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Computational Social Science -

Computational Social Science

Proceedings of the 1st International Conference on New Computational Social Science (ICNCSS 2020), September 25-27, 2020, Guangzhou, China
Buch | Softcover
1020 Seiten
2022
CRC Press (Verlag)
978-0-367-70195-6 (ISBN)
CHF 79,95 inkl. MwSt
Selected papers from a conference focusing on the following five aspects: Big data acquisition and analysis, Integration of qualitative research and quantitative research, Sociological Internet experiment research, Application of ABM simulation method in Sociology Research, Research and development of new social computing tools.
Selected papers from the International Conference on New Computational Social Science, focusing on the following five aspects: Big data acquisition and analysis, Integration of qualitative research and quantitative research, Sociological Internet experiment research, Application of ABM simulation method in Sociology Research, Research and development of new social computing tools.
With the rapid development of information technology, especially sweeping progress in the Internet of things, cloud computing, social networks, social media and big data, social computing, as a data-intensive science, is an emerging field that leverages the capacity to collect and analyze data with an unprecedented breadth, depth and scale. It represents a new computing paradigm and an interdisciplinary field of research and application. A broad comprehension of major topics involved in social computing is important for both scholars and practitioners. This proceedings presents and discusses key concepts and analyzes the state-of-the-art of the field.
The conference not only gave insights on social computing, but also affords conduit for future research in the field. Social computing has two distinct trends: One is on the social science issues, such as computational social science, computational sociology, social network analysis, etc; The other is on the use of computational techniques. Finally some new challenges ahead are summarized, including interdisciplinary cooperation and training, big data sharing for scientific data mashups, and privacy protect.

1. Big data acquisition and analysis; 2. Integration of qualitative research and quantitative research; 3. Cultural Studies and Humanities; 4. Law and Education; 5. Management and Economics.

Erscheinungsdatum
Zusatzinfo 260 Tables, black and white; 300 Illustrations, black and white
Verlagsort London
Sprache englisch
Maße 174 x 246 mm
Gewicht 453 g
Themenwelt Mathematik / Informatik Informatik Netzwerke
Sozialwissenschaften Soziologie Empirische Sozialforschung
ISBN-10 0-367-70195-2 / 0367701952
ISBN-13 978-0-367-70195-6 / 9780367701956
Zustand Neuware
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