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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.
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.
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Computational Social Science - Proceedings of the 2nd International Conference on New Computational Social Science (ICNCSS 2021), October 15-17, 2021, Suzhou, Jiangsu, China (Hardcover)
Dan Dobrota, Roshan Chitrakar, Maria CIUREA, Liliana Mata, Wei Luo
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R4,151
Discovery Miles 41 510
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Ships in 12 - 17 working days
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The proceedings publish selected papers from the 2nd 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.
|
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