graph-tool

{{Third-party|date=January 2021}}

{{Infobox software

| name = graph-tool

| title = Graph Tool

| logo = Graph-tool-logo.png

| screenshot =

| caption =

| collapsible =

| author =

| developer = Tiago P. Peixoto

| released =

| discontinued =

| latest release version = 2.45

| latest release date = {{Start date and age|2022|05|22|df=yes/no}}

| latest preview version =

| latest preview date =

| programming language = Python, C++

| operating system = OS X, Linux

| platform =

| size =

| language =

| status =

| genre = Software library

| license = LGPL

| website = {{URL|graph-tool.skewed.de}}

}}

graph-tool is a Python module for manipulation and statistical analysis of graphs (AKA networks). The core data structures and algorithms of graph-tool are implemented in C++, making extensive use of metaprogramming, based heavily on the Boost Graph Library.[http://graph-tool.skewed.de/performance Graph-tool performance comparison], Graph-tool Many algorithms are implemented in parallel using OpenMP, which provides increased performance on multi-core architectures.

Features

Suitability

Graph-tool can be used to work with very large graphs {{clarify|date=January 2021 |reason= Be more precise? Size of graph you can use depends strongly on context.}} in a variety of contexts, including simulation of cellular tissue,Bruno Monier et al, "Apico-basal forces exerted by apoptotic cells drive epithelium folding", Nature, 2015 [http://www.nature.com/nature/journal/vaop/ncurrent/full/nature14152.html] data mining,Ma, Shuai, et al. "Distributed graph pattern matching." Proceedings of the 21st international conference on World Wide Web. ACM, 2012. [http://dl.acm.org/citation.cfm?id=2187963]Ma, Shuai, et al. "Capturing topology in graph pattern matching." Proceedings of the VLDB Endowment 5.4 (2011): 310-321. [http://dl.acm.org/citation.cfm?id=2095690] analysis of social networks,Janssen, E., M. A. T. T. Hurshman, and N. A. U. Z. E. R. Kalyaniwalla. "Model selection for social networks using graphlets." Internet Mathematics (2012). [http://www.mathstat.dal.ca/~janssen/papers/Graphlets.pdf]Asadi, Hirad Cyrus. Design and implementation of a middleware for data analysis of social networks. Diss. M Sc thesis report, KTH School of Computer Science and Communication, Stockholm, Sweden, 2007. [http://www.student.nada.kth.se/~hias02/xjobb-en.pdf] {{Webarchive|url=https://web.archive.org/web/20150122120734/http://www.student.nada.kth.se/~hias02/xjobb-en.pdf |date=2015-01-22 }} analysis of P2P systems,Teresniak, Sven, et al. "Information-Retrieval in einem P2P-Netz mit Small-World-Eigenschaften Simulation und Evaluation des SemPIR-Modells."[http://asv.informatik.uni-leipzig.de/thesis/thesis_document/25/masterarbeit.pdf] {{Webarchive|url=https://web.archive.org/web/20150122120956/http://asv.informatik.uni-leipzig.de/thesis/thesis_document/25/masterarbeit.pdf |date=2015-01-22 }} large-scale modeling of agent-based systems,Hamacher, Kay, and Stefan Katzenbeisser. "Public security: simulations need to replace conventional wisdom." Proceedings of the 2011 workshop on New security paradigms workshop. ACM, 2011. [http://dl.acm.org/citation.cfm?id=2073288]

study of academic Genealogy trees,Miyahara, Edson Kiyohiro, Jesus P. Mena-Chalco, and Roberto M. Cesar-Jr. "Genealogia Acadêmica Lattes." [http://www.linux.ime.usp.br/~edsonkm/mac499/download/monografia.pdf]{{Dead link|date=June 2024 |bot=InternetArchiveBot |fix-attempted=yes }} theoretical assessment and modeling of network clustering,Abdo, Alexandre H., and A. P. S. de Moura. "Clustering as a measure of the local topology of networks." arXiv preprint physics/0605235 (2006). [https://arxiv.org/abs/physics/0605235] large-scale call graph analysis,Narayan, Ganesh, K. Gopinath, and V. Sridhar. "Structure and interpretation of computer programs." Theoretical Aspects of Software Engineering, 2008. TASE'08. 2nd IFIP/IEEE International Symposium on. IEEE, 2008. [https://ieeexplore.ieee.org/xpls/abs_all.jsp?arnumber=4549888] and analysis of the brain's Connectome.Gerhard, Stephan, et al. "The connectome viewer toolkit: an open source framework to manage, analyze, and visualize connectomes." Frontiers in neuroinformatics 5 (2011). [https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3112315/]

References

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