Computational Social Science: Proceedings of the 2nd International Conference on New Computational Social Science (ICNCSS 2021), October 15-17, 2021, Suzhou, Jiangsu, China

The 2nd International Conference on New Computational Social Science focused on 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. It is an emerging field that leverages the capacity to collect and analyze data with an unprecedented breadth,depth and scale. A broad comprehension of major topics involved in social computing is important for both scholars and practitioners.

Format: Hardback
Length: 270 pages
Publication date: 01 July 2022
Publisher: Taylor & Francis Ltd

The 2nd International Conference on New Computational Social Science (ICNCSS) brought together experts from around the world to explore innovative approaches in social science research. The conference focused on five key areas: Big data acquisition and analysis, Integration of qualitative research and quantitative research, Sociological Internet experiment research, Application of ABM simulation method in Sociology Research, and Research and development of new social computing tools.

Big data acquisition and analysis: The conference emphasized the importance of collecting and analyzing large datasets to gain insights into social phenomena. Speakers discussed various methods and techniques for collecting and analyzing data, including text analysis, social network analysis, and machine learning. They also explored the challenges and opportunities associated with big data, such as data privacy, data quality, and data integration.

Integration of qualitative research and quantitative research: The conference recognized the need for integrating qualitative and quantitative research methods to obtain a more comprehensive understanding of social phenomena. Speakers discussed the challenges and benefits of integrating different research approaches, such as using mixed methods research, qualitative analysis, and quantitative analysis. They also explored the use of data visualization and other tools to facilitate the integration of qualitative and quantitative data.

Sociological Internet experiment research: The conference explored the use of the Internet and social media to conduct social experiments and analyze social behavior. Speakers discussed the design and implementation of online experiments, the analysis of data, and the interpretation of results. They also discussed the ethical considerations and limitations of conducting online experiments.

Application of ABM simulation method in Sociology Research: The conference discussed the use of agent-based modeling (ABM) to simulate social systems and analyze social behavior. Speakers discussed the advantages and limitations of ABM, the development of ABM models, and the application of ABM in various fields of sociology, such as social networks, organizations, and communities.

Research and development of new social computing tools: The conference emphasized the need for developing new social computing tools to facilitate social science research. Speakers discussed the development of new software tools, platforms, and algorithms for data analysis, visualization, and simulation. They also discussed the challenges and opportunities associated with developing new social computing tools, such as interdisciplinary cooperation, open source software, and data sharing.

The conference provided a platform for scholars and practitioners to exchange ideas, share research findings, and discuss future directions in social science research. It also highlighted the importance of interdisciplinary cooperation and training in social computing, as well as the need for big data sharing for scientific data mashups and privacy protection.

In conclusion, the 2nd International Conference on New Computational Social Science was a successful event that brought together experts from different fields to explore innovative approaches in social science research. The conference focused on five key areas, including big data acquisition and analysis, integration of qualitative and quantitative research, sociological Internet experiment research, application of ABM simulation method in Sociology Research, and research and development of new social computing tools. The conference provided a valuable platform for scholars and practitioners to exchange ideas, share research findings, and discuss future directions. It also highlighted the importance of interdisciplinary cooperation and training in social computing, as well as the need for big data sharing for scientific data mashups and privacy protection.

Weight: 680g
Dimension: 246 x 174 (mm)
ISBN-13: 9781032303765