prikaz prve stranice dokumenta Causal motifs and existence of endogenous cascades in directed networks with application to company defaults
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Causal motifs and existence of endogenous cascades in directed networks with application to company defaults
Scientific Reports, 11 (2021), 1; 24028. https://doi.org/10.1038/s41598-021-02976-8
Barjašić, Irena; Štefančić, Hrvoje; Pribičević, Vedrana; Zlatić, Vinko

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Barjašić, I., Štefančić, H., Pribičević, V. i Zlatić, V. (2021). Causal motifs and existence of endogenous cascades in directed networks with application to company defaults. Scientific Reports, 11. (1). doi: 10.1038/s41598-021-02976-8

Barjašić, Irena, et al. "Causal motifs and existence of endogenous cascades in directed networks with application to company defaults." Scientific Reports, vol. 11, br. 1, 2021. https://doi.org/10.1038/s41598-021-02976-8

Barjašić, Irena, Hrvoje Štefančić, Vedrana Pribičević i Vinko Zlatić. "Causal motifs and existence of endogenous cascades in directed networks with application to company defaults." Scientific Reports 11, br. 1 (2021). https://doi.org/10.1038/s41598-021-02976-8

Barjašić, I., et al. (2021) 'Causal motifs and existence of endogenous cascades in directed networks with application to company defaults', Scientific Reports, 11(1). doi: 10.1038/s41598-021-02976-8

Barjašić I, Štefančić H, Pribičević V, Zlatić V. Causal motifs and existence of endogenous cascades in directed networks with application to company defaults. Scientific Reports [Internet]. 15.12.2021. [pristupljeno 21.12.2024.];11(1). doi: 10.1038/s41598-021-02976-8

I. Barjašić, H. Štefančić, V. Pribičević i V. Zlatić, "Causal motifs and existence of endogenous cascades in directed networks with application to company defaults", Scientific Reports, vol. 11, br. 1, Prosinac 2021. [Online]. Dostupno na: https://urn.nsk.hr/urn:nbn:hr:217:142250. [Citirano: 21.12.2024.]

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Naslov (engleski)Causal motifs and existence of endogenous cascades in directed networks with application to company defaults
AutorIrena Barjašić
AutorHrvoje Štefančić
AutorVedrana Pribičević
AutorVinko Zlatić
Autorova ustanovaSveučilište u Zagrebu
Prirodoslovno-matematički fakultet
(Fizički odsjek)
Znanstveno / umjetničko
područje, polje i grana		PRIRODNE ZNANOSTI
Fizika
Sažetak (engleski)
Motivated by the detection of cascades of defaults in economy, we developed a detection framework for an endogenous spreading based on causal motifs we define in this paper. We assume that the change of state of a vertex can be triggered by an endogenous or an exogenous event, that the underlying network is directed and that times when vertices changed their states are available. In addition to the data of company defaults, we also simulate cascades driven by different stochastic processes on different synthetic networks. We show that some of the smallest motifs can robustly detect endogenous spreading events. Finally, we apply the method to the data of defaults of Croatian companies and observe the time window in which an endogenous cascade was likely happening.
Ključne riječi (engleski)
Jezikengleski
Vrsta publikacijeZnanstveni rad - Izvorni znanstveni rad
Status objaveObjavljen
Vrsta recenzijeRecenziran - međunarodna recenzija
Verzija publikacijeObjavljena verzija rada (izdavačev PDF)
Naslov časopisaScientific Reports
Brojčani podacivol. 11, br. 1, 24028
e-ISSN2045-2322
DOIhttps://doi.org/10.1038/s41598-021-02976-8
URN:NBNurn:nbn:hr:217:142250
Datum objave publikacije2021-12-15
ProjektŠifra: KK.01.1.1.01.0004
Naziv (hrvatski): Provedba vrhunskih istraživanja u sklopu Znanstvenog centra izvrsnosti za kvantne i kompleksne sustave te reprezentacije Liejevih algebri
Naziv (engleski): Implementation of top research within the Scientific Center of Excellence for Quantum and Complex Systems, and Representations of Lie Algebras
Kratica: QuantiXLie
Voditelj: Hrvoje Buljan
Pravna nadležnost: eu
Financijer: Europska komisija
Linija financiranja: European Regional Development Fund
ProjektŠifra: KK.01.1.1.01.009
Naziv (hrvatski): Napredne metode i tehnologije u znanosti o podatcima i kooperativnim sustavima
Naziv (engleski): Advanced methods and technologies in Data Science and Cooperative Systems
Kratica: DATACROSS
Voditelj: Sven Lončarić
Pravna nadležnost: eu
Financijer: Europska komisija
Linija financiranja: Cohesion Fund
URL dokumentahttps://www.nature.com/articles/s41598-021-02976-8
Vrsta resursaTekst
Prava pristupaOtvoreni pristup
Uvjeti korištenjaIkona licence Imenovanje 4.0 međunarodna (CC BY 4.0)
Javna napomena© The Author(s) 2021. Tis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. Te images or other third party material in this article are included in the article’s Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/. Published: 15 December 2021.
Datum i vrijeme pohrane2024-09-16 12:47:38