A large-scale empirical investigation of specialization in criminal career
Scientific Reports, 2023 We use a comprehensive longitudinal dataset on criminal acts over 6 years in a European country to study specialization in criminal careers. We present a method to cluster crime categories by their relative co-occurrence within criminal careers, deriving
Georg Heiler +4 more
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Inequality and inequity in network-based ranking and recommendation algorithms
Scientific Reports, 2022 Though algorithms promise many benefits including efficiency, objectivity and accuracy, they may also introduce or amplify biases. Here we study two well-known algorithms, namely PageRank and Who-to-Follow (WTF), and show to what extent their ranks ...
Lisette Espín-Noboa +3 more
doaj +1 more source
Evolving collaboration, dependencies, and use in the Rust Open Source Software ecosystem
Scientific Data, 2022 Measurement(s) Software dependencies and downloads • Software contributions • Social network data Technology Type(s) crates.io dump • Raw git • GitHub/GitLab APIs Sample Characteristic - Environment Packages of the Rust programming ...
William Schueller +4 more
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Quantifying firm-level economic systemic risk from nation-wide supply networks
Scientific Reports, 2022 Crises like COVID-19 exposed the fragility of highly interdependent corporate supply networks and the complex production processes depending on them. However, a quantitative assessment of individual companies’ impact on the networks’ overall production ...
Christian Diem +4 more
doaj +1 more source
Stress-testing the resilience of the Austrian healthcare system using agent-based simulation
Nature Communications, 2022 As mass quarantines, absences due to sickness, or other shocks thin out patient-physician networks, the system might be pushed to a tipping point where it loses its ability to deliver care.
Michaela Kaleta +8 more
doaj +1 more source
The individual dynamics of affective expression on social media
EPJ Data Science, 2020 Understanding the temporal dynamics of affect is crucial for our understanding human emotions in general. In this study, we empirically test a computational model of affective dynamics by analyzing a large-scale dataset of Facebook status updates using ...
Max Pellert +2 more
doaj +1 more source
Inequality in economic shock exposures across the global firm-level supply network
Nature CommunicationsFor centuries, national economies have been engaging in international trade and production. The resulting international supply networks not only increase wealth for countries, but also allow for economic shocks to propagate across borders.
Abhijit Chakraborty +4 more
doaj +1 more source
Quantifying the stability of refugee populations: a case study in Austria
GenusThe global surge in displacement, with nearly 110 million people uprooted due to violence, underscores the pressing need to comprehend the challenges faced by refugees. Population growth, environmental crises, and political instability contribute to this
Ola Ali +4 more
doaj +1 more source
Quantifying the impact of homophily and influencer networks on song popularity prediction
Scientific ReportsForecasting the popularity of new songs has become a standard practice in the music industry and provides a comparative advantage for those that do it well. Considerable efforts were put into machine learning prediction models for that purpose.
Niklas Reisz +2 more
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Cliopatria - A geospatial database of world-wide political entities from 3400BCE to 2024CE
Scientific DataThe scientific understanding of the complex dynamics of global history – from the rise and spread of states to their declines and falls, from their peaceful interactions with economic or diplomatic exchanges to violent confrontations – requires, at its ...
James S. Bennett +12 more
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