Results 281 to 290 of about 837,732 (325)

Rethinking Social Networks in the Era of Computational Social Science

The Oxford Handbook of Social Networks, 2020
Recent work argued that researchers conceptualize “social ties” in four fundamentally different ways—as socially constructed role relations such as friendship or coauthorship, sentiments such as liking or hatred, interactions such as communication or sex,
J. Kitts, E. Quintane
semanticscholar   +1 more source

Visualizing Computational Social Science

Science Communication, 2014
Parallel advances in communication and visualization technologies have enabled the study and visualization of human behavior at a scale and level of detail never before possible. Nowhere are these advances more evident than within the emerging field of computational social science.
Foucault Welles, Brooke, Meirelles, Isabel   +1 more
openaire   +1 more source

Computational Social Sciences

2017
Computational social sciences is a research discipline at the interface between computer science and the traditional social sciences. This interdisciplinary and emerging scientific field uses computationally methods to analyze and model social phenomena, social structures, and collective behavior.
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A computational social science perspective on qualitative data exploration: Using topic models for the descriptive analysis of social media data*

Journal of technology in human services, 2019
Comparing and contrasting qualitative and quantitative methods for social media data exploration, this article describes and demonstrates the topic modeling approach for the descriptive analysis of large unstructured text data.
Maria Rodriguez, Heather L. Storer
semanticscholar   +1 more source

Incorporating Computational Social Science in Political Science

2022
This chapter discusses the challenges and opportunities of incorporating computational social science (CSS) into political science. Using an original dataset of quantitative methods courses offered at the top-40 schools, this study shows that CSS courses are currently underrepresented, but their number is likely to augment because of the competition ...
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Integrating explanation and prediction in computational social science

Nature, 2021
Jake M. Hofman, D. Watts, S. Athey, F. Garip, T. Griffiths, J. Kleinberg, H. Margetts, S. Mullainathan, Matthew J. Salganik, S. Vazire, A. Vespignani, T. Yarkoni   +11 more
semanticscholar   +1 more source

Some Computer Applications in Social Science

American Sociological Review, 1965
in error should diminish our inclination to conceive of associations between two variables as varying in degree only. Clearly, relationships have "shapes" or "forms" (represented in the rules for estimating one variable from another) that may be fully as informative as the degree of association. Since a "P-R-E" interpretation, strictly speaking, cannot
J T, GULLAHORN, J E, GULLAHORN
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Computational Social Sciences Issues

2023
This chapter defines a Discrete-Time and Continuous-Time Markov Chain Process aimed to identify the language used to write a text. This is a brief introduction to show the usefulness of both random walks in the recognition of a language, and how these methods can lead to deepen the recognition using other possible structural language.
openaire   +1 more source

Big Data, Computational Social Science, and Health Communication: A Review and Agenda for Advancing Theory

Health Communication, 2018
Contemporary research on health communication has been marked by the presence of big data and computational social science (CSS) techniques. The relative novelty of these approaches makes it worthwhile to consider their status and potential for advancing
Stephen A. Rains
semanticscholar   +1 more source

Facilitating system-level behavioural climate action using computational social science

Nature Human Behaviour, 2023
Ramit Debnath, S. van der Linden, R. Alvarez, Benjamin Sovacool   +3 more
semanticscholar   +1 more source