Generalized blockmodeling of valued networks is an approach of the generalized blockmodeling, dealing with valued networks (e.g., non-binary). While the...
5 KB (582 words) - 04:42, 15 January 2025
Generalized blockmodeling of binary networks (also relational blockmodeling) is an approach of generalized blockmodeling, analysing the binary network(s)...
2 KB (216 words) - 01:44, 6 January 2024
blockmodeling, generalized blockmodeling: generalized blockmodeling of binary networks, generalized blockmodeling of valued networks and generalized homogeneity...
19 KB (1,967 words) - 08:51, 11 March 2025
analysis of social structures, homogeneity blockmodeling is an approach in blockmodeling, which is best suited for a preliminary or main approach to valued networks...
2 KB (267 words) - 17:44, 6 February 2025
In generalized blockmodeling, the blockmodeling is done by "the translation of an equivalence type into a set of permitted block types", which differs...
7 KB (749 words) - 08:48, 15 July 2024
Deterministic blockmodeling is an approach in blockmodeling that does not assume a probabilistic model, and instead relies on the exact or approximate...
3 KB (285 words) - 00:18, 13 May 2024
Implicit blockmodeling is an approach in blockmodeling, similar to a valued and homogeneity blockmodeling, where initially an additional normalization...
2 KB (198 words) - 04:02, 25 March 2024
transient scale-free networks, but the degree distribution deviates from a power law as networks become very large. In studies of citations between scientific...
47 KB (6,013 words) - 05:15, 12 April 2025
Social network analysis (SNA) is the process of investigating social structures through the use of networks and graph theory. It characterizes networked structures...
58 KB (6,267 words) - 17:59, 10 April 2025
Confirmatory blockmodeling is a deductive approach in blockmodeling, where a blockmodel (or part of it) is prespecify before the analysis, and then the...
1 KB (151 words) - 20:01, 25 January 2024
for detecting community structure in networks. Biological networks, including animal brains, exhibit a high degree of modularity. However, modularity maximization...
21 KB (2,962 words) - 15:52, 21 February 2025
Centrality (category Networks)
person(s) in a social network, key infrastructure nodes in the Internet or urban networks, super-spreaders of disease, and brain networks. Centrality concepts...
47 KB (6,738 words) - 13:09, 11 March 2025
Aleš Žiberna (category Network scientists)
approach to the blockmodeling - blockmodeling linked networks. ŽIBERNA, Aleš. Generalized blockmodeling of valued networks. Social Networks. [Print ed.]...
6 KB (479 words) - 00:39, 6 January 2024
Katz centrality (category Social network analysis)
centrality in directed networks such as citation networks and the World Wide Web. Katz centrality is more suitable in the analysis of directed acyclic graphs...
13 KB (1,910 words) - 09:35, 6 April 2025
NetworkX is a Python library for studying graphs and networks. NetworkX is free software released under the BSD-new license. NetworkX began development...
32 KB (3,290 words) - 12:11, 30 April 2025
In network theory, multidimensional networks, a special type of multilayer network, are networks with multiple kinds of relations. Increasingly sophisticated...
56 KB (6,972 words) - 19:55, 12 January 2025
Hyperbolic geometric graph (redirect from Hyperbolic Geometric Network)
graphs with uniformly random node distribution (as well as generalized versions) on a disk of radius R {\displaystyle R} in H ζ 2 {\displaystyle \mathbb...
12 KB (1,655 words) - 01:11, 28 December 2024
Community structure (category Networks)
belongs to. In the study of networks, such as computer and information networks, social networks and biological networks, a number of different characteristics...
37 KB (4,591 words) - 20:57, 1 November 2024
Global cascades model (category Network theory)
also been generalized on modular networks degree-correlated networks and to networks with tunable clustering. The role of the initiators has also been studied...
8 KB (1,087 words) - 11:05, 10 February 2025
Network motifs are recurrent and statistically significant subgraphs or patterns of a larger graph. All networks, including biological networks, social...
90 KB (10,371 words) - 23:21, 28 February 2025
Patrick Doreian (category American network scientists)
Anuška Ferligoj, he introduced the generalized blockmodeling. His co-authored book Generalized blockmodeling (with Vladimir Batagelj and Anuška Ferligoj)...
6 KB (466 words) - 18:08, 13 December 2024
Random graph (redirect from Random network)
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...
15 KB (2,328 words) - 11:46, 21 March 2025
asynchronously. Boolean networks have been used in biology to model regulatory networks. Although Boolean networks are a crude simplification of genetic reality...
25 KB (2,832 words) - 15:01, 21 September 2024
{\textstyle P} is assumed to be a square number, but this can be generalized to any number of processors. Each processor then generates n P {\textstyle {\frac...
17 KB (2,603 words) - 20:37, 24 March 2025
Rich-club coefficient (category Networks)
metric on graphs and networks, designed to measure the extent to which well-connected nodes also connect to each other. Networks which have a relatively...
7 KB (935 words) - 01:47, 25 July 2024
Percolation threshold (redirect from Thresholds in networks)
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...
239 KB (15,626 words) - 12:49, 17 April 2025