Results 11 to 20 of about 109,371 (286)
Analytical sociology and computational social science. [PDF]
J Comput Soc Sci, 2018 Analytical sociology focuses on social interactions among individuals and the hard-to-predict aggregate outcomes they bring about. It seeks to identify generalizable mechanisms giving rise to emergent properties of social systems which, in turn, feed ...
Keuschnigg M, Lovsjö N, Hedström P.
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Core Concepts: Computational social science. [PDF]
Proc Natl Acad Sci U S A, 2016 Mann A.
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Thinking spatially in computational social science
EPJ Data ScienceDeductive and theory-driven research starts by asking questions. Finding tentative answers to these questions in the literature is next. It is followed by gathering, preparing and modelling relevant data to empirically test these tentative answers ...
Aliakbar Akbaritabar
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Methods and applications in social networks analysis [PDF]
, 2021 The Social Network Analysis perspective has proven the ability to develop a significant breadth of theoretical and methodological issues witnessed by the contribution of an increasing number of scholars and the multiplication of empirical applications in
Giordano, Giuseppe +2 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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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. +14 more
openaire +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 +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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Computational appraisal of gender representativeness in popular movies
Humanities & Social Sciences Communications, 2021 Gender representation in mass media has long been mainly studied by qualitatively analyzing content. This article illustrates how automated computational methods may be used in this context to scale up such empirical observations and increase their ...
Antoine Mazières +2 more
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