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Understanding the structures why links are formed is an important andprominent research topic. In this paper, we therefore consider the linkprediction problem in face-to-face contact networks, and analyze thepredictability of new and recurring links. Furthermore, we study additionalinfluence factors, and the role of stronger ties in these networks.Specifically, we compare neighborhood-based and path-based network proximitymeasures in a threshold-based analysis for capturing temporal dynamics. Theresults and insights of the analysis are a first step onto predictabilityapplications for human contact networks, for example, for improvingrecommendations.

Link Prediction and the Role of Stronger Ties in Networks of Face-to-Face Proximity