Link Prediction and the Role of Stronger Ties in Networks of Face-to-Face Proximity release_45wxbprhx5d2rdxjk5gexstxvi

by Christoph Scholz, Martin Atzmueller, Gerd Stumme

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2014  

Abstract

Understanding the structures why links are formed is an important and prominent research topic. In this paper, we therefore consider the link prediction problem in face-to-face contact networks, and analyze the predictability of new and recurring links. Furthermore, we study additional influence factors, and the role of stronger ties in these networks. Specifically, we compare neighborhood-based and path-based network proximity measures in a threshold-based analysis for capturing temporal dynamics. The results and insights of the analysis are a first step onto predictability applications for human contact networks, for example, for improving recommendations.
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Date   2014-07-08
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arXiv  1407.2161v1
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