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Core and visualization analysis based on network of co-citation

机译:基于共引网络的核心和可视化分析

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This paper attempts to utilize social network analysis to disclose the relation structure of core journals. Journal co-citation network structure was analyzed from perspective of a social network analysis of the whole network through transforming the 29 kind management science journal's co-citation multi-value matrix into two-value matrix network. Some quantitative characteristics of the network such as density, centrality, k-core, Core-periphery structure were revealed and the results were mapping through visualization. The results concern: The journal co-citation network does not have a strong cohesion; journals can be roughly classified as four categories; there are 12 journals in the network when K-core is 5; the network can be divided into the ground at the core of 11 journals and 18 journals at the edge of the structure.
机译:本文试图利用社会网络分析来揭示核心期刊的关系结构。通过将29种管理科学期刊的多引证矩阵转化为二值矩阵网络,从整个网络的社会网络分析的角度分析了期刊共引网络结构。揭示了网络的一些定量特征,例如密度,中心度,k核,核外围结构,并通过可视化绘制结果。结果令人担忧:期刊共引网络没有很强的凝聚力;期刊大致可分为四类;当K-core为5时,网络中有12种期刊;该网络可以分为11种期刊的核心和结构边缘的18种期刊。

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