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Computational reproducibility in computational social science [PDF]
EPJ Data ScienceOpen science practices have been widely discussed and have been implemented with varying success in different disciplines. We argue that computational-x disciplines such as computational social science, are also susceptible to the symptoms of the crises,
David Schoch +3 more
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For a heterodox computational social science [PDF]
Big Data & Society, 2021 The proliferation of digital data has been the impetus for the emergence of a new discipline for the study of social life: ‘computational social science’.
Petter Törnberg, Justus Uitermark
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On Agent-Based Modelling and Computational Social Science [PDF]
Frontiers in Psychology, 2014 In the first part of the paper, the field of Agent-Based Modelling is discussed focusing on the role of generative theories, aiming at explaining phenomena by growing them.
Rosaria eConte, Mario ePaolucci
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Complexity of Social Networks [PDF]
EntropyResearch on social networks now sits at a productive intersection between network science and computational social science [...]
Zi-Ke Zhang +3 more
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Computational Social Science and Sociology. [PDF]
Annu Rev Sociol, 2020 Edelmann A +3 more
europepmc +2 more sources
Computational Social Science of Disasters: Opportunities and Challenges
Future Internet, 2019 Disaster events and their economic impacts are trending, and climate projection studies suggest that the risks of disaster will continue to increase in the near future.
Annetta Burger +3 more
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Visibility matters during wayfinding in the vertical
Scientific Reports, 2021 Visibility is the degree to which different parts of the environment can be observed from a given vantage point. In the absence of previous familiarity or signage, the visibility of key elements in a multilevel environment (e.g., the entrance, exit, or ...
Michal Gath-Morad +5 more
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AI Pontryagin or how artificial neural networks learn to control dynamical systems
Nature Communications, 2022 Optimal control of complex dynamical systems can be challenging due to cost constraints and analytical intractability. The authors propose a machine-learning-based control framework able to learn control signals and force complex high-dimensional ...
Lucas Böttcher +2 more
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Explaining classification performance and bias via network structure and sampling technique
Applied Network Science, 2021 Social networks are very important carriers of information. For instance, the political leaning of our friends can serve as a proxy to identify our own political preferences.
Lisette Espín-Noboa +4 more
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Group mixing drives inequality in face-to-face gatherings
Communications Physics, 2022 The emergence of inequality in social interactions can depend on a number of factors, among which the intrinsic attractiveness of individuals, but also group size the presence of pre-formed social ties.
Marcos Oliveira +5 more
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