Application of maximum influence in scientific collaboration network

Hui Li, Zhaoyi Chu, Ping Feng, Hongqiang Lv, Tan Wang, Jinhua Liu
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Abstract

As global scientific researches are witnessing rapid and high-quality development, cooperation has become the development trend in scientific research. This article models social networks, explains in detail two common propagation models, and gives the definition of the problem of maximizing influence in social networks. On the basis of which, the maximization of influence is introduced into the scientific collaboration network. It’s mainly used to describe the cooperative contribution between scientific research scholars, the scientific research innovation ability and the academic leadership ability of the cooperative team. This paper proposes a method to find authors with greatest influence in scientific collaboration network, in order to mine the deep information within the scientific collaboration network.
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最大影响力在科学合作网络中的应用
随着全球科学研究的快速、高质量发展,合作已成为科学研究的发展趋势。本文建立了社交网络模型,详细解释了两种常见的传播模型,并给出了社交网络中影响力最大化问题的定义。在此基础上,将影响力最大化引入科学协作网络。主要用来描述科研学者之间的合作贡献、科研创新能力和合作团队的学术领导能力。本文提出了一种寻找科学协作网络中影响力最大的作者的方法,以挖掘科学协作网络中的深层信息。
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