srch

Journal of Computational Social Science | Volumes and issues Volumes and issues Volume 4 May - November 2021 November 2021, issue 2 May 2021, issue 1 Volume 3 April - November 2020 November 2020, issue 2 Special Issue on Misinformation, Manipulation and Abuse in the Era of COVID-19 April 2020, issue 1 Volume 2 January - July 2019 July 2019, issue 2

Dec 19, 2017 · Volume 1, issue 1, January 2018 SPECIAL FEATURE ON COMPUTATIONAL SOCIAL SCIENCE: PERSPECTIVES AND PROSPECTS (pp. 3-185) 14 articles in this issue

omputational social science refers to the academic sub-disciplines concerned with computational approaches to the social sciences...

Feb 06, 2009 · But the emergence of a data-driven “computational social science” has been much slower. Leading journals in economics, sociology, and political science show little evidence of this field. But computational social science is occurring—in Internet companies such as Google and Yahoo, and in government agencies such as the U.S. National Security Agency.

Dec 29, 2021 · The Journal of Computational Social Science (JCSS) is an interdisciplinary peer-reviewed journal that ties together groundbreaking research across the strata of the social sciences (sociology, economics, political science, psychology, linguistics, and other disciplines), physics, biology, management science, computer science, and data science.

Computational Science is a rapidly growing multi- and interdisciplinary field. It develops mathematical and computational models and uses advanced computing ...

Journal of Computational Social Science | Read 1 articles with impact on ResearchGate, the professional network for scientists.

Journal of Computational Social Science. As part of a collaboration with ResearchGate, Springer Nature has made articles from this journal available on ResearchGate. ResearchGate and Springer ...

Computational Science is a rapidly growing multi- and interdisciplinary field ... to solve science (e.g., biological, physical, and social), engineering, ...

The Journal of Computational Social Science (JCSS) is an interdisciplinary peer-reviewed journal that ties together groundbreaking research across the ...

02.12.2021 · Determining political interests of issue-motivated groups on social media: joint topic models for issues, sentiment and stance. Journal of Computational Social Science . 10.1007/s42001-021-00146-4 . 2021 . Author (s): Sandeepa Kannangara . Wayne Wobcke. Keyword (s): Social Media .

a new theoretical or methodological result that can be used to analyze social/economic structures or phenomena from a computational point of view; a survey or discussion that is of wide interest to the computational social science community. • The article is presented in an intelligible fashion and is accessible to interdisciplinary audiences.

We're all now aware of the data deluge and our own digital footprints, making the intersection of computational methods and social science crucial to ...

30.07.2021 · Online first articles listing for Journal of Computational Social Science

Special issue on Social Simulations and Supercomputers. Volume 1 January - September 2018. September 2018, issue 2; January 2018, issue 1. SPECIAL FEATURE ON COMPUTATIONAL SOCIAL SCIENCE: PERSPECTIVES AND PROSPECTS (pp. 3-185)

Journal of Computational Social Science / Springer. Citation Profile [Updated: 2022-01-09 21:43:50]. 5 Years H. 3. Impact Factor.

29.12.2021 · The Journal of Computational Social Science (JCSS) is an interdisciplinary peer-reviewed journal that ties together groundbreaking research across the strata of the social sciences (sociology, economics, political science, psychology, linguistics, and other disciplines), physics, biology, management science, computer science, and data science.

First issue published in January 2018.The Journal of Computational Social Science (JCSS) is an interdisciplinary peer-reviewed journal that ties together .

Aug 28, 2020 · The field of computational social science (CSS) has exploded in prominence over the past decade, with thousands of papers published using observational data, experimental designs, and large-scale simulations that were once unfeasible or unavailable to researchers. These studies have greatly improved our understanding of important phenomena, ranging from social inequality to the spread of infectious diseases.