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Dynamic Networks

Temporal Networks

Download temporal network datasets.
Dynamic network data (temporal network data) typically consists of a sequence of edges with timestamps. Such temporal networks are sometimes called edge or graph streams.

Multi-level Graph Visualization: From Global to Local Graph Properties

Select a network below for a multi-level graph visualization that leverages both local and global graph properties, as well as additional features and tools including:
  • interactive network visualizations,
  • global network statistics,
  • local node-level network stats & features, and
  • interactive visualizations of the important network distributions.

Note: Networks may also be sorted by the statistics.

Global Network Statistics

Summary of notation.
|V|
Number of nodes
|E|
Number of edges
dmax
Maximum degree
davg
Average degree
r
Assort. Coeff.
|T|
Number of triangles (3-clique)
|T|avg
Average triangles formed by a edge
|T|max
Maximum number of triangles formed by a edge
κavg
Average local clustering coefficient
κ
Global clustering coefficient
Kmax
Maximum k-core number
ωlb
Lower bound on the size of the maximum clique

Citation and acknowledgement policy

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}
  }



Acknowledgement & Citation Policy

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}
}