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来自科学网的拓扑指数出版物的网络分析。

Network Analysis of Publications on Topological Indices from the Web of Science.

作者信息

Bodlaj Jernej, Batagelj Vladimir

机构信息

University of Ljubljana, Faculty of Computer and Information Science, Tržaška cesta 25, 1000 Ljubljana, Slovenia.

University of Primorska, Andrej Marušič Institute, Muzejski trg 2, 6000 Koper, Slovenia.

出版信息

Mol Inform. 2014 Aug;33(8):514-35. doi: 10.1002/minf.201400014. Epub 2014 Jun 13.

Abstract

In this paper we analyze a collection of bibliographic networks, constructed from the data from the Web of Science on works (papers, books, etc.) on the topic of topological indices and on relating scientific fields. We present the general outlook and more specific findings about authors, works and journals, subtopics and keywords and also important relations between them based on scientometric approaches like the strongest and main citation paths, the main themes on citation path based on keywords, results of co-authorship analysis in form of the most prominent islands of citing authors, groups of collaborating authors, two-mode cores of authors and works. We investigate the nature of citing of authors, important journals and citing of works between them, journals preferred by authors and expose hierarchy of similar collaborating authors, based on keywords they use. We perform temporal analysis on one important journal as well. We give a comprehensive scientometric insight into the field of topological indices.

摘要

在本文中,我们分析了一系列文献网络,这些网络是根据科学网(Web of Science)上关于拓扑指数主题及相关科学领域的著作(论文、书籍等)数据构建而成的。我们基于科学计量学方法,如最强和主要引用路径、基于关键词的引用路径上的主要主题、以引用作者的最突出孤岛形式呈现的合著分析结果、合作作者群体、作者与作品的双模式核心,展示了关于作者、作品和期刊、子主题和关键词的总体概况及更具体的发现,以及它们之间的重要关系。我们研究了作者的引用性质、重要期刊以及它们之间作品的引用情况、作者偏好的期刊,并根据作者使用的关键词揭示了相似合作作者的层级关系。我们还对一本重要期刊进行了时间分析。我们对拓扑指数领域进行了全面的科学计量学洞察。

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