Submission Deadline: 31 December 2021 (closed)
Dr. Asadullah Shaikh, Najran University, Saudi Arabia.
Dr. Basit Shahzad, National University of Modern Languages, Islamabad.
Dr. Fahad Alqarni, University of Bisha, Saudi Arabia.
Dr. Kapal Dev, university of johannesburg South Africa.
Rapidly changing human needs and increased data generation by information, use of different communication modes and technological systems give rise to the need of ‘Anticipatory Computing’ paradigm. Due to advances in Information Technology (IT) and domain of Anticipatory Computing, every facet of the public and private sectors is getting effective. The Computing paradigm indicates a technology associated field which is designed to anticipate specific user’s needs and for the well-being of human society in a way to achieve the idea of “serve before you ask.” This phenomenon will create an opportunity as well as challenges in the field of computer science at same time. The recent research direction and rapid development of anticipating intelligence from social networks data bring changes not only to our daily lives but to global business also. Particularly, social network’s big data analysis will reshape the practices of anticipating intelligence from the data and can be effectively used for discovery and management of knowledge.
Social groups are an important part of social networks also considered as a strong pool of smart
• Software engineering for social networks
• Internet of things and cloud computing
• Social network mining and data storage
• Social networks for health care
• Marketing and social networks
• Social networks for communication & Collaboration
• Human interaction in social networks
• Mobile and smartphone applications
• Information and knowledge management
• Benchmark, tools, and empirical studies
• Digital humanities
• Behavioral and economic Computing
• User modeling, privacy, and ethics