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Pregled bibliografske jedinice broj: 755831

Statistical Inference Framework for Source Detection of Contagion Processes on Arbitrary Network Structures


Antulov-Fantulin, Nino; Lančić, Alen; Štefančić, Hrvoje; Šikić, Mile; Šmuc, Tomislav
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
Imperial College, London, United Kingdom, 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
Imperial College, London, United Kingdom, 08-12.09.2014

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

Citiraj ovu publikaciju

Antulov-Fantulin, Nino; Lančić, Alen; Štefančić, Hrvoje; Šikić, Mile; Šmuc, Tomislav
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
Imperial College, London, United Kingdom, 2015. str. 78-83 (ostalo, međunarodna recenzija, cjeloviti rad (in extenso), znanstveni)
Antulov-Fantulin, N., Lančić, A., Štefančić, H., Šikić, M. & Šmuc, T. (2015) Statistical Inference Framework for Source Detection of Contagion Processes on Arbitrary Network Structures. U: Proceedings of 2014 IEEE Eighth International Conference on Self-Adaptive and Self-Organizing Systems Workshops.
@article{article, year = {2015}, pages = {78-83}, keywords = {Contagion spreading, complex networks, source detection}, title = {Statistical Inference Framework for Source Detection of Contagion Processes on Arbitrary Network Structures}, keyword = {Contagion spreading, complex networks, source detection}, publisherplace = {Imperial College, London, United Kingdom} }