析他们在在线社交网络中的影响力

Amit Goyal, Francesco Bonchi, Reihaneh Rabbany Khorasgani, Lars Backstrom, Dan Huttenlocher
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引用次数: 1

摘要

人类生活被社会网络(SNs)扩散:人们相互联系、影响并被他们的对手影响。随着WWW的出现,SNs上可访问的信息量是巨大的,这使得对数据的杰出探索成为可能。社会网络分析(SNA)已经从人类学、生物学、心理学、经济学等不同领域得到了广泛的关注。在线SN网站的迅速兴起及其获得API的公开可获得数据已经使SNA研究的繁荣具体化。追踪有效用户及其影响是SNA最热门的主题之一。当代对社交网络成员之间联系的探索表明,人们通过直接联系影响间接联系。关于有影响力的用户和预测他们的能力的不可缺少的证据可以用于若干应用。本研究采用帕累托前沿函数对杰出领导者进行标记,并对其坚定不移的影响力结果进行实证分析。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Identification of prominent Leaders and analysis of their influence in online social networks
Human life is diffused by Social networks(SNs): persons interrelate, influence and are influenced by their confrères. With the advent of WWW, the amount of information accessible on SNs is gigantic, allowing the eminent exploration of data. Social network analysis(SNA) has been achieving consideration from divergent areas like anthropology, biology, psychology, economics. The swift upsurge of the online SN sites and their publicly obtainable data attaining API's has crystallized the prosperity of SNA research. Tracing potent users and their influence is one of the trendiest topics of SNA. Contemporary exploration of associations among the members of a SN reveals that people influence indirect contacts through direct ones. Indispensable evidence about the influential users and the ability to predict them may be leveraged for several applications. This research work employs Pareto front function to mark the prominent leaders which is followed by an empirical analysis of the results of their unswerving influence.
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