Knowledge discovery and presentation using social media analysis in health domain

The use of social networks has been evolving constantly and on a broad scale. Social network plays a vital role in many application domains where communities can share and exchange ideas, knowledge, and information. The use of social media has increased from 8% to 72% since 2005 in the United States and many social network applications exceeded millions of users, for example, the number of Facebook users has exceeded 1 billion users all over the globe. Numerous problems in social networks are still under examination such as social network modeling and analysis, recommender systems in social networks, sentiment analysis, community detection, and other research challenges. © 2022 Elsevier Inc. All rights reserved.

Coronavirus: A Curse or a bless ?

Nowadays crime is one of the major threats that affect human lives. The current pandemic has a great impact on changing the criminal landscape. Extensive investigations for crime and criminal behaviors have revealed new crime patterns and led to the generation of a large amount of data and relations that need to be presented in a proper model. In this paper, we conduct several experiments on different datasets representing some major cities in the USA to study the effect of the current pandemic on crime types, rates, and intensity which can be used in crime prediction and prevention. we also introduce an ontology model with its underlying description logics as the knowledge representation model to represent crime information. © 2021 Association for Computing Machinery.