Predictive Modeling Techniques of Social Dynamics in Multilayer Social Networks: A Survey

Various techniques involved in analyzing social media data have become an important aspect of research. There is a need for efficient techniques to explore huge amounts of data for information prediction like product rating, political election prediction, viral marketing, and information cascading, etc. Nowadays multilayer social networks offer huge platforms for getting opinion reviews and recommendations about any user-interested topic. In multilayer social networks, multiple users are connected and the relationship between them is represented in different layers indicating different connections and interactions. Network structure is more complex and the social interactions between the individuals are dynamic in nature. This study reviews a thorough overview of multilayer social network predictive modeling methodologies and examines contemporary multilayer social network algorithms that have been published in the literature. In addition, we also discussed various key issues and algorithms to address the issues.