Applications of link prediction in social networks: A review
Link prediction methods anticipate the likelihood of a future connection between two nodes
in a given network. The methods are essential in social networks to infer social interactions …
in a given network. The methods are essential in social networks to infer social interactions …
Temporal link prediction: A unified framework, taxonomy, and review
Dynamic graphs serve as a generic abstraction and description of the evolutionary
behaviors of various complex systems (eg, social networks and communication networks) …
behaviors of various complex systems (eg, social networks and communication networks) …
[HTML][HTML] Transforming digital marketing with generative AI
The current marketing landscape faces challenges in content creation and innovation,
relying heavily on manually created content and traditional channels like social media and …
relying heavily on manually created content and traditional channels like social media and …
[HTML][HTML] Performance optimization of criminal network hidden link prediction model with deep reinforcement learning
The scale of criminal networks (eg drug syndicates and terrorist networks) extends globally
and poses national security threat to many nations as they also tend to be technologically …
and poses national security threat to many nations as they also tend to be technologically …
Hidden link prediction in criminal networks using the deep reinforcement learning technique
Criminal network activities, which are usually secret and stealthy, present certain difficulties
in conducting criminal network analysis (CNA) because of the lack of complete datasets. The …
in conducting criminal network analysis (CNA) because of the lack of complete datasets. The …
A survey on predictions of cyber-attacks utilizing real-time twitter tracing recognition
In recent years, the number of cyber-attacks increased affecting different application types
and targets. Many studies tried to focus on proposing solutions to detect imminent and …
and targets. Many studies tried to focus on proposing solutions to detect imminent and …
Classification of various attacks and their defence mechanism in online social networks: a survey
SR Sahoo, BB Gupta - Enterprise Information Systems, 2019 - Taylor & Francis
Due to the popularity and user friendliness of the Internet, numbers of users of online social
networks (OSNs) and social media have grown significantly. However, globally utilised …
networks (OSNs) and social media have grown significantly. However, globally utilised …
[HTML][HTML] An appropriate and cost-effective hospital recommender system for a patient of rural area using deep reinforcement learning
Insufficient doctors and nurses enable a weak healthcare system in develo** and
undeveloped countries. This study aims to mitigate the demand-supply gap of doctor …
undeveloped countries. This study aims to mitigate the demand-supply gap of doctor …
A location-based orientation-aware recommender system using IoT smart devices and Social Networks
The rapid development of IoT sensors and data provided by Social Networks has
necessitated the fast development of recommender systems as they can be used as a tool to …
necessitated the fast development of recommender systems as they can be used as a tool to …
Link prediction in time-evolving criminal network with deep reinforcement learning technique
The prediction of hidden or missing links in a criminal network, which represent possible
interactions between individuals, is a significant problem. The criminal network prediction …
interactions between individuals, is a significant problem. The criminal network prediction …