Gradient Network
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Gradient Network
In network science, a gradient network is a directed subnetwork of an undirected "substrate" computer network, network where each node (networking), node has an associated scalar potential and one out-link that points to the node with the smallest (or largest) potential in its neighborhood, defined as the union of itself and its Neighbourhood (graph theory), neighbors on the substrate network. Definition Transport takes place on a fixed network G = G(V,E) called the substrate graph. It has ''N'' nodes, V = \ and the set of edges E = \ . Given a node ''i'', we can define its set of neighbors in G by Si(1) = . Let us also consider a scalar field, ''h'' = defined on the set of nodes V, so that every node i has a scalar value ''h''''i'' associated to it. Gradient ∇''h''''i'' on a network: ∇h''i= (i, μ(i))'' i.e. the directed edge from ''i'' to ''μ(i)'', where ''μ''(''i'') ∈ Si(1) ∪ , and hμ has the maximum value in . ''Gradient network'' : ''∇G = ∇G (V, F) ...
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Network Science
Network science is an academic field which studies complex networks such as telecommunication networks, computer networks, biological networks, Cognitive network, 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''). The field draws on theories and methods including graph theory from mathematics, statistical mechanics from physics, data mining and information visualization from computer science, inferential statistics, inferential modeling from statistics, and social structure from sociology. The United States National Research Council defines network science as "the study of network representations of physical, biological, and social phenomena leading to predictive models of these phenomena." Background and history The study of networks has emerged in diverse disciplines as a means of analyzing complex relational ...
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