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Network-Data

The network data used in "Identifying influential spreaders by gravity model", "Identifying influential spreaders in complex networks by an improved gravity model", "Identifying influential spreaders by gravity model considering multi-characteristics of nodes" and "Identifying Influential Spreaders Using Local Information".

PS: All networks are transformed into undirected networks. More specifically, we only consider the largest component (contains 7066 nodes) of the WV network (contains 7115 nodes) because it is disconnected.

Data Description

  1. Jazz is a collaboration network of jazz musicians.
  2. NS is a co-authorship network of scientists working on network science.
  3. GrQc is a collaboration network of eprint articles in arXiv categories General Relativity and Quantum Cosmology.
  4. EEC describes email interchanges between institution members of a large European research institution.
  5. Email describes email interchanges between users including faculty, researchers, technicians, managers, administrators, and graduate students of the Rovira i Virgili University.
  6. PG is a snapshot of the Gnutella peer-to-peer file sharing network from August 2002.
  7. Enron is the Enron email network.
  8. PB is a network of US political blogs.
  9. Facebook describes social circles from Facebook.
  10. WV is a network of Wikipedia who-votes-on-whom.
  11. Sex is a bipartite network in which nodes are females (sex sellers) and males (sex buyers) and links between them are established when males write posts indicating sexual encounters with females.
  12. USAir is the US air transportation network.
  13. Power is the power grid of the western United States.
  14. Router is a symmetrized snapshot of the structure of the Internet at the level of autonomous systems.

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