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abtaha2     (Miscellaneous Networks)

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This network is in the collection of Miscellaneous Networks





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Metadata

Tags
AuthorA. Jarrah
Date2008
Edge weightsWeighted
Metadatacombinatorial problem
DescriptionTaha matrix set from Abdul Salam Jarrah, New Mexico State Univ.

Citing the repository in published materials

If you find Network Repository useful for your research, please consider citing the following paper:

@inproceedings{nr,
     title={The Network Data Repository with Interactive Graph Analytics and Visualization},
     author={Ryan A. Rossi and Nesreen K. Ahmed},
     booktitle={Proceedings of the Twenty-Ninth AAAI Conference on Artificial Intelligence},
     url={http://networkrepository.com},
     year={2015}
}

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Network Statistics

Nodes37.9K
Edges137.2K
Density0.000190722
Maximum degree553
Minimum degree2
Average degree7
Assortativity-0.94797
Number of triangles3.6K
Average number of triangles0
Maximum number of triangles48
Average clustering coefficient0.00618287
Fraction of closed triangles0.000120665
Maximum k-core5
Lower bound of Maximum Clique3

Data Preview

Interactive visualization of abtaha2's graph structure

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Interactive Visualization of Node-level Properties and Statistics

Tools for Interactive Exploration of Node-level Statistics

Visualize and interactively explore abtaha2 and its important node-level statistics!

  • Each point represents a node (vertex) in the graph.
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Interactive Visualization of Node-level Feature Distributions

Node-level Feature Distributions

degree distribution

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degree CDF

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degree CCDF

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kcore distribution

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kcore CDF

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kcore CCDF

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triangle distribution

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triangle CDF

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triangle CCDF

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All visualizations and analytics are interactive and flexible for exploratory analysis and data mining in real-time and include the following features:

  • Degree, k-core, triangles, and triangle-core distributions. We include plots for each of the fundamental graph features and counts of the number with a particular property (i.e., number of nodes that form k triangles or have degree k, etc.)
  • We also include the CDF and CCDF distributions for each graph in the collection.
  • All visualizations and plots are zoomable. One may zoom-in or out on the data visualization using scrolling.
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