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In graph theory and network analysis, node influence metrics are measures that rank or quantify the influence of every node (also called vertex) within a graph. They are related to centrality indices. Applications include measuring the influence of each person in a social network, understanding the role of infrastructure nodes in transportation networks, the Internet, or urban networks, and the participation of a given node in disease dynamics.

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  • Node influence metric (en)
  • Показатель влияния узла (ru)
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  • In graph theory and network analysis, node influence metrics are measures that rank or quantify the influence of every node (also called vertex) within a graph. They are related to centrality indices. Applications include measuring the influence of each person in a social network, understanding the role of infrastructure nodes in transportation networks, the Internet, or urban networks, and the participation of a given node in disease dynamics. (en)
  • Показатель влияния узла — это мера, которая ранжирует или количественно выражает влияние каждого узла (называемого также вершиной) в графе. Показатели имеют связь с индексами центральности. Приложения показателя включают меры влияния каждого лица в социальной сети, понимание роли узлов в транспортных сетях, интернете, или городских сетях и роль данного узла в динамике заболевания. (ru)
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  • In graph theory and network analysis, node influence metrics are measures that rank or quantify the influence of every node (also called vertex) within a graph. They are related to centrality indices. Applications include measuring the influence of each person in a social network, understanding the role of infrastructure nodes in transportation networks, the Internet, or urban networks, and the participation of a given node in disease dynamics. (en)
  • Показатель влияния узла — это мера, которая ранжирует или количественно выражает влияние каждого узла (называемого также вершиной) в графе. Показатели имеют связь с индексами центральности. Приложения показателя включают меры влияния каждого лица в социальной сети, понимание роли узлов в транспортных сетях, интернете, или городских сетях и роль данного узла в динамике заболевания. (ru)
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