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barrier2-12     (Miscellaneous Networks)

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This network is in the collection of Miscellaneous Networks





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Metadata

Tags
AuthorIntegrated Sys. Eng.
Date2003
Edge weightsWeighted
Metadatasubsequent semiconductor device problem
DescriptionOlaf Schenk, Univ. Basel

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

Nodes115.6K
Edges3.8M
Density0.000565775
Maximum degree16.9K
Minimum degree14
Average degree65
Assortativity-0.00425226
Number of triangles121.4M
Average number of triangles1K
Maximum number of triangles410.1K
Average clustering coefficient0.444325
Fraction of closed triangles0.281614
Maximum k-core47
Lower bound of Maximum Clique13

Data Preview

Interactive visualization of barrier2-12'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 barrier2-12 and its important node-level statistics!

  • Each point represents a node (vertex) in the graph.
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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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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.
  • Panning. Users may also click anywhere on the plot and move the mouse in any direction to pan.
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