Pregled bibliografske jedinice broj: 755831
Statistical Inference Framework for Source Detection of Contagion Processes on Arbitrary Network Structures
Statistical Inference Framework for Source Detection of Contagion Processes on Arbitrary Network Structures // Proceedings of 2014 IEEE Eighth International Conference on Self-Adaptive and Self-Organizing Systems Workshops
London, Ujedinjeno Kraljevstvo, 2015. str. 78-83 (ostalo, međunarodna recenzija, cjeloviti rad (in extenso), znanstveni)
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Naslov
Statistical Inference Framework for Source Detection of Contagion Processes on Arbitrary Network Structures
Autori
Antulov-Fantulin, Nino ; Lančić, Alen ; Štefančić, Hrvoje ; Šikić, Mile ; Šmuc, Tomislav
Vrsta, podvrsta i kategorija rada
Radovi u zbornicima skupova, cjeloviti rad (in extenso), znanstveni
Izvornik
Proceedings of 2014 IEEE Eighth International Conference on Self-Adaptive and Self-Organizing Systems Workshops
/ - , 2015, 78-83
Skup
IEEE Eighth International Conference on Self-Adaptive and Self-Organizing Systems Workshops
Mjesto i datum
London, Ujedinjeno Kraljevstvo, 08.09.2014. - 12.09.2014
Vrsta sudjelovanja
Ostalo
Vrsta recenzije
Međunarodna recenzija
Ključne riječi
Contagion spreading; complex networks; source detection
Sažetak
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.
Izvorni jezik
Engleski
Znanstvena područja
Fizika, Računarstvo
POVEZANOST RADA
Ustanove:
Fakultet elektrotehnike i računarstva, Zagreb,
Institut "Ruđer Bošković", Zagreb,
Prirodoslovno-matematički fakultet, Zagreb,
Hrvatsko katoličko sveučilište, Zagreb
Profili:
Hrvoje Štefančić
(autor)
Mile Šikić
(autor)
Tomislav Šmuc
(autor)
Alen Lančić
(autor)
Nino Antulov-Fantulin
(autor)