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Linked network

From Wikipedia, the free encyclopedia

Linked network in statistics is a network, which is composed of one-node networks, where the nodes from different one-node networks are connected through two-node networks. This means, that "linked networks are collections of networks defined on different sets of nodes", where all sets of nodes must be connected to each other.[1]: 259 

Different examples of linked networks are: [1]: 259–260 [2]

  • multilevel networks,
  • dynamic networks (networks, measured at several different points in time),
  • dynamic multilevel networks, measured at several different points in time,
  • meta-networks, based on the PCANS model.

References

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  1. ^ a b Žiberna, Aleš (2018). "Chapter 10: Blockmodeling linked networks". In Doreian, Patrick; Batagelj, Vladimir; Ferligoj, Anuška (eds.). Advances in Network Clustering and Blockmodeling. John Wiley & Sons, Inc. pp. 259–280.
  2. ^ Žiberna, Aleš (2020). "k-means-based algorithm for blockmodeling linked networks". Social Networks. 61: 153–169. doi:10.1016/j.socnet.2019.10.006.

See also

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