Computational Data and Social Networks

Explore the fascinating intersection of technology and social dynamics in Computational Data and Social Networks by David Mohaisen. This insightful book is a compilation of the refereed proceedings from the 10th International Conference on Computational Data and Social Networks (CSoNet 2021), held online from November 15-17, 2021. Spanning 390 pages, this first edition published by Springer Nature Switzerland AG delves into critical topics such as fact-checking, fake news, and malware detection within online social networks, alongside the dynamics of information spread in these complex environments. Ideal for researchers and practitioners alike, this book provides a comprehensive overview of current trends and challenges in the field, making it an essential read for anyone interested in the social implications of computational data. Enhance your understanding of these vital issues and their impact on society today.