Co Authorship Network

Co-authorship networks analyze collaborations among researchers, aiming to understand research trends, identify influential individuals, and predict future collaborations. Current research focuses on applying graph embedding methods, including graph neural networks and techniques like formal concept analysis, to analyze these networks, often incorporating citation data and author attributes to improve prediction accuracy and interpretability. These analyses provide valuable insights into scientific communities, facilitating the identification of key players, emerging research areas, and potential collaborations, ultimately contributing to a more efficient and effective scientific ecosystem.