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 159 articles , 1 standard article )

Showing results 1 to 20 of 159.
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  1. Battaglini, M., Leone Sciabolazza, V., Patacchini, E., Peng, S: econet: An R Package for Parameter-Dependent Network Centrality Measures (2022) not zbMATH
  2. Meng, Lingqi; Masuda, Naoki: Epidemic dynamics on metapopulation networks with node2vec mobility (2022)
  3. Salemi, Hosseinali; Buchanan, Austin: Solving the distance-based critical node problem (2022)
  4. Veremyev, Alexander; Boginski, Vladimir; Pasiliao, Eduardo L.; Prokopyev, Oleg A.: On integer programming models for the maximum 2-club problem and its robust generalizations in sparse graphs (2022)
  5. Alahmadi, J.; Pranić, M.; Reichel, L.: Computation of error bounds via generalized Gauss-Radau and Gauss-Lobatto rules (2021)
  6. Alozie, Glory Uche; Arulselvan, Ashwin; Akartunalı, Kerem; Pasiliao, Eduardo L. jun.: Efficient methods for the distance-based critical node detection problem in complex networks (2021)
  7. Cugmas, Marjan; Žiberna, Aleš; Ferligoj, Anuška: The relative fit measure for evaluating a blockmodel (2021)
  8. Gillen, Colin P.; Veremyev, Alexander; Prokopyev, Oleg A.; Pasiliao, Eduardo L.: Fortification against cascade propagation under uncertainty (2021)
  9. Lee, Yan-Li; Dong, Qiang; Zhou, Tao: Link prediction via controlling the leading eigenvector (2021)
  10. Li, Dong-Yan; Huang, Peng-He; Wang, Xing-Yuan; Liu, Hao-Dong: The power function hidden in the vulnerability of fractal complex networks (2021)
  11. Tu, Dengqin; Xu, Guiqiong; Meng, Lei: GPN: a novel gravity model based on position and neighborhood to identify influential nodes in complex networks (2021)
  12. Wang, Hong-Jue; Zhang, Fang-Feng; Sun, Kai-Jia: An algorithm for locating propagation source in complex networks (2021)
  13. Zhang, Wenjun; Li, Wei; Deng, Weibing: The characteristics of cycle-nodes-ratio and its application to network classification (2021)
  14. Al Mugahwi, Mohammed; De la Cruz Cabrera, Omar; Reichel, Lothar: Orthogonal expansion of network functions (2020)
  15. Chang, Sheryl L.; Piraveenan, Mahendra; Prokopenko, Mikhail: Impact of network assortativity on epidemic and vaccination behaviour (2020)
  16. Chunaev, Petr: Community detection in node-attributed social networks: a survey (2020)
  17. Concas, A.; Noschese, S.; Reichel, L.; Rodriguez, G.: A spectral method for bipartizing a network and detecting a large anti-community (2020)
  18. Cristofari, Andrea; Rinaldi, Francesco; Tudisco, Francesco: Total variation based community detection using a nonlinear optimization approach (2020)
  19. Estrada, Ernesto: `Hubs-repelling’ Laplacian and related diffusion on graphs/networks (2020)
  20. Hahn, Ulrike; Hansen, Jens Ulrik; Olsson, Erik J.: Truth tracking performance of social networks: how connectivity and clustering can make groups less competent (2020)

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