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Analysing Social Networks Within Bibliographical Data

机译:分析书目数据中的社交网络

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Finding relationships between authors and thematic similar publications is getting harder and harder due to the mass of information and the rapid growth of the number of scientific workers. The io-port.net portal and the DBLP Computer Science Bibliography including more than 2,000,000 and 750,000 publications, respectively, from more than 450,000 authors are major services used by thousands of computer scientists which provides fundamental support for scientists searching for publications or other scientists in similar communities.rnIn this paper, we describe a user-friendly interface which plays the central role in searching authors and publications and analysing social networks on the basis of bibliographical data.rnAfter introducing the concept of multi-mode social networks, the DBL-Browser itself and various methods for multi-layered browsing through social networks are described.
机译:由于信息量的增加和科学工作者数量的快速增长,在作者和类似主题的出版物之间寻找关系变得越来越困难。 io-port.net门户网站和DBLP计算机科学参考书目分别包括来自250,000多个作者的2,000,000和750,000出版物,是成千上万计算机科学家使用的主要服务,为寻求出版物或其他科学家的科学家提供了基本支持。在本文中,我们描述了一个用户友好的界面,该界面在书目数据的基础上在搜索作者和出版物以及分析社交网络中起着核心作用.rn在介绍了多模式社交网络的概念之后,DBL浏览器描述了其本身以及通过社交网络进行多层浏览的各种方法。

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