On bibliographic networks

Authors: Vladimir Batagelj Monika Cerinšek

Publish Date: 2013/01/20

Volume: 96, Issue: 3, Pages: 845-864

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Abstract

In the paper we show that the bibliographic data can be transformed into a collection of compatible networks Using network multiplication different interesting derived networks can be obtained In defining them an appropriate normalization should be considered The proposed approach can be applied also to other collections of compatible networks The networks obtained from the bibliographic data bases can be large hundreds of thousands of vertices Fortunately they are sparse and can be still processed relatively fast We answer the question when the multiplication of sparse networks preserves sparseness The proposed approaches are illustrated with analyses of collection of networks on the topic social network obtained from the Web of Science The works with large number of coauthors add large complete subgraphs to standard collaboration network thus bluring the collaboration structure We show that using an appropriate normalization their effect can be neutralized Among other we propose a 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