ACSPRI Conferences, RC33 Eighth International Conference on Social Science Methodology

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Analysis of large scientific networks

Vladimir Batagelj, Monika Cerinšek

Building: Law Building
Room: Breakout 11 - Law Building, Room 107
Date: 2012-07-11 03:30 PM – 05:00 PM
Last modified: 2011-12-04


From special bibliographies (BibTeX) and bibliographic services (Web of Science, Scopus, CiteSeer, Zentralblatt MATH, Google Scholar, DBLP Bibliography, and others) we can derive some two-mode networks on selected topics: works X authors, works X keywords; and from some data also the network works X classification and the one-mode citation network works X works; where works include papers, reports, books, patents etc. Besides this we get also at least the partition of works by the journal or publisher and the partition of works by the publication year. Since all the networks have the same first set (the set of works) additional networks can be derived from them using network multiplication.

We discuss the problems in preparation of these networks, different methods for their analysis (multiplication of networks, distributions, indices, generalized cores, two-mode cores, islands, clustering, citation weights, main path, temporal analysis, …), and how to visualize the obtained results (drawing of acyclic networks by layers, matrix representation of dense sub networks, Pathfinder, ...).

We illustrate the proposed approaches with an analysis of networks on the topic "social networks" derived from the data from the Web of Science.

1. Batagelj, V.: WoS2Pajek.
2. De Nooy, W., Mrvar, A., Batagelj, V.: Exploratory Social Network Analysis with Pajek; Revised and Expanded Second Edition. Structural Analysis in the Social Sciences, Cambridge University Press, September 2011.
3. Kejžar, N., Korenjak Černe, S., Batagelj, V.: Network Analysis of Works on Clustering and Classification from Web of Science. Classification as a Tool for Research. Hermann Locarek-Junge, Claus Weihs eds. Proceedings of IFCS 2009. Studies in Classification, Data Analysis, and Knowledge Organization, 525-536, Springer, Berlin, 2010.
4. Pajek’s wiki.