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Preferential attachment and the spreading influence of users in online social networks

机译:在线社交网络中用户的偏好依恋和传播影响

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Identifying influential users who lead to large-scale spreading in online social networks (OSNs) is of theoretical and practical significance. Many methods have been proposed to measure the influence of users, but little literature studies the interplay of the global influence of users and their local connections. In this paper, we particularly focus on the assortative and disassortative preference. The results in this paper can address three main issues in this area: (i) What is the difference in spreading influence between ordinary and core users? (ii) What is the distribution of influential users? (iii) How do they evolve from a fresh user to a powerful influencer? The k-shell hierarchy is adopted to quantify the global spreading influence of users. Firstly, we find that the global influence varies dramatically among users in disassortative OSNs, but the variation is relatively small in assortative OSNs. Hence, ordinary users also possess high influence in assortative OSNs. Secondly, we empirically and theoretically prove that the global influence of users follows a power-law distribution. Moreover, many users concentrate on the core in assortative OSNs, but few users locate at the core in disassortative OSNs. Thirdly, it is found that users in assortative OSNs gain influence over time and gradually upgrade to core members. In disassortative OSNs, the core users gain much influence along with network growth but other users scatter among all hierarchical levels. The results are verified on real OSN datasets and the state-of-the-art OSN model.
机译:识别导致在线社交网络(OSN)大规模传播的有影响力的用户具有理论和实践意义。已经提出了许多方法来衡量用户的影响力,但是很少有文献研究用户的全球影响力及其本地联系的相互作用。在本文中,我们特别关注分类和分类偏好。本文的结果可以解决该领域的三个主要问题:(i)普通用户和核心用户之间传播影响的区别是什么? (ii)有影响力的用户分布是什么? (iii)他们如何从新用户发展成为强大的影响者?采用k-shell层次结构来量化用户的全球传播影响。首先,我们发现,在各种OSN用户中,全球影响力在用户之间有很大差异,但在各种OSN中,该变化相对较小。因此,普通用户在各种OSN中也具有很高的影响力。其次,我们从经验和理论上证明了用户的全球影响力遵循幂律分布。此外,许多用户专注于各种OSN的核心,而很少有用户位于各种OSN的核心。第三,发现各种OSN中的用户会随着时间的流逝获得影响,并逐渐升级为核心成员。在分散的OSN中,核心用户随着网络的增长而获得很大的影响,但是其他用户则分散在所有层次级别中。结果在真实的OSN数据集和最新的OSN模型上得到了验证。

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