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

Generalized blockmodeling of valued networks is an approach of the generalized blockmodeling, dealing with valued networks (e.g., non-binary). While the...

blockmodeling, generalized blockmodeling: generalized blockmodeling of binary networks, generalized blockmodeling of valued networks and generalized homogeneity...

In generalized blockmodeling, the blockmodeling is done by "the translation of an equivalence type into a set of permitted block types", which differs...

blockmodels of multiway, multimode matrices". Social Networks. 14: 91–120. Generalized blockmodeling of binary networks implicit blockmodeling blockmodeling linked...

Semantic networks are used in natural language processing applications such as semantic parsing and word-sense disambiguation. Semantic networks can also...

for detecting community structure in networks. Biological networks, including animal brains, exhibit a high degree of modularity. However, modularity maximization...

asynchronously. Boolean networks have been used in biology to model regulatory networks. Although Boolean networks are a crude simplification of genetic reality...

person(s) in a social network, key infrastructure nodes in the Internet or urban networks, super-spreaders of disease, and brain networks. Centrality concepts...

Network motifs are recurrent and statistically significant subgraphs or patterns of a larger graph. All networks, including biological networks, social...

models of random systems or networks (graphs), and the nature of the connectivity in them. The percolation threshold is the critical value of the occupation...

questions about the properties of typical graphs. Its practical applications are found in all areas in which complex networks need to be modeled – many random...