The purpose of this research is to investigate the status and the evolution of the scientific
studies for the effect of social networks on big data and usage of big data for modeling the …

Social media users can be influenced directly by their close relationships, such as their
friends, family, and colleagues. They can also be influenced by those who follow them …

A virtual reality based immersive glasses technology for obtaining primary geography
learning has been proposed, synthesizing a number of latest information technologies …

Traditional recommendation techniques are hindered by the simplicity and sparsity of user-
item interaction data and can be improved by introducing auxiliary information related to …

Under the guidance of the “Dual Carbon” goal, integrated energy supply stations have
gradually become an essential facility for the energy transition. Promoting user repurchase …

Social Media Big Data (SMBD) is widely used to serve the economic and social
development of human beings. However, as a young research and practice field, the …

Sentic computing is a multi-disciplinary approach to sentiment analysis at the crossroads
between affective computing and commonsense computing, which exploits both computer …

Research on sentic computing has received intensive attention in recent years, as indicated
by the increased availability of academic literature. However, despite the growth in literature …

In recent years, there has been a rapid growth of user-generated data in collaborative
tagging (aka folksonomy-based) systems due to the prevailing of Web 2.0 communities. To …

Nowadays classification models have been widely adopted in healthcare, aiming at
supporting practitioners for disease diagnosis and human error reduction. The challenge is …