Study on the Evolutionary Analysis Method of the Scientific Research Theme Based on the Semantic Association Network

文献类型： 外文期刊

第一作者： Sun, Wei

作者： Sun, Wei;Hao, Xin-ning;Zhang, Xue-fu

作者机构：

关键词： Evolution path;Evolution mode;Text clustering;Frontier science

期刊名称：2015 INTERNATIONAL CONFERENCE ON CONTROL, AUTOMATION AND ARTIFICIAL INTELLIGENCE (CAAI 2015)

ISSN：

年卷期： 2015 年

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收录情况： SCI

摘要： This paper proposed an evolutionary analysis method of the scientific research theme based on the semantic association network. At first, we introduced the semantic relation into the co-word network, and established the time-sequencing semantic association network. Secondly, we discovered the core themes of the semantic association networks in all time periods with the text clustering method based on the improved Newman fast algorithm, and drawn the thematic evolution paths, and then recognized and analyzed the thematicevolution phenomenabased on the six defined evolution patterns of scientific research theme. Finally, we predicted the frontier hotspots according to the probability of the subsequent thematic evolution patterns. The experiment based on the English core periodical literature of the hybrid rice field from 1995 to 2012 shows that this method can reveal the thematic evolution phenomena objectively and predicts frontier themes.

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