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  2. Social network analysis - Wikipedia

    en.wikipedia.org/wiki/Social_network_analysis

    After the initial mapping of the social network is complete, analysis is performed to determine the structure of the network and determine, for example, the leaders within the network. [68] This allows military or law enforcement assets to launch capture-or-kill decapitation attacks on the high-value targets in leadership positions to disrupt ...

  3. Network calculus - Wikipedia

    en.wikipedia.org/wiki/Network_calculus

    Network calculus is "a set of mathematical results which give insights into man-made systems such as concurrent programs, digital circuits and communication networks." [1] Network calculus gives a theoretical framework for analysing performance guarantees in computer networks.

  4. Network analysis - Wikipedia

    en.wikipedia.org/wiki/Network_analysis

    Network analysis can refer to: Network theory, the analysis of relations through mathematical graphs Social network analysis, network theory applied to social relations;

  5. Network analysis (electrical circuits) - Wikipedia

    en.wikipedia.org/wiki/Network_analysis...

    Network analysis is the process of finding the voltages across, and the currents through, all network components. There are many techniques for calculating these values; however, for the most part, the techniques assume linear components. Except where stated, the methods described in this article are applicable only to linear network analysis.

  6. Network theory - Wikipedia

    en.wikipedia.org/wiki/Network_theory

    Network problems that involve finding an optimal way of doing something are studied as combinatorial optimization.Examples include network flow, shortest path problem, transport problem, transshipment problem, location problem, matching problem, assignment problem, packing problem, routing problem, critical path analysis, and program evaluation and review technique.

  7. Clustering coefficient - Wikipedia

    en.wikipedia.org/wiki/Clustering_coefficient

    In graph theory, a clustering coefficient is a measure of the degree to which nodes in a graph tend to cluster together. Evidence suggests that in most real-world networks, and in particular social networks, nodes tend to create tightly knit groups characterised by a relatively high density of ties; this likelihood tends to be greater than the average probability of a tie randomly established ...

  8. Network synthesis filters - Wikipedia

    en.wikipedia.org/wiki/Network_synthesis_filters

    The method can be viewed as the inverse problem of network analysis. Network analysis starts with a network and by applying the various electric circuit theorems predicts the response of the network. Network synthesis on the other hand, starts with a desired response and its methods produce a network that outputs, or approximates to, that ...

  9. 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).