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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 ]

  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. JSON streaming - Wikipedia

    en.wikipedia.org/wiki/JSON_streaming

    Line-delimited JSON works very well with traditional line-oriented tools. Concatenated JSON works with pretty-printed JSON but requires more effort and complexity to parse. It doesn't work well with traditional line-oriented tools. Concatenated JSON streaming is a superset of line-delimited JSON streaming.

  7. Social network analysis software - Wikipedia

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

    Networkx is a Python package for the creation, manipulation, and study of the structure, dynamics, and functions of complex networks; Graph-tool is a python module for efficient analysis of graphs. Its core data structures and algorithms are implemented in C++, with heavy use of Template metaprogramming, based on the Boost Graph Library.

  8. 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.

  9. Budapest Reference Connectome - Wikipedia

    en.wikipedia.org/wiki/Budapest_Reference_Connectome

    The Budapest Reference Connectome server computes the frequently appearing anatomical brain connections of 418 healthy subjects. [1] [2] It has been prepared from diffusion MRI datasets of the Human Connectome Project into a reference connectome (or brain graph), which can be downloaded in CSV and GraphML formats and visualized on the site in 3D.