SoReC: A Social-Relation Based Centrality Measure in Mobile Social Networks

Bowen Li, Zhenxiang Gao, Xu Shan, Weihua Zhou, Emilio Ferrara
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引用次数: 1

Abstract

Mobile Social Networks (MSNs) have been evolving and enabling various fields in recent years. Recent advances in mobile edge computing, caching, and device-to-device communications, can have significant impacts on 5G systems. In those settings, identifying central users is crucial. It can provide important insights into designing and deploying diverse services and applications. However, it is challenging to evaluate the centrality of nodes in MSNs with dynamic environments. In this paper, we propose a Social-Relation based Centrality (SoReC) measure, in which social network information is used to quantify the influence of each user in MSNs. We first introduce a new metric to estimate direct social relations among users via direct contacts, and then extend the metric to explore indirect social relations among users bridging to their neighbors. Based on direct and indirect social relations, we detect the influence spheres of users and quantify their influence in the networks. Simulations on real-world networks show that the proposed measure can perform well in identifying future influential users in MSNs.
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移动社交网络中基于社会关系的中心性度量
近年来,移动社交网络(msn)不断发展,使各个领域成为可能。移动边缘计算、缓存和设备对设备通信的最新进展可能对5G系统产生重大影响。在这些设置中,识别中心用户至关重要。它可以为设计和部署各种服务和应用程序提供重要的见解。然而,在动态环境下,如何评估msn中节点的中心性是一个挑战。在本文中,我们提出了一种基于社会关系的中心性(SoReC)度量,其中使用社交网络信息来量化每个用户在msn中的影响。我们首先引入了一个新的度量来估计通过直接接触的用户之间的直接社会关系,然后将该度量扩展到探索连接到他们邻居的用户之间的间接社会关系。基于直接和间接的社会关系,我们检测用户的影响范围,并量化他们在网络中的影响力。在实际网络上的仿真结果表明,该方法可以很好地识别未来有影响力的msn用户。
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