Results 21 to 30 of about 626,067 (181)
On the accuracy of short-term COVID-19 fatality forecasts
BMC Infectious Diseases, 2022 Background Forecasting new cases, hospitalizations, and disease-induced deaths is an important part of infectious disease surveillance and helps guide health officials in implementing effective countermeasures.
Nino Antulov-Fantulin, Lucas Böttcher
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Journal of Quantitative Description: Digital Media, 2022 When building a global brand of any kind—a political actor, clothing style, or belief system— developing widespread awareness is a primary goal. Short of knowing any of the stories or products of a brand, being talked about in whatever fashion—raw
Peter Dodds +7 more
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07431 Executive Summary -- Computational Issues in Social Choice [PDF]
, 2007 Computational social choice is an interdisciplinary field of study at the interface of social choice theory and computer science, with knowledge flowing in either direction.
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Studying social networks in the age of computational social science
EPJ Data Science, 2023 Social and behavioral sciences now stand at a critical juncture. The emergence of Computational Social Science has significantly changed how social networks are studied.
Xinwei Xu
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Less can be more: Pruning street networks for sustainable city-making
Transportation Research Interdisciplinary Perspectives, 2023 Current trends in urban planning aim at the reduction of space for private vehicles to promote alternative mobility, more diverse activities on streets and reduced pollution for healthier cities.
Javier Argota Sánchez-Vaquerizo +1 more
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Social Set Analysis: A Set Theoretical Approach to Big Data Analytics
IEEE Access, 2016 Current analytical approaches in computational social science can be characterized by four dominant paradigms: text analysis (information extraction and classification), social network analysis (graph theory), social complexity analysis (complex systems ...
Ravi Vatrapu +3 more
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A Bibliometric Analysis of the Use of Artificial Intelligence Technologies for Social Sciences
Mathematics, 2022 The use of Artificial Intelligence (AI) and Big Data analysis algorithms is complementary to theory-driven analysis approaches and becoming more popular also in social sciences.
Tuba Bircan, Almila Alkim Akdag Salah
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Computational social science: Obstacles and opportunities [PDF]
Science, 2020 Data sharing, research ethics, and incentives must ...
Lazer, David M. J. +14 more
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Machine Learning of Concepts Hard Even for Humans: The Case of Online Depression Forums
International Journal of Qualitative Methods, 2020 Social scientists of mixed-methods research have traditionally used human annotators to classify texts according to some predefined knowledge. The “big data” revolution, the fast growth of digitized texts in recent years brings new opportunities but also
Renáta Németh +2 more
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Understanding the Roots of Radicalisation on Twitter [PDF]
, 2018 In an increasingly digital world, identifying signs of online extremism sits at the top of the priority list for counter-extremist agencies. Researchers and governments are investing in the creation of advanced information technologies to identify and ...
Borum Randy +5 more
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