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Influential nodes selection to enhance data dissemination in mobile social networks: A survey
Journal of Network and Computer Applications ( IF 8.7 ) Pub Date : 2020-08-06 , DOI: 10.1016/j.jnca.2020.102768
Muluneh Mekonnen Tulu , Mbazingwa E. Mkiramweni , Ronghui Hou , Sultan Feisso , Talha Younas

Downloading of contents on mobile devices has been increasing rapidly since the introduction of mobile communication technologies. The huge traffic load presents a significant challenge to mobile network operators. Therefore, mobile social network (MSN) has been proposed to leverage cellular links by offloading mobile traffic via device-to-device communications. To do so, applying effective algorithm to identify influential spreader in MSN is of critical importance. Recently, various techniques have been proposed, each with its particular points of interest and impediments. In this paper, we provide a comprehensive survey of different techniques used to identify influential nodes in MSNs. In this regard, we discuss the advantages and disadvantages of the methods used to select initial seeds. We also review MSNs with regard to characteristics, platforms, classification, benefits, and challenges. In addition, we review data dissemination algorithms in MSNs. We then analyze and indicate the node selection complication in future networks. Finally, we outline possible future research directions and summarize the major challenges for on-going node selection in MSNs research.



中文翻译:

影响节点选择以增强移动社交网络中的数据分发:一项调查

自从引入移动通信技术以来,在移动设备上的内容下载已经迅速增加。巨大的流量负载给移动网络运营商带来了巨大的挑战。因此,已经提出了移动社交网络(MSN)来通过经由设备到设备通信卸载移动业务来利用蜂窝链路。为此,应用有效的算法来识别MSN中有影响力的扩展器至关重要。近来,已经提出了各种技术,每种技术都有其特定的兴趣点和障碍。在本文中,我们对用于识别MSN中有影响力节点的不同技术进行了全面调查。在这方面,我们讨论了用于选择初始种子的方法的优缺点。我们还会审查有关特征的MSN,平台,分类,收益和挑战。此外,我们回顾了MSN中的数据分发算法。然后,我们分析并指出未来网络中的节点选择复杂性。最后,我们概述了未来可能的研究方向,并总结了MSN研究中正在进行的节点选择的主要挑战。

更新日期:2020-08-06
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