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arxiv: 1602.02394 · v1 · pith:NXOEFMLDnew · submitted 2016-02-07 · ⚛️ physics.soc-ph · cond-mat.stat-mech· nlin.CD

Reduced Google matrix

classification ⚛️ physics.soc-ph cond-mat.stat-mechnlin.CD
keywords interactionsmatrixnodesdirectedeffectivegooglenetworkquantum
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Using parallels with the quantum scattering theory, developed for processes in nuclear and mesoscopic physics and quantum chaos, we construct a reduced Google matrix $G_R$ which describes the properties and interactions of a certain subset of selected nodes belonging to a much larger directed network. The matrix $G_R$ takes into account effective interactions between subset nodes by all their indirect links via the whole network. We argue that this approach gives new possibilities to analyze effective interactions in a group of nodes embedded in a large directed networks. Possible efficient numerical methods for the practical computation of $G_R$ are also described.

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