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T1 - Systemic States of Spreading Activation in Describing Associative Knowledge Networks II : Generalisations with Fractional Graph Laplacians and q-Adjacency Kernels
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UR - http://hdl.handle.net/10138/328983
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A1 - Koponen, Ismo
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Y1 - 2021
LA - eng
AB - Associative knowledge networks are often explored by using the so-called spreading activation model to find their key items and their rankings. The spreading activation model is based on the idea of diffusion- or random walk -like spreading of activation in the network. Here, we propose a generalisation, which relaxes an assumption of simple Brownian-like random walk (or equally, ordinary diffusion process) and takes into account nonlocal jump processes, typical for superdiffusive processes, by ...
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KW - 114 Physical sciences; systemic states; spreading activation; fractional graph Laplacian; nonlinear diffusion; associative knowledge networks; ANOMALOUS DIFFUSION; SCIENCE-EDUCATION; SEMANTIC NETWORKS; QUANTUM WALKS; DYNAMICS; MODEL; MAPS
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