Generalized blockmodeling of binary networks
Generalized blockmodeling of binary networks (also relational blockmodeling) is an approach of 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 procludes them to be compared with values empirical blocks.[3]
When analysing the binary networks, the criterion function is measuring block inconsistencies, while also reporting the possible errors.<ref name="ReferenceA"> 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
- ^ a b c Žiberna, Aleš (2007). "Generalized Blockmodeling of Valued Networks". Social Networks. doi:10.1016/j.socnet.2006.04.002.
- ^ Doreian, Patrick; Batagelj, Vladimir; Ferligoj, Anuška (2005). Generalized Blackmodeling. Cambridge University Press. ISBN 0-521-84085-6.
- ^ Nordlund, Carl (2016). "A deviational approach to blockmodeling of valued networks". Social Networks. 44: 160–178. doi:10.1016/j.socnet.2015.08.004.