Results 21 to 30 of about 39,144,787 (249)

Fame and Ultrafame: Measuring and comparing daily levels of ‘being talked about’ for United States’ presidents, their rivals, God, countries, and K-pop.

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, Joshua Minot, Michael Arnold, Thayer Alshaabi, Jane Adams, David Dewhurst, Andrew Reagan, Christopher Danforth   +7 more
doaj   +1 more source

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
doaj   +1 more source

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, Dirk Helbing   +1 more
doaj   +1 more source

Big data in social and psychological science: Theoretical and methodological issues [PDF]

, 2017
Big data presents unprecedented opportunities to understand human behavior on a large scale. It has been increasingly used in social and psychological research to reveal individual differences and group dynamics.
CHAN, Sarah Hian May, Sarah Hian May Chan, CHAN, David, Lin Qiu, QIU, Lin, David Chan   +5 more
core   +1 more source

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, Raghava Rao Mukkamala, Abid Hussain, Benjamin Flesch   +3 more
doaj   +1 more source

Young Researchers Advancing Computational Science: Perspectives of the Young Scientists Conference 2015 [PDF]

, 2015
We present an annual international Young Scientists Conference (YSC) on computational science http://ysc.escience.ifmo.ru/, which brings together renowned experts and young researchers working in high-performance computing, data-driven modeling, and ...
Athanassoulis, G.A., Sloot, P.M.A., Klimentov, A.A., Ilyin, V.A, Krzhizhanovskaya, V.V., Krzhizhanovskaya, V.V.; id_orcid, Boukhanovsky, A.V.   +6 more
core   +2 more sources

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, Domonkos Sik, Fanni Máté   +2 more
doaj   +1 more source

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
doaj   +1 more source

Mining Social Science Publications for Survey Variables [PDF]

, 2017
Research in Social Science is usually based on survey data where individual research questions relate to observable concepts (variables). However, due to a lack of standards for data citations a reliable identification of the variables used is often ...
Andrea Zielinski, Zielinski, Andrea, Mutschke, Peter, Peter Mutschke   +3 more
core   +1 more source

Enabling quantitative data analysis through e-infrastructures [PDF]

, 2009
This paper discusses how quantitative data analysis in the social sciences can engage with and exploit an e-Infrastructure. We highlight how a number of activities which are central to quantitative data analysis, referred to as ‘data management’, can ...
Sinnott, Richard, Lambert, P.S., Jones, Simon, Maxwell, M., Warner, G., Gayle, V., Tan, K., Lambert, Paul, Tan, K.L.L., Tan, Koon Leai Larry, Bowes, A., Sinnott, Richard O., Bell, D.N.F., Jones, S., Blum, Jesse, Turner, K. J., Turner, K.J., Sinnott, R., Lambert, Paul S., Jones, Simon B., Warner, Guy, Lambert, P, Gayle, Vernon, Jones, S.B., Blum, J., Turner, Kenneth J, Blum, Jesse Michael, Sinnott, R.O., Turner, Ken J.   +28 more
core   +2 more sources