| 书目名称 | Computational Data and Social Networks |
| 副标题 | 10th International C |
| 编辑 | David Mohaisen,Ruoming Jin |
| 视频video | http://file.papertrans.cn/233/232227/232227.mp4 |
| 丛书名称 | Lecture Notes in Computer Science |
| 图书封面 |  |
| 描述 | This book constitutes the refereed proceedings of the 10th International Conference on Computational Data and Social Networks, CSoNet 2021, which was held online during November 15-17, 2021. The conference was initially planned to take place in Montreal, Quebec, Canada, but changed to an online event due to the COVID-19 pandemic. .The 24 full and 8 short papers included in this book were carefully reviewed and selected from 57 submissions. They were organized in topical sections as follows: Combinatorial optimization and learning; deep learning and applications to complex and social systems; measurements of insight from data; complex networks analytics; special track on fact-checking, fake news and malware detection in online social networks; and special track on information spread in social and data networks. .. . |
| 出版日期 | Conference proceedings 2021 |
| 关键词 | adversarial attacks of network; artificial intelligence; computational methods for social good; compute |
| 版次 | 1 |
| doi | https://doi.org/10.1007/978-3-030-91434-9 |
| isbn_softcover | 978-3-030-91433-2 |
| isbn_ebook | 978-3-030-91434-9Series ISSN 0302-9743 Series E-ISSN 1611-3349 |
| issn_series | 0302-9743 |
| copyright | Springer Nature Switzerland AG 2021 |