Results 1 to 10 of about 6,178,625 (296)
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
Complexity as Process: Complexity Inspired Approaches to Composition [PDF]
, 2010 This article examines the use of Complexity Theory as an inspiration for the creation of new musical works, and highlights problems and possible solutions associated with its application as a compositional tool.
Baker +16 more
core +1 more source
Descriptive Complexity for Counting Complexity Classes
, 2020 Descriptive Complexity has been very successful in characterizing complexity classes of decision problems in terms of the properties definable in some logics.
Arenas, Marcelo +2 more
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From average case complexity to improper learning complexity [PDF]
, 2014 The basic problem in the PAC model of computational learning theory is to determine which hypothesis classes are efficiently learnable. There is presently a dearth of results showing hardness of learning problems. Moreover, the existing lower bounds fall
Berthet Q. +3 more
core +1 more source
, 2020 We compute the quantum circuit complexity of the evolution of scalar curvature perturbations on expanding backgrounds, using the language of squeezed vacuum states.
Bhattacharyya, Arpan +3 more
core +1 more source