Dynamics of topic formation and quantitative analysis of hot trends in physical science

被引：3

作者：

Chumachenko, A., V ^{[1
]}

Kreminskyi, B. G. ^{[2
]}

Mosenkis, Iu L. ^{[3
]}

Yakimenko, A., I ^{[1
,2
,3
]}

机构：

[1] Taras Shevchenko Natl Univ Kyiv, Dept Phys, 64-13 Volodymyrska St, UA-01601 Kiev, Ukraine

[2] Inst Educ Content Modernizat, State Sci Inst, 36 Mytropolyta Vasylia Lypkivskogo Str, UA-03035 Kiev, Ukraine

[3] Taras Shevchenko Natl Univ Kyiv, Inst Philol, 64-13 Volodymyrska St, UA-01601 Kiev, Ukraine

来源：

SCIENTOMETRICS | 2020年 / 125卷 / 01期

基金：

瑞士国家科学基金会;

关键词：

Dynamical complex networks; Topic detection; Mutual information dynamics; Topic structure; Concept mapping; BIBLIOMETRIC ANALYSIS; CO-WORD; GALAXIES; CLUSTERS; NETWORK; INDEX;

D O I：

10.1007/s11192-020-03610-6

中图分类号：

TP39 [计算机的应用];

学科分类号：

081203 ; 0835 ;

摘要：

Successful research in the face of increasing complexity of modern scientific knowledge together with diversity and depth of the studied problems requires an understanding of the structure and evolution of trends in science. Available digital records open wide possibilities for statistical analysis of scientific publications and related metadata for topic modeling and evolution, knowledge mapping, citation indexing, etc. We investigate dynamical properties of the physical topics using analysis of temporal evolution of proximity measure for word pairs related to the mutual information. We use full-text conceptualization of content of scientific documents provided by the ScienceWISE platform for topic mapping, trend analysis and detection of hot topics together with relevant papers retrieval. We found that time evolution of relative mutual information distance reveals a hidden topic structure and could be used for quantitative analysis of current trends in scientific research.

引用

页码：739 / 753

页数：15

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