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ca-cit-HepTh     (Miscellaneous Networks)

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This network is in the collection of Miscellaneous Networks





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Metadata

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DescriptionArxiv HEP-TH (high energy physics theory) citation graph is from arXiv and covers all the citations. Edges from u to v indicate that a paper u cited another paper v. If a paper cites, or is cited by, a paper outside the dataset, the graph does not contain any information about this. The data is of the papers in the period from January 1993 to April 2003.

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}
}

Note that if you transform/preprocess this data for your own research, we ask that you please share the data by uploading it along with details on the transformation and reference to any published materials.

@inproceedings{leskovec2005graphs,
     title={Graphs over time: densification laws, shrinking diameters and possible explanations},
     author={Leskovec, Jure and Kleinberg, Jon and Faloutsos, Christos},
     booktitle={Proceedings of the eleventh ACM SIGKDD international conference on Knowledge discovery in data mining},
     pages={177--187},
     year={2005},
     organization={ACM}
}

Network Statistics

Nodes22.9K
Edges2.7M
Density0.0101881
Maximum degree12K
Minimum degree1
Average degree233
Assortativity0.0244996
Number of triangles933.6M
Average number of triangles40.8K
Maximum number of triangles5M
Average clustering coefficient0.809359
Fraction of closed triangles0.313687
Maximum k-core562
Lower bound of Maximum Clique101

Data Preview

Interactive visualization of ca-cit-HepTh'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 ca-cit-HepTh and its important node-level statistics!

  • Each point represents a node (vertex) in the graph.
  • A subset of interesting nodes may be selected and their properties may be visualized across all node-level statistics. To select a subset of nodes, hold down the left mouse button while dragging the mouse in any direction until the nodes of interest are highlighted.This feature allows users to explore and analyze various subsets of nodes and their important interesting statistics and properties to gain insights into the graph data
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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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