Statistical Inference Framework for Source Detection of Contagion Processes on Arbitrary Network Structures (CROSBI ID 622750)
Prilog sa skupa u zborniku | izvorni znanstveni rad | međunarodna recenzija
Podaci o odgovornosti
Antulov-Fantulin, Nino ; Lančić, Alen ; Štefančić, Hrvoje ; Šikić, Mile ; Šmuc, Tomislav
engleski
Statistical Inference Framework for Source Detection of Contagion Processes on Arbitrary Network Structures
We introduce a statistical inference framework for maximum likelihood estimation of the contagion source from a partially observed contagion spreading process on an arbitrary network structure. The framework is based on simulations of a contagion spreading process from a set of potential sources which were infected in the observed realization. We present a number of different likelihood estimators for determining the conditional probabilities of potential initial sources producing the observed epidemic realization, which are computed in scalable and parallel way. This statistical inference framework is applicable to arbitrary networks with different dynamical spreading processes.
Contagion spreading; complex networks; source detection
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Podaci o prilogu
78-83.
2015.
objavljeno
Podaci o matičnoj publikaciji
Proceedings of 2014 IEEE Eighth International Conference on Self-Adaptive and Self-Organizing Systems Workshops
Podaci o skupu
Nepoznat skup
ostalo
29.02.1904-29.02.2096