Common Neighbor Completion with Information Entropy for Link Prediction in Social Networks

Today's article comes from the Data Science and Engineering journal. The authors are Zhou et al., from Wuhan University, in China. In this paper, they showcase a new method for "link prediction" in social networks. It's the science of looking at a network and asking: "Given everything we know about how people are connected, where are the links that should exist but don't?"

DOI: 10.1007/s41019-024-00267-6