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SocNetV icon

SocNetV

 5 likes

Social Network Visualizer (SocNetV) is a cross-platform, user-friendly application for the analysis and visualization of Social Networks in the form of mathematical graphs, where vertices depict actors/agents and edges represent their relations.

SocNetV screenshot 1

License model

  • FreeOpen Source

Country of Origin

  • GR flagGreece
  • European Union flagEU

Platforms

  • Mac
  • Windows
  • Linux  On Debian, SocNetV need Qt5, which is available only in the testing/unstable trees.
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Features

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  1.  Graphs
  2.  Layout

 Tags

  • social-network-visualization
  • visualization
  • graph-theory
  • graph-visualization
  • sna

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SocNetV information

  • Developed by

    GR flagDimitris Kalamaras
  • Licensing

    Open Source and Free product.
  • Alternatives

    15 alternatives listed
  • Supported Languages

    • English

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SocNetV was added to AlternativeTo by MrWint on Oct 22, 2015 and this page was last updated Oct 22, 2015.
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What is SocNetV?

Social Network Visualizer (SocNetV) is a cross-platform, user-friendly application for the analysis and visualization of Social Networks in the form of mathematical graphs, where vertices depict actors/agents and edges represent their relations.

With SocNetV you can construct social networks with a few clicks on a virtual canvas or load field data from various social network file formats such as GraphML, GraphViz, Adjacency, Pajek, UCINET, etc.

Furthermore, you can create random networks using various random models (scale-free, Erdos–Rényi, Watts-Strogatz, ring lattice, d-regular etc) or recreate famous social network analysis datasets, i.e. Padgett's Florentine families.

A simple web crawler is also included to automatically create networks from links found in a given initial URL. The crawler scans the given web page for links and visualizes the network of all webpages/sites linked from it.

SocNetV enables you to edit your social network data through point-and-click, analyse their social and mathematical properties, produce reports for these properties and apply visualization layouts for relevant presentation of each network.

It also supports multirelational loading and editing. You can load a network consisting of multiple relations or create a network on your own and add multiple relations to it.

SocNetV easily computes basic graph-theoretic properties, such as density, diameter, geodesics and distances (geodesic lengths), connectedness, eccentricity, etc. But it also computes advanced structural measures for social network analysis such as centrality and prestige indices (i.e. closeness centrality, betweeness centrality, information centrality, power centrality, proximity and pagerank prestige), triad census, clique census, clustering coefficient, etc.

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