Finding Research Communities and their Relationships by Analyzing the Co-authorship Network
Finding Research Communities and their Relationships by Analyzing the Co-authorship Network
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DOI：
10.1109/iv.2013.16
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发表时间：
2013-07
期刊：
影响因子：
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通讯作者：
Carolina Bento;Hideaki Takeda
中科院分区：
文献类型：
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作者：
Carolina Bento;Hideaki Takeda
科学合作网络的结构可以揭示科学合作的模式。我们的研究重点是开发一种在合著网络中发现社区的方法，这种方法可以揭示真实的，即，物理，科学合作的模式，通过使用两个数据集具有不同的合作范围：一个只考虑日本研究机构内的合作，从不同的研究领域，另一个包括在计算机科学领域的全球合作。
The structure of scientific co-authorship networks can reveal patterns of scientific collaboration. Our study focused on developing a methodology for community finding in co-authorship networks that could reveal the real, i.e., physical, patterns of scientific collaboration, by using two datasets with different collaboration scopes: one considering only collaborations within Japanese research institutions from different research areas, and the other comprising worldwide collaborations in the area of Computer Science.