Search results
Results From The WOW.Com Content Network
This page is a list of network theory topics. Network theorems. Max flow min cut theorem; Menger's theorem; Metcalfe's law; Network properties. Centrality;
In mathematics, computer science and network science, network theory is a part of graph theory.It defines networks as graphs where the vertices or edges possess attributes. . Network theory analyses these networks over the symmetric relations or asymmetric relations between their (discrete) compone
Two well-known and much studied classes of complex networks are scale-free networks [6] and small-world networks, [7] [8] whose discovery and definition are canonical case-studies in the field. Both are characterized by specific structural features— power-law degree distributions for the former and short path lengths and high clustering for ...
Identifying core–periphery structures can help circumvent this problem by categorizing hubs as part of the network's core (Rombach et al., 2014, p. 160). Likewise, though all core nodes have high centrality measures, not all nodes with high centrality measures belong to the core.
Fig. 1: A sketch of a small network displaying community structure, with three groups of nodes with dense internal connections and sparser connections between groups.. In the study of networks, such as computer and information networks, social networks and biological networks, a number of different characteristics have been found to occur commonly, including the small-world property, heavy ...
Modularity is a measure of the structure of networks or graphs which measures the strength of division of a network into modules (also called groups, clusters or communities). Networks with high modularity have dense connections between the nodes within modules but sparse connections between nodes in different modules.
In elementary network theory, a network is represented by a graph = (,) in which is the set of nodes and the links between nodes, typically represented as a tuple of nodes ,. While this basic formalization is useful for analyzing many systems, real world networks often have added complexity in the form of multiple types of relations between ...
Dynamic network analysis (DNA) is an emergent scientific field that brings together traditional social network analysis (SNA), link analysis (LA), social simulation and multi-agent systems (MAS) within network science and network theory. Dynamic networks are a function of time (modeled as a subset of the real numbers) to a set of graphs; for ...