igraph

igraph is a software package for complex network analysis and graph theory, with an emphasis on efficiency, portability and ease of use. igraph can be programmed in R, Python, Mathematica and C/C++.

Keywords for this software

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References in zbMATH (referenced in 168 articles )

Showing results 1 to 20 of 168.
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  1. Arthur A. B. Pessa, Haroldo V. Ribeiro: ordpy: A Python package for data analysis with permutation entropy and ordinal network methods (2021) arXiv
  2. Artur Karczmarczyk, Jarosław Jankowski, Jarosław Wątróbski: OONIS - Object-Oriented Network Infection Simulator (2021) not zbMATH
  3. Austen Bernardi, Jessica M.J. Swanson: CycFlowDec: A Python module for decomposing flow networks using simple cycles (2021) not zbMATH
  4. Fernando Palluzzi, Mario Grassi: SEMgraph: An R Package for Causal Network Analysis of High-Throughput Data with Structural Equation Models (2021) arXiv
  5. Francis Banville; Steve Vissault; Timothée Poisot: Mangal.jl and EcologicalNetworks.jl: Two complementary packages for analyzing ecological networks in Julia (2021) not zbMATH
  6. Grömping, Ulrike: An algorithm for blocking regular fractional factorial 2-level designs with clear two-factor interactions (2021)
  7. Valeria Policastro, Dario Righelli, Annamaria Carissimo, Luisa Cutillo, Italia De Feis: ROBustness In Network (robin): an R package for Comparison and Validation of communities (2021) arXiv
  8. Zhi Zhao, Marco Banterle, Leonardo Bottolo, Sylvia Richardson, Alex Lewin, Manuela Zucknick: BayesSUR: An R package for high-dimensional multivariate Bayesian variable and covariance selection in linear regression (2021) arXiv
  9. Bazzan, Ana L. C.: I will be there for you: clique, character centrality, and community detection in \textitFriends (2020)
  10. Bonald, Thomas; de Lara, Nathan; Lutz, Quentin; Charpentier, Bertrand: Scikit-network: graph analysis in Python (2020)
  11. Diem, Christian; Pichler, Anton; Thurner, Stefan: What is the minimal systemic risk in financial exposure networks? (2020)
  12. Fernando S. Marques, José H. H. Grisi-Filho, Jean C. R. Silva, Erivânia C. Almeida, José L. Silva Júnior: hybridModels: An R Package for the Stochastic Simulation of Disease Spreading in Dynamic Networks (2020) not zbMATH
  13. Fontanella, Lara; Fontanella, Sara; Ignaccolo, Rosaria; Ippoliti, Luigi; Valentini, Pasquale: G-Lasso network analysis for functional data (2020)
  14. Granata, Ilaria; Guarracino, Mario Rosario; Maddalena, Lucia; Manipur, Ichcha: Network distances for weighted digraphs (2020)
  15. Gu, Jiaying; Zhou, Qing: Learning big Gaussian Bayesian networks: partition, estimation and fusion (2020)
  16. Haim Bar, HaiYing Wang: Reproducible Science with LaTeX (2020) arXiv
  17. Ikica, Barbara: Clustering via the modified Petford-Welsh algorithm (2020)
  18. J. Antonio Rivero Ostoic: Algebraic Analysis of Multiple Social Networks with multiplex (2020) not zbMATH
  19. John D. Boy: textnets: A Python package for text analysis with networks (2020) not zbMATH
  20. Kandanaarachchi, Sevvandi; Muñoz, Mario A.; Hyndman, Rob J.; Smith-Miles, Kate: On normalization and algorithm selection for unsupervised outlier detection (2020)

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