DMP: Illustration of State-of-the-Art Embedding Methods for Social Networks

This project aims to explore state-of-the-art network embedding methods for social network analysis, with a specific focus on link prediction. Using data from the Austrian online newspaper derStandard.at, a follow-network is constructed to represent user interactions. By applying selected network embedding algorithms to this dataset, the goal is to identify the most effective method for predicting links between users. Through this investigation, the aim is to enhance understanding of graph embedding techniques and their applicability in social network analysis tasks.