Big Data and Social Computing: 7th China National Conference, BDSC 2022, Hangzhou, China, August 11-13, 2022, Revised Selected Papers

This book presents refereed proceedings from the 7th China National Conference on Big Data and Social Computing, BDSC 2022, covering various topics such as urban computing, artificial intelligence, social networks, digital society, and public security. The papers were selected from a total of 99 submissions.

Format: Paperback / softback
Length: 390 pages
Publication date: 08 December 2022
Publisher: Springer Verlag, Singapore

The 7th China National Conference on Big Data and Social Computing (BDSC 2022) was held in Hangzhou, China, from August 11 to 13, 2022. This conference brought together experts and researchers from around the world to discuss the latest advancements in big data and social computing.

The conference featured a total of 24 full papers and 2 short papers, which were carefully reviewed and selected from a total of 99 submissions. The papers were organized into five topical headings: urban computing and social governance, artificial intelligence and cognitive science, social network and group behavior, digital society and public security, and digital government and public big data.

The first topical heading, urban computing and social governance, focused on the use of big data and social computing in urban areas. The papers discussed various applications of these technologies, such as smart city development, traffic management, public health monitoring, and social welfare services. The authors emphasized the importance of data privacy, security, and ethical considerations in the development and implementation of urban computing solutions.

The second topical heading, artificial intelligence and cognitive science, explored the intersection of big data and artificial intelligence. The papers discussed various AI algorithms and techniques, such as machine learning, natural language processing, and computer vision, and their applications in fields such as healthcare, finance, and education. The authors discussed the challenges and opportunities associated with AI, such as bias, transparency, and accountability.

The third topical heading, social network and group behavior, focused on the analysis of social networks and group behavior. The papers discussed various methods and models for analyzing social networks, such as network analysis, graph theory, and social psychology. The authors emphasized the importance of understanding social networks in order to develop effective interventions and policies.

The fourth topical heading, digital society and public security, focused on the use of big data and social computing in addressing public security challenges. The papers discussed various applications of these technologies, such as crime prevention, cyber security, and emergency response. The authors emphasized the importance of collaboration between government agencies, private companies, and researchers in developing effective solutions to public security problems.

The fifth topical heading, digital government and public big data, focused on the use of big data and social computing in government agencies and public institutions. The papers discussed various applications of these technologies, such as data-driven policymaking, public service delivery, and government transparency. The authors emphasized the importance of data governance, privacy protection, and ethical considerations in the development and implementation of digital government solutions.

Overall, the 7th China National Conference on Big Data and Social Computing was a successful event that brought together experts and researchers from around the world to discuss the latest advancements in big data and social computing. The conference provided a platform for exchanging ideas, sharing experiences, and building collaborations. The papers presented at the conference covered a wide range of topics and demonstrated the potential of big data and social computing to address a wide range of social and economic challenges.

In conclusion, the 7th China National Conference on Big Data and Social Computing was a valuable event that contributed to the development of big data and social computing in China and around the world. The conference provided a platform for exchanging ideas, sharing experiences, and building collaborations. The papers presented at the conference covered a wide range of topics and demonstrated the potential of big data and social computing to address a wide range of social and economic challenges. We look forward to seeing the continued growth and development of this field in the future.
The 7th China National Conference on Big Data and Social Computing (BDSC 2022) was held in Hangzhou, China, from August 11 to 13, 2022. This conference brought together experts and researchers from around the world to discuss the latest advancements in big data and social computing.

The conference featured a total of 24 full papers and 2 short papers, which were carefully reviewed and selected from a total of 99 submissions. The papers were organized into five topical headings: urban computing and social governance, artificial intelligence and cognitive science, social network and group behavior, digital society and public security, and digital government and public big data.

The first topical heading, urban computing and social governance, focused on the use of big data and social computing in urban areas. The papers discussed various applications of these technologies, such as smart city development, traffic management, public health monitoring, and social welfare services. The authors emphasized the importance of data privacy, security, and ethical considerations in the development and implementation of urban computing solutions.

The second topical heading, artificial intelligence and cognitive science, explored the intersection of big data and artificial intelligence. The papers discussed various AI algorithms and techniques, such as machine learning, natural language processing, and computer vision, and their applications in fields such as healthcare, finance, and education. The authors discussed the challenges and opportunities associated with AI, such as bias, transparency, and accountability.

The third topical heading, social network and group behavior, focused on the analysis of social networks and group behavior. The papers discussed various methods and models for analyzing social networks, such as network analysis, graph theory, and social psychology. The authors emphasized the importance of understanding social networks in order to develop effective interventions and policies.

The fourth topical heading, digital society and public security, focused on the use of big data and social computing in addressing public security challenges. The papers discussed various applications of these technologies, such as crime prevention, cyber security, and emergency response. The authors emphasized the importance of collaboration between government agencies, private companies, and researchers in developing effective solutions to public security problems.

The fifth topical heading, digital government and public big data, focused on the use of big data and social computing in government agencies and public institutions. The papers discussed various applications of these technologies, such as data-driven policymaking, public service delivery, and government transparency. The authors emphasized the importance of data governance, privacy protection, and ethical considerations in the development and implementation of digital government solutions.

Overall, the 7th China National Conference on Big Data and Social Computing was a successful event that brought together experts and researchers from around the world to discuss the latest advancements in big data and social computing. The conference provided a platform for exchanging ideas, sharing experiences, and building collaborations. The papers presented at the conference covered a wide range of topics and demonstrated the potential of big data and social computing to address a wide range of social and economic challenges.

In conclusion, the 7th China National Conference on Big Data and Social Computing was a valuable event that contributed to the development of big data and social computing in China and around the world. The conference provided a platform for exchanging ideas, sharing experiences, and building collaborations. The papers presented at the conference covered a wide range of topics and demonstrated the potential of big data and social computing to address a wide range of social and economic challenges. We look forward to seeing the continued growth and development of this field in the future.

Weight: 617g
Dimension: 235 x 155 (mm)
ISBN-13: 9789811975318
Edition number: 1st ed. 2022