Linked network explained

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]

Different examples of linked networks are: ^{[1] [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.

See also

• mathematical sociology

Notes and References

1. Book: Žiberna, Aleš . 2018 . Doreian . Patrick . Batagelj . Vladimir . Ferligoj . Anuška . Advances in Network Clustering and Blockmodeling . John Wiley & Sons, Inc. . 259-280 . Chapter 10: Blockmodeling linked networks .
2. Žiberna . Aleš . 2020 . k-means-based algorithm for blockmodeling linked networks . Social Networks . 61 . 153-169 . 10.1016/j.socnet.2019.10.006. free .