Pajek -- analysis and visualization of large networks Pajek (spider, in Slovene) is a program package, for Windows (32 bit), for analysis and visualization of large networks (having thousands of vertices). It is freely available, for noncommercial use, at its home page:

References in zbMATH (referenced in 24 articles , 1 standard article )

Showing results 1 to 20 of 24.
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  1. Murtagh, Fionn; Kurtz, Michael J.: The classification society’s bibliography over four decades: history and content analysis (2016)
  2. Cerinšek, Monika; Batagelj, Vladimir: Network analysis of Zentralblatt MATH data (2015)
  3. Estrada, Ernesto; Arrigo, Francesca: Predicting triadic closure in networks using communicability distance functions (2015)
  4. Kajdanowicz, Tomasz: Relational classification using random walks in graphs (2015)
  5. Wiesberg, Stefan; Reinelt, Gerhard: Evaluating the quality of image matrices in blockmodeling (2015)
  6. Kulinich, A.A.: Software systems for situation analysis and decision support on the basis of cognitive maps: approaches and methods (2014)
  7. Hu, Jinyu; Gao, Zhiwei; Pan, Weisen: Multiangle social network recommendation algorithms and similarity network evaluation (2013)
  8. Yuan, Junqing; Cao, Jinde; Xia, Bila: Arresting strategy based on dynamic criminal networks changing over time (2013)
  9. Alexandridis, Kostas; Maru, Yiheyis: Collapse and reorganization patterns of social knowledge representation in evolving semantic networks (2012)
  10. Gong, Mao-Guo; Zhang, Ling-Jun; Ma, Jing-Jing; Jiao, Li-Cheng: Community detection in dynamic social networks based on multiobjective immune algorithm (2012)
  11. Batagelj, Vladimir; Zaveršnik, Matjaž: Fast algorithms for determining (generalized) core groups in social networks (2011)
  12. Oulasvirta, Antti; Lehtonen, Esko; Kurvinen, Esko; Raento, Mika: Making the ordinary visible in microblogs (2010)
  13. Zacarias, M.; Pinto, H.S.; Magalhães, R.; Tribolet, J.: A `context-aware’ and agent-centric perspective for the alignment between individuals and organizations (2010)
  14. Castellani, Brian; Hafferty, Frederic William: Sociology and complexity science. A new field of inquiry (2009)
  15. Creamer, Germán; Stolfo, Sal: A link mining algorithm for earnings forecast and trading (2009)
  16. Estrada, Ernesto; Hatano, Naomichi: Returnability in complex directed networks (digraphs) (2009)
  17. MacArthur, Ben D.; Sánchez-García, Rubén J.; Anderson, James W.: Symmetry in complex networks (2008)
  18. Restrepo, Guillermo; Brüggemann, Rainer: Dominance and separability in posets, their application to isoelectronic species with equal total nuclear charge (2008)
  19. Batagelj, V.; Zaveršnik, M.: Short cycle connectivity (2007)
  20. Oatley, Giles; Ewart, Brian; Zeleznikow, John: Decision support systems for police: Lessons from the application of data mining techniques to ”soft” forensic evidence. (2006)

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