Computational Social Science: Proceedings of the 1st International Conference on New Computational Social Science (ICNCSS 2020), September 25-27, 2020, Guangzhou, China

Social computing 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. The conference presented and discussed key concepts and analyzed the state-of-the-art of the field, with two distinct trends: one on social science issues and the other on the use of computational techniques. New challenges ahead include interdisciplinary cooperation and training, big data sharing for scientific data mashups, and privacy protection.

Format: Paperback / softback
Length: 1020 pages
Publication date: 26 September 2022
Publisher: Taylor & Francis Ltd

The field of social computing, driven by the rapid advancements in information technology, including the Internet of Things, cloud computing, social networks, social media, and big data, has emerged as a data-intensive science with immense potential. It represents a transformative computing paradigm and an interdisciplinary domain that harnesses the power to collect, analyze, and interpret data on a previously unheard-of scale. A comprehensive understanding of the key topics within social computing is crucial for scholars and practitioners alike. This proceedings aims to present and discuss cutting-edge concepts and provide a comprehensive analysis of the state-of-the-art in the field.

Social computing can be observed in two distinct trends: one focused on social science issues, such as computational social science, computational sociology, social network analysis, and related areas, and the other on the application of computational techniques. These trends intersect to create a rich and dynamic field of research and application.

One of the significant challenges facing social computing is the need for interdisciplinary cooperation and training. As social computing involves a fusion of diverse disciplines, including computer science, sociology, psychology, and more, collaboration across these fields is essential to advance our understanding and develop innovative solutions. Additionally, there is a growing demand for training programs that equip individuals with the skills and knowledge necessary to work in social computing, including data analysis, machine learning, and artificial intelligence.

Another challenge is the sharing of big data for scientific data mashups. With the increasing amount of data generated by various sources, such as social media, sensors, and surveillance systems, there is a need for efficient and effective methods to combine and analyze this data. This requires collaboration among researchers, data custodians, and technology providers to establish protocols and standards for data sharing and access.

Finally, privacy protection is a critical concern in social computing. As social networks and other digital platforms collect and store vast amounts of personal information, it is essential to ensure that this data is used responsibly and with the consent of individuals. This requires developing robust privacy policies, implementing encryption techniques, and educating users about their rights and responsibilities in the digital age.

In conclusion, social computing is a rapidly evolving field with immense potential to transform the way we understand and interact with society. By fostering interdisciplinary cooperation, promoting big data sharing, and addressing privacy concerns, we can unlock the full potential of social computing and create a more informed, connected, and empowered world.

Weight: 1923g
Dimension: 246 x 174 (mm)
ISBN-13: 9780367701956