在线社交网络中影响节点识别研究

Dhrubasish Sarkar, D. Kole, Premananda Jana
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引用次数: 4

摘要

随着在线社交网络(Online Social Networks, osn)的日益普及,其复杂且快速增长的结构,以及对商业、政治、医疗保健和社会的潜在影响,人们对开发高效的影响力节点识别算法产生了极大的兴趣。在成本和时间方面,不同类型的商业组织都在尝试使用社交网站来快速有效地接触目标受众。有影响的节点可以在其中发挥重要作用。本文研究了社交网络的特征、社交网络模型以及在线社交网络中影响节点识别的不同模型或方法。
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Survey of Influential Nodes Identification in Online Social Networks
The increasing popularity of Online Social Networks (OSNs), its complex and rapidly growing structure, its potential impact on business, politics, healthcare and society has led to a great deal of interest in the development of efficient influential nodes identification algorithms. Different kind of business organizations are trying to use the social networking sites to reach the target audience quickly and efficiently in terms of cost and time. The influential nodes can play an important role in it. In this paper the features of social network, models of social networks and different models or approaches used for identifying influential nodes in online social networks have been studied.
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