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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. 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.

  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. Comparison of data-serialization formats - Wikipedia

    en.wikipedia.org/wiki/Comparison_of_data...

    This is a comparison of data serialization formats, various ways to convert complex objects to sequences of bits. It does not include markup languages used exclusively as document file formats . Overview

  7. Serialization - Wikipedia

    en.wikipedia.org/wiki/Serialization

    Flow diagram. In computing, serialization (or serialisation, also referred to as pickling in Python) is the process of translating a data structure or object state into a format that can be stored (e.g. files in secondary storage devices, data buffers in primary storage devices) or transmitted (e.g. data streams over computer networks) and reconstructed later (possibly in a different computer ...

  8. 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.

  9. Clique percolation method - Wikipedia

    en.wikipedia.org/wiki/Clique_Percolation_Method

    The clique percolation method [1] is a popular approach for analyzing the overlapping community structure of networks.The term network community (also called a module, cluster or cohesive group) has no widely accepted unique definition and it is usually defined as a group of nodes that are more densely connected to each other than to other nodes in the network.