CliqueTop is a collection of matlab scripts for doing topological analysis of symmetric matrices. The syntax for using the package is: ompute_clique_topology(A) for any symmetric matrix A. Options and details can be found in the documentation for the compute_clique_topology function. CliqueTop currently relies on the following software packages, which are included in this repository for convenience and should function automatically without installation: For persistent homology computations, we make use of Perseus by Vidit Nanda. As of this writing, the current version can be found at vnanda/perseus/index.html. We recommend using the snapshot provided in this repository, as the input/output format for Perseus may change in the future. Cliquer, for the clique splitting version of the clique enumeration algorithm, a C package by Sampo Niskanen and Patric R. J. Östergård, available at pat/cliquer.html. The code was written by Chad Giusti, and the underlying ideas are the result of joint work with Vladimir Itskov and Carina Curto. The work was supported by NSF DMS-1122519. More details can be found in Giusti, Pastalkova, Curto and Itskov, ”Clique topology reveals instrinsic geometric structure in neural correlations.” (arXiv:1502.06172 [q-bio.NC] and arXiv:1502.06173 [q-bio.NC])

References in zbMATH (referenced in 29 articles , 1 standard article )

Showing results 1 to 20 of 29.
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  1. Nie, Chun-Xiao: Topological energy of the distance matrix (2022)
  2. Centeno, Eduarda Gervini Zampieri; Moreni, Giulia; Vriend, Chris; Douw, Linda; Santos, Fernando Antônio Nóbrega: A Python hands-on tutorial on network and topological neuroscience (2021)
  3. Curto, Carina; Paik, Joshua; Rivin, Igor: Betti curves of rank one symmetric matrices (2021)
  4. Kališnik, Sara; Lehn, Christian; Limic, Vlada: Geometric and probabilistic limit theorems in topological data analysis (2021)
  5. Kim, Woojin; Mémoli, Facundo: Spatiotemporal persistent homology for dynamic metric spaces (2021)
  6. Torres, Leo; Blevins, Ann S.; Bassett, Danielle; Eliassi-Rad, Tina: The why, how, and when of representations for complex systems (2021)
  7. Wang, Rui; Zhao, Rundong; Ribando-Gros, Emily; Chen, Jiahui; Tong, Yiying; Wei, Guo-Wei: HERMES: persistent spectral graph software (2021)
  8. Battiston, Federico; Cencetti, Giulia; Iacopini, Iacopo; Latora, Vito; Lucas, Maxime; Patania, Alice; Young, Jean-Gabriel; Petri, Giovanni: Networks beyond pairwise interactions: structure and dynamics (2020)
  9. Belton, Robin Lynne; Fasy, Brittany Terese; Mertz, Rostik; Micka, Samuel; Millman, David L.; Salinas, Daniel; Schenfisch, Anna; Schupbach, Jordan; Williams, Lucia: Reconstructing embedded graphs from persistence diagrams (2020)
  10. Bergomi, Mattia G.; Ferri, Massimo; Zuffi, Lorenzo: Topological graph persistence (2020)
  11. Bubenik, Peter; Hull, Michael; Patel, Dhruv; Whittle, Benjamin: Persistent homology detects curvature (2020)
  12. Grange, Pascal: Topology of the mesoscale connectome of the mouse brain (2020)
  13. Hernández Serrano, Daniel; Hernández-Serrano, Juan; Sánchez Gómez, Darío: Simplicial degree in complex networks. Applications of topological data analysis to network science (2020)
  14. Hernández Serrano, Daniel; Sánchez Gómez, Darío: Centrality measures in simplicial complexes: applications of topological data analysis to network science (2020)
  15. Jaquette, Jonathan; Schweinhart, Benjamin: Fractal dimension estimation with persistent homology: a comparative study (2020)
  16. Naitzat, Gregory; Zhitnikov, Andrey; Lim, Lek-Heng: Topology of deep neural networks (2020)
  17. Nie, Chun-Xiao: Nonlinear correlation analysis of time series based on complex network similarity (2020)
  18. Schaub, Michael T.; Benson, Austin R.; Horn, Paul; Lippner, Gabor; Jadbabaie, Ali: Random walks on simplicial complexes and the normalized Hodge 1-Laplacian (2020)
  19. Wang, Dong; Zhao, Yi; Leng, Hui; Small, Michael: A social communication model based on simplicial complexes (2020)
  20. Ding, Li; Hu, Ping: Contagion processes on time-varying networks with homophily-driven group interactions (2019)

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