Dataset
Detectability limits of epidemic sources in networks
Ruđer Bošković Institute, 2014. urn:nbn:hr:241:758019
Antulov-Fantulin, Nino; Lančić, Alen; Štefančić, Hrvoje; Šmuc, Tomislav; Šikić, Mile

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Antulov Fantulin, N., Lančić, A., Štefančić, H., Šmuc, T. & Šikić, M. (2014). Detectability limits of epidemic sources in networks [Data set]. https://urn.nsk.hr/urn:nbn:hr:241:758019.

Antulov Fantulin, Nino, et al. Detectability limits of epidemic sources in networks. Institut Ruđer Bošković, 2014. 18 Apr 2024. https://urn.nsk.hr/urn:nbn:hr:241:758019.

Antulov Fantulin, Nino, Alen Lančić, Hrvoje Štefančić, Tomislav Šmuc, and Mile Šikić. 2014. Detectability limits of epidemic sources in networks. Institut Ruđer Bošković. https://urn.nsk.hr/urn:nbn:hr:241:758019.

Antulov Fantulin, N., et al. 2014. Detectability limits of epidemic sources in networks. Institut Ruđer Bošković. [Online]. [Accessed 18 April 2024]. Available from: https://urn.nsk.hr/urn:nbn:hr:241:758019.

Antulov Fantulin N, Lančić A, Štefančić H, Šmuc T, Šikić M. Detectability limits of epidemic sources in networks. [Internet]. Institut Ruđer Bošković: Zagreb, Bijenička 54, HR; 2014, [cited 2024 April 18] Available from: https://urn.nsk.hr/urn:nbn:hr:241:758019.

N. Antulov Fantulin, A. Lančić, H. Štefančić, T. Šmuc and M. Šikić, Detectability limits of epidemic sources in networks, Institut Ruđer Bošković, 2014. Accessed on: Apr 18, 2024. Available: https://urn.nsk.hr/urn:nbn:hr:241:758019.

Title (english)Detectability limits of epidemic sources in networks
AuthorNino Antulov-Fantulin
Ruđer Bošković Institute
Institut Ruđer Bošković
AuthorAlen Lančić
AuthorHrvoje Štefančić
Hrvatsko katoličko sveučilište
AuthorTomislav Šmuc
Institut Ruđer Bošković
Ruđer Bošković Institute
AuthorMile Šikić
Sveučilište u Zagrebu, Fakultet elektrotehnike i računarstva
Scientific / art field,
discipline and subdiscipline		NATURAL SCIENCES
Mathematics
Applied Mathematics and Mathematical Modeling
Scientific / art field,
discipline and subdiscipline		NATURAL SCIENCES
Mathematics
Probability Theory and Statistics
Scientific / art field,
discipline and subdiscipline		TECHNICAL SCIENCES
Computing
Artificial Intelligence
Abstract (english)
The supporting data (networks, benchmark solutions), source code in C++ and Mathematica
Keywords (english)
Languageenglish
URN:NBNurn:nbn:hr:241:758019
Publication2014-05-15
GeolocationZagreb, Bijenička 54, Croatia
External related objectIs identical to: URL http://fulir.irb.hr/1354/
PublisherInstitut Ruđer Bošković
Ruđer Bošković Institute
Access conditionsOpen access
Terms of useLicence Attribution 4.0 International (CC BY 4.0) icon
Created on2021-03-10 14:15:51