Results 11 to 20 of about 624,305 (324)

Manifesto of computational social science [PDF]

The European Physical Journal Special Topics, 2012
The increasing integration of technology into our lives has created unprecedented volumes of data on society's everyday behaviour. Such data opens up exciting new opportunities to work towards a quantitative understanding of our complex social systems, within the realms of a new discipline known as Computational Social Science.
Conte, R., Gilbert, N., Bonelli, G., Cioffi-Revilla, C., Deffuant, G., Kertesz, J., Loreto, V., Moat, S., Nadal, J. -P., Sanchez, A., Nowak, A., Flache, A., San Miguel, M., Helbing, D., Helbig, D.   +14 more
core   +18 more sources

Critical computational social science

EPJ Data Science
In her 2021 IC2S2 keynote talk, “Critical Data Theory,” Margaret Hu builds off Critical Race Theory, privacy law, and big data surveillance to grapple with questions at the intersection of big data and legal jurisprudence.
Sarah Shugars
doaj   +2 more sources

Core Concepts: Computational social science. [PDF]

Proc Natl Acad Sci U S A, 2016
Mann A.
europepmc   +5 more sources

Caveat emptor, computational social science: Large-scale missing data in a widely-published Reddit corpus. [PDF]

PLoS One, 2018
Gaffney D, Matias JN.
europepmc   +2 more sources

The Reddit cannabis subjective highness rating scale: Applying computational social science to explore psychological and environmental correlates of naturalistic cannabis use. [PDF]

PLoS One
Meacham MC, Nobles AL, Bone C', Gilbert M, Thrul J.   +4 more
europepmc   +3 more sources

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, Tyler Thrash, Julia Schicker, Christoph Hölscher, Dirk Helbing, Leonel Enrique Aguilar Melgar   +5 more
doaj   +1 more source

Parameterized Algorithmics for Computational Social Choice: Nine Research Challenges [PDF]

, 2014
Computational Social Choice is an interdisciplinary research area involving Economics, Political Science, and Social Science on the one side, and Mathematics and Computer Science (including Artificial Intelligence and Multiagent Systems) on the other ...
Bredereck, Robert, Chen, Jiehua, Faliszewski, Piotr, Guo, Jiong, Niedermeier, Rolf, Woeginger, Gerhard J.   +5 more
core   +6 more sources

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, Nino Antulov-Fantulin, Thomas Asikis   +2 more
doaj   +1 more source

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, Fariba Karimi, Bruno Ribeiro, Kristina Lerman, Claudia Wagner   +4 more
doaj   +1 more source

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, Fariba Karimi, Maria Zens, Johann Schaible, Mathieu Génois, Markus Strohmaier   +5 more
doaj   +1 more source