Generalized blockmodeling of binary networks
This article provides insufficient context for those unfamiliar with the subject. (September 2021) |
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
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- ^ Lua error in Module:Citation/CS1/Configuration at line 2172: attempt to index field '?' (a nil value).
- ^ Lua error in Module:Citation/CS1/Configuration at line 2172: attempt to index field '?' (a nil value).
See also
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