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rajat12     (Miscellaneous Networks)

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This network is in the collection of Miscellaneous Networks





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Metadata

Tags
AuthorRajat
Date2004
Edge weightsWeighted
Metadatacircuit simulation problem
DescriptionRajat/rajat12 circuit simulation matrix

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={http://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

Nodes1.9K
Edges11.1K
Density0.00626622
Maximum degree2.4K
Minimum degree2
Average degree11
Assortativity-0.278778
Number of triangles63.2K
Average number of triangles33
Maximum number of triangles6.1K
Average clustering coefficient0.463446
Fraction of closed triangles0.013444
Maximum k-core19
Lower bound of Maximum Clique9

Data Preview

Interactive visualization of rajat12'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 rajat12 and its important node-level statistics!

  • Each point represents a node (vertex) in the graph.
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  • Zoom in/out on the visualization you created at any point by using the buttons below on the left.
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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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coloring distribution

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coloring CDF

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coloring CCDF

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kcore distribution

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kcore CDF

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kcore CCDF

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tcore distribution

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tcore CDF

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tcore 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.
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