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Approximations of the Generalized Cascade Model
Author(s) -
András Bóta,
Miklós Krész,
András Pluhár
Publication year - 2013
Publication title -
acta cybernetica
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.143
H-Index - 18
eISSN - 2676-993X
pISSN - 0324-721X
DOI - 10.14232/actacyb.21.1.2013.4
Subject(s) - cascade , generalization , computer science , computation , focus (optics) , algorithm , point (geometry) , field (mathematics) , theoretical computer science , mathematical optimization , mathematics , pure mathematics , mathematical analysis , chemistry , physics , geometry , chromatography , optics
The study of infection processes is an important field of science both from the theoretical and the practical point of view, and has many applications. In this paper we focus on the popular Independent Cascade model and its generalization. Unfortunately the exact computation of infection probabilities is a #P-complete problem [8], so one cannot expect fast exact algorithms. We propose several methods to efficiently compute infection patterns with acceptable accuracy. We will also examine the possibility of substituting the Independent Cascade model with a computationally more tractable model.

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