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  2. 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 ]

  3. Graphviz - Wikipedia

    en.wikipedia.org/wiki/Graphviz

    Graphviz (short for Graph Visualization Software) is a package of open-source tools initiated by AT&T Labs Research for drawing graphs (as in nodes and edges, not as in bar charts) specified in DOT language scripts having the file name extension "gv". It also provides libraries for software applications to use the tools.

  4. Graph drawing - Wikipedia

    en.wikipedia.org/wiki/Graph_drawing

    Graph drawing is an area of mathematics and computer science combining methods from geometric graph theory and information visualization to derive two-dimensional depictions of graphs arising from applications such as social network analysis, cartography, linguistics, and bioinformatics.

  5. File:The standard web graph model.pdf - Wikipedia

    en.wikipedia.org/wiki/File:The_standard_web...

    The standard web graph model: Image title: Author: Rene Pickhardt: Software used: PowerPoint: Conversion program: Mac OS X 10.10.4 Quartz PDFContext: Encrypted: no: Page size: 842 x 595 pts (A4) Version of PDF format: 1.3

  6. Graph dynamical system - Wikipedia

    en.wikipedia.org/wiki/Graph_dynamical_system

    Depending on the context the graph can be directed or undirected. A state x v for each vertex v of Y taken from a finite set K. The system state is the n-tuple x = (x 1, x 2, ... , x n), and x[v] is the tuple consisting of the states associated to the vertices in the 1-neighborhood of v in Y (in some fixed order). A vertex function f v for each ...

  7. Graph (abstract data type) - Wikipedia

    en.wikipedia.org/wiki/Graph_(abstract_data_type)

    The basic operations provided by a graph data structure G usually include: [1] adjacent(G, x, y): tests whether there is an edge from the vertex x to the vertex y; neighbors(G, x): lists all vertices y such that there is an edge from the vertex x to the vertex y; add_vertex(G, x): adds the vertex x, if it is not there;