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On the Predictability of Human Contacts: Influence Factors and the Strength of Stronger Ties

, , and . Proceedings of the 2012 ASE/IEEE International Conference on Social Computing and 2012 ASE/IEEE International Conference on Privacy, Security, Risk and Trust, page 312--321. Washington, DC, USA, IEEE Computer Society, (2012)

Abstract

While the analysis of online social networks is a prominent research topic, offline real-world networks are still not covered extensively. However, their analysis can provide important insights into human behavior. In this paper, we analyze influence factors for link prediction in human contact networks. Specifically, we consider the prediction of new links, and extend it to the analysis of recurring links. Furthermore, we consider the impact of stronger ties for the prediction. The results and insights of the analysis are a first step onto predictability applications for human contact networks.

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On the Predictability of Human Contacts

Links and resources

DOI:
10.1109/SocialCom-PASSAT.2012.49
URL:
BibTeX key:
Scholz:2012:PHC:2411131.2411662
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