Computational data and social networks : 9th International Conference, CSoNet 2020, Dallas, TX, USA, December 11-13, 2020, proceedings / Sriram Chellappan, Kim-Kwang Raymond Choo, NhatHai Phan (eds.)
Combinatorial Optimization and Learning -- Computational Methods for Social Good Applications -- NLP and Affective Computing -- Privacy and Security -- Blockchain -- Fact-Checking, Fake News and Malware Detection in Online Social Networks -- Information Spread in Social and Data Networks
Summary
This book constitutes the refereed proceedings of the 9th International Conference on Computational Data and Social Networks, CSoNet 2020, held in Dallas, TX, USA, in December 2020. The 20 full papers were carefully reviewed and selected from 83 submissions. Additionally the book includes 22 special track papers and 3 extended abstracts. The selected papers are devoted to topics such as Combinatorial Optimization and Learning; Computational Methods for Social Good Applications; NLP and Affective Computing; Privacy and Security; Blockchain; Fact-Checking, Fake News and Malware Detection in Online Social Networks; and Information Spread in Social and Data Networks
Notes
International conference proceedings
"The 9th International Conference on Computational Data and Social Networks (CSoNet 2020), held online, is a forum intended to bring high quality researchers, practitioners, and students from a variety offields encompassing interests in massive scale complex data networks and big-data emanating from such networks"--Preface
Bibliography
Includes bibliographical references and index
Notes
Online resource; title from PDF title page (SpringerLink, viewed February 26, 2021)