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  2. Community structure - Wikipedia

    en.wikipedia.org/wiki/Community_structure

    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 ...

  3. Hierarchical network model - Wikipedia

    en.wikipedia.org/wiki/Hierarchical_network_model

    The hierarchical network model is part of the scale-free model family sharing their main property of having proportionally more hubs among the nodes than by random generation; however, it significantly differs from the other similar models (Barabási–Albert, Watts–Strogatz) in the distribution of the nodes' clustering coefficients: as other models would predict a constant clustering ...

  4. Network theory - Wikipedia

    en.wikipedia.org/wiki/Network_theory

    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

  5. Network topology - Wikipedia

    en.wikipedia.org/wiki/Network_topology

    Network topology is the arrangement of the elements (links, nodes, etc.) of a communication network. [1] [2] Network topology can be used to define or describe the arrangement of various types of telecommunication networks, including command and control radio networks, [3] industrial fieldbusses and computer networks.

  6. Network science - Wikipedia

    en.wikipedia.org/wiki/Network_science

    Network science is an academic field which studies complex networks such as telecommunication networks, computer networks, biological networks, cognitive and semantic networks, and social networks, considering distinct elements or actors represented by nodes (or vertices) and the connections between the elements or actors as links (or edges).

  7. Dynamic network analysis - Wikipedia

    en.wikipedia.org/wiki/Dynamic_network_analysis

    Latent space models (Sarkar and Moore, 2005) [3] and agent-based simulation are often used to examine dynamic social networks (Carley et al., 2009). [4] From a computer simulation perspective, nodes in DNA are like atoms in quantum theory, nodes can be, though need not be, treated as probabilistic.

  8. Conway's law - Wikipedia

    en.wikipedia.org/wiki/Conway's_law

    The law is, in a strict sense, only about correspondence; it does not state that communication structure is the cause of system structure, merely describes the connection. Different commentators have taken various positions on the direction of causality; that technical design causes the organization to restructure to fit, [ 10 ] that the ...

  9. Weighted network - Wikipedia

    en.wikipedia.org/wiki/Weighted_network

    A weighted network is a network where the ties among nodes have weights assigned to them. A network is a system whose elements are somehow connected. [1] The elements of a system are represented as nodes (also known as actors or vertices) and the connections among interacting elements are known as ties, edges, arcs, or links.