This article provides insufficient context for those unfamiliar with the subject. Please help improve the article by providing more context for the reader. (September 2021) (Learn how and when to remove this template message)

Generalized blockmodeling of binary networks (also relational blockmodeling) is an approach of generalized blockmodeling, analysing the binary network(s).[1]

As most network analyses deal with binary networks, this approach is also considered as the fundamental approach of blockmodeling.[2]: 11  This is especially noted, as the set of ideal blocks, when used for interpretation of blockmodels, have binary link patterns, which precludes them to be compared with valued empirical blocks.[3]

When analysing the binary networks, the criterion function is measuring block inconsistencies, while also reporting the possible errors.[1] The ideal block in binary blockmodeling has only three types of conditions: "a certain cell must be (at least) 1, a certain cell must be 0 and the over each row (or column) must be at least 1".[1]

It is also used as a basis for developing the generalized blockmodeling of valued networks.[1]

References

  1. ^ a b c d Žiberna, Aleš (2007). "Generalized Blockmodeling of Valued Networks". Social Networks. 29: 105–126. arXiv:1312.0646. doi:10.1016/j.socnet.2006.04.002. S2CID 17739746.
  2. ^ Doreian, Patrick; Batagelj, Vladimir; Ferligoj, Anuška (2005). Generalized Blackmodeling. Cambridge University Press. ISBN 0-521-84085-6.
  3. ^ Nordlund, Carl (2016). "A deviational approach to blockmodeling of valued networks". Social Networks. 44: 160–178. doi:10.1016/j.socnet.2015.08.004.

See also

Category