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  2. GraphStream - Wikipedia

    en.wikipedia.org/wiki/GraphStream

    GraphStream allows to store any kind of data attribute on the graph elements: numbers, strings, or any object. Moreover, in addition, GraphStream provides a way to handle the graph evolution in time. This means handling the way nodes and edges are added and removed, and the way data attributes may appear, disappear and evolve.

  3. Data analysis - Wikipedia

    en.wikipedia.org/wiki/Data_analysis

    ELKI – Data mining framework in Java with data mining oriented visualization functions. KNIME – The Konstanz Information Miner, a user friendly and comprehensive data analytics framework. Orange – A visual programming tool featuring interactive data visualization and methods for statistical data analysis, data mining, and machine learning.

  4. Graph (abstract data type) - Wikipedia

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

    UML class diagram of a 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;

  5. Jagged array - Wikipedia

    en.wikipedia.org/wiki/Jagged_array

    In C# and Java [5] jagged arrays can be created with the following code: [6] int [][] c ; c = new int [ 2 ][]; // creates 2 rows c [ 0 ] = new int [ 5 ]; // 5 columns for row 0 c [ 1 ] = new int [ 3 ]; // create 3 columns for row 1

  6. Code property graph - Wikipedia

    en.wikipedia.org/wiki/Code_property_graph

    In computer science, a code property graph (CPG) is a computer program representation that captures syntactic structure, control flow, and data dependencies in a property graph. The concept was originally introduced to identify security vulnerabilities in C and C++ system code, [ 1 ] but has since been employed to analyze web applications , [ 2 ...

  7. Dataflow programming - Wikipedia

    en.wikipedia.org/wiki/Dataflow_programming

    POGOL, an otherwise conventional data-processing language developed at NSA, compiled large-scale applications composed of multiple file-to-file operations, e.g. merge, select, summarize, or transform, into efficient code that eliminated the creation of or writing to intermediate files to the greatest extent possible. [11]

  8. Reachability - Wikipedia

    en.wikipedia.org/wiki/Reachability

    An even faster method for pre-processing, due to T. Kameda in 1975, [7] can be used if the graph is planar, acyclic, and also exhibits the following additional properties: all 0-indegree and all 0-outdegree vertices appear on the same face (often assumed to be the outer face), and it is possible to partition the boundary of that face into two ...

  9. Adjacency list - Wikipedia

    en.wikipedia.org/wiki/Adjacency_list

    This undirected cyclic graph can be described by the three unordered lists {b, c}, {a, c}, {a, b}. In graph theory and computer science, an adjacency list is a collection of unordered lists used to represent a finite graph. Each unordered list within an adjacency list describes the set of neighbors of a particular vertex in the graph.