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ch7-9-b4     (Miscellaneous Networks)

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This network is in the collection of Miscellaneous Networks





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Metadata

Tags
AuthorV. Welker
Date2008
Edge weightsWeighted
Metadatacombinatorial problem
DescriptionSimplicial complexes from Homology from Volkmar Welker.

Please cite the following if you use the data:

@inproceedings{nr,
     title={The Network Data Repository with Interactive Graph Analytics and Visualization},
     author={Ryan A. Rossi and Nesreen K. Ahmed},
     booktitle={AAAI},
     url={https://networkrepository.com},
     year={2015}
}

Note that if you transform/preprocess the data, please consider sharing the data by uploading it along with the details on the transformation and reference to any published materials using it.

Network Statistics

Nodes317.5K
Edges1.6M
Density-
Maximum degree20
Minimum degree1
Average degree5.0
Assortativity-
Number of triangles-
Average number of triangles-
Maximum number of triangles-
Average clustering coefficient-
Fraction of closed triangles-
Maximum k-core-
Lower bound of Maximum Clique-

Data Preview

Interactive visualization of ch7-9-b4'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 ch7-9-b4 and its important node-level statistics!

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  • We also have tools for interactively visualizing, comparing, and exploring the graph-level properties and statistics.
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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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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.
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