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  2. Graph Modelling Language - Wikipedia

    en.wikipedia.org/wiki/Graph_Modelling_Language

    Graph-tool, a free Python module for manipulation and statistical analysis of graphs. NetworkX, an open source Python library for studying complex graphs. Tulip (software) is a free software in the domain of information visualisation capable of manipulating huge graphs (with more than 1.000.000 elements).

  3. NetworkX - Wikipedia

    en.wikipedia.org/wiki/NetworkX

    NetworkX has many network and graph analysis algorithms, aiding in a wide array of data analysis purposes. One important example of this is its various options for shortest path algorithms. The following algorithms are included in NetworkX, with time complexities given the number of vertices (V) and edges (E) in the graph: [21] Dijkstra: O((V+E ...

  4. Graph-tool - Wikipedia

    en.wikipedia.org/wiki/Graph-tool

    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. [1]

  5. GraphML - Wikipedia

    en.wikipedia.org/wiki/GraphML

    GraphML is an XML-based file format for graphs. The GraphML file format results from the joint effort of the graph drawing community to define a common format for exchanging graph structure data. It uses an XML-based syntax and supports the entire range of possible graph structure constellations including directed, undirected, mixed graphs ...

  6. Graphviz - Wikipedia

    en.wikipedia.org/wiki/Graphviz

    Graph-tool a Python library for graph manipulation and visualization. OmniGraffle version 5 and later uses the Graphviz engine, with a limited set of commands, for automatically laying out graphs. [9] Org-mode can work with DOT source code blocks. [10] PlantUML uses Graphviz to generate UML diagrams from text descriptions.

  7. Configuration model - Wikipedia

    en.wikipedia.org/wiki/Configuration_model

    The Micro-Canonical Configuration Model is the most common variation of the configuration model. It exactly preserves the degree sequence of a given graph by assigning stubs (half-edges) to nodes based on their degrees and then randomly pairing the stubs to form edges.

  8. Generalized linear array model - Wikipedia

    en.wikipedia.org/wiki/Generalized_linear_array_model

    The generalized linear array model or GLAM was introduced in 2006. [1] Such models provide a structure and a computational procedure for fitting generalized linear models or GLMs whose model matrix can be written as a Kronecker product and whose data can be written as an array. In a large GLM, the GLAM approach gives very substantial savings in ...

  9. Social network analysis software - Wikipedia

    en.wikipedia.org/wiki/Social_network_analysis...

    Python will read in almost any format data file Python has write capability for most data formats Windows, Linux, Mac Open source: Python contains several packages relevant for social network analysis: igraph is a library collection for creating and manipulating graphs and analyzing networks. It is written in C and also exists as Python and R ...