Full Description
This book gathers novel research works that simulate human intelligence in cognitive and non-cognitive tasks like learning, problem-solving, and adaptation. Its focus is on the use of cognitive computational paradigms like neural networks, fuzzy systems, machine learning, cognition, deep learning, and hybrid parameters like neuro-fuzzy computing systems to address and overcome real-world complexities.
The respective chapters highlight recent research advances and promising results obtained in the area of social networks by leveraging novel recommender systems, optimized resources, sustainable networking practices and autonomous decision-making models, and by developing new opportunities to enhance worldwide user interaction. In addition, the contributing authors have dedicated significant research attention to analyzing Big Data on social interactions. In addition, the book has a special focus on state-of-the-art applications that take human-computer interaction and social behavior into consideration.
Given its scope, the book will be of interest and appeal to:
· Information and Communication Technologies [ICT] researchers
· Artificial Intelligence [AI] research communities
· Social Network analysis and online communities
· Community networking and control researchers
· Researchers and practitioners whose work focuses on various aspects of cognitive computing, deep learning, expert systems, etc.
Contents
Computational intelligence and social media and networking systems
Big data and data analytics for large-scale social networks
Automated Social big data analytics approach
Deep learning algorithms to build intelligent and personalized recommender systems
Internet of Cognitive Things
Fuzzy and bio-inspired computing paradigms
Smart data surveillance and security in social network platforms
Digital data management and access control techniques
Cognitive agents for social network applications
Ubiquitous, autonomous and secure recommender systems for social networks
Crowdsourcing and crowd sensing on discussing the contents of the pandemic disease spread like COVID-19
Adaptive neural networks for social networks paradigm
Machine learning and understanding of social big data
Applied soft computing approaches for social network security analysis
Case studies and innovative applications
