TY  -  
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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PB  -  
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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