no code implementations • 4 May 2023 • Zlata Tabachová, Christian Diem, András Borsos, Csaba Burger, Stefan Thurner
Within a multi-layer network framework we define a financial systemic risk index (FSRI) for every firm, quantifying these expected financial losses caused by its own- and all the secondary defaulting loans caused by supply chain network (SCN) shock propagation.
no code implementations • 22 Feb 2023 • Christian Diem, András Borsos, Tobias Reisch, János Kertész, Stefan Thurner
Using a nearly complete nationwide FPN, containing 243, 399 Hungarian firms with 1, 104, 141 supplier-buyer-relations we self-consistently compare production losses on the aggregated industry-level production network (IPN) and the granular FPN.
no code implementations • 17 Feb 2023 • Johannes Stangl, András Borsos, Christian Diem, Tobias Reisch, Stefan Thurner
We show that for an emission-reduction of 20% the most effective strategy leads to losses of about 2% of jobs and 2% of economic output.
1 code implementation • 4 Oct 2022 • Moritz Laber, Peter Klimek, Martin Bruckner, Liuhuaying Yang, Stefan Thurner
Dependencies in the global food production network can lead to shortages in numerous regions, as demonstrated by the impacts of the Russia-Ukraine conflict on global food supplies.
no code implementations • 31 Jan 2022 • William Schueller, Christian Diem, Melanie Hinterplattner, Johannes Stangl, Beate Conrady, Markus Gerschberger, Stefan Thurner
We demonstrate the method on a large food SN of a European country including 22, 938 business premises, 44, 355 supply links and 116 local administrative districts.
no code implementations • 1 Dec 2021 • Abhijit Chakraborty, Tobias Reisch, Christian Diem, Stefan Thurner
Using global supply network data on the firm-level, we present a method to estimate a country's exposure to direct and indirect economic losses caused by the failure of a company in another country.
no code implementations • 11 Oct 2021 • Tobias Reisch, Georg Heiler, Christian Diem, Stefan Thurner
In particular, we are able to identify the high systemic risk companies.
no code implementations • 15 Apr 2021 • Christian Diem, András Borsos, Tobias Reisch, János Kertész, Stefan Thurner
While knowing the impact of individual companies on national economies is a prerequisite for efficient risk management, the quantitative assessment of the involved economic systemic risks (ESR) is hitherto practically non-existent, mainly because of a lack of fine-grained data in combination with coherent methods.
no code implementations • 20 Oct 2020 • Leonhard Horstmeyer, Christian Kuehn, Stefan Thurner
Second, we discover that there exists a relatively simple critical curve in parameter space for the epidemic threshold, which strongly suggests that there is a mutual compensation effect between the two mitigation strategies: as long as social distancing and quarantine measures are both sufficiently strong, large outbreaks are prevented.
1 code implementation • 22 Mar 2020 • Rudolf Hanel, Stefan Thurner
Here we present a formula to estimate the optimal pooling size, the efficiency gain (tested persons per test), and the expected upper bound of missed infections in the pooled testing, all as a function of the populationwide infection levels and the false negative/positive rates of the currently used PCR tests.
Populations and Evolution Applications
no code implementations • 2 Aug 2019 • Nils Haug, Stefan Thurner, Alexandra Kautzky-Willer, Michael Gyimesi, Peter Klimek
Random walks on this multilayer network provide a more precise model for the time evolution of multimorbid health states when compared to models that cluster patients based on single diseases.
no code implementations • 28 Dec 2018 • Rudolf Hanel, Stefan Thurner
We demonstrate that superimposing grammatical structure -- as a local word re-ordering (permutation) process -- on a sample-space reducing process is sufficient to explain both, word frequencies and word-to-word transition probabilities.
no code implementations • 17 Jul 2014 • Stefan Thurner, Rudolf Hanel, Bo Liu, Bernat Corominas-Murtra
The formation of sentences is a highly structured and history-dependent process.