Pajek for scientometrics

Batagelj, V.: Analysis of bibliographic networks. PhD course on networks, Uppsala University, November 18, 2016.

Download Pajek from Andrej's site. There is also a manual. You can also look at Pajek's mailing list.

For detailed introduction to network analysis with Pajek and description of Pajek's capabilities see the book ESNA 2. For analysis of large networks see the book Understanding ....

For transforming Web of Sciencs (WoS) data into a collection of Pajek networks you can use a program (in Python) WoS2Pajek.

Batagelj, V.: Towards temporal bibliographic networks. PEERE, Vilnius, March 7, 2017.

Software: Python library Graph; Python library TQ.

Other resources


  1. Batagelj, V., Praprotnik, S.: An algebraic approach to temporal network analysis based on temporal quantities. Social Network Analysis and Mining, 6(1), 1-22 Online, arXiv:1505.01569
  2. Cerinšek, M., Batagelj, V.: Network analysis of Zentralblatt MATH data. Scientometrics, 102(2015)1, 977-1001. arXiv
  3. Bodlaj, J, Batagelj, V: Network Analysis of Publications on Topological Indices from the Web of Science. Molecular informatics, Volume 33, Issue 8, pages 514–535, August 2014. DOI: 10.1002/minf.201400014
  4. Batagelj, V, Cerinšek, M: On bibliographic networks. Scientometrics 96 (2013) 3, 845-864. (DOI) 10.1007/s11192-012-0940-1. arXiv
  5. Kejžar, N., Korenjak-Černe, S., Batagelj, V.: Clustering of Distributions: A Case of Patent Citations, Journal of Classification (2011), Volume 28, Number 2, 156-183.
  6. Batagelj, V., Zaveršnik, M.: Fast algorithms for determining (generalized) core groups in social networks. Advances in Data Analysis and Classification, 2011. Volume 5, Number 2, 129-145. arXiv 1+arXiv 2
  7. 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, Part 3, 525-536, Springer, Berlin, 2010. preprint
  8. Batagelj, V, Zaveršnik, M: Short cycle connectivity. DISCRETE MATH 307 (3-5): 310-318 FEB 6 2007 arXiv
  9. Batagelj, V, Mrvar, A: Some analyses of Erdos collaboration graph. Social Networks 22(2000), 173-186 (669K)
  10. Batagelj, V, Mrvar, A, Zaveršnik, M: Partitioning Approach to Visualization of Large Graphs. Graph Drawing, Lecture Notes in Computer Science, 1999, Volume 1731/1999, 90-97. (preprint)

Data sets

pajek/faq/bib.txt · Last modified: 2017/03/08 15:04 by vlado
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