edge weight prediction in weighted signed networks
Edge weight prediction in weighted signed networks is a vital area of research focused on forecasting the strength and polarity of connections within complex systems. This involves leveraging various computational techniques to understand dynamic relationships, predict future interactions, and analyze the underlying structure of networks where connections can be both positive (e.g., friendship) or negative (e.g., antagonism), and vary in intensity.