In this special issue, we provide an interdisciplinary forum for researchers and practitioners to combat the COVID-19 infodemic. We expect novel research to study the understanding, detection, mitigation, and measurement of the COVID-19 infodemic and potential future outbreaks. To facilitate further research in COVID-19 infodemic, this special issue  welcomes interdisciplinary research articles, new open access datasets, repositories, and benchmarks, broadening research on crisis informatics and its development. 

Network analysis may play a considerable role in the new setup. However, security becomes a major issue when it comes to big data and network analysis in a distributed environment. Therefore, big data analysts, network security experts, and data scientists hold a prominent position in the current era, where data scientists are highly needed and there is a visible shortage in the market. This special issue highlights the challenges and solutions of Deep Learning and Network Security algorithms for Big Data, to improve the effectiveness for data security.