Research Article
User Contact Behavior Analysis: A Social Relationship Perspective
@INPROCEEDINGS{10.4108/eai.21-6-2018.2276564, author={Peiyan Yuan and Hai Yu and Ping Liu}, title={User Contact Behavior Analysis: A Social Relationship Perspective}, proceedings={11th EAI International Conference on Mobile Multimedia Communications}, publisher={EAI}, proceedings_a={MOBIMEDIA}, year={2018}, month={9}, keywords={mobile opportunistic networks; user contact behavior; social relationship; hotspots}, doi={10.4108/eai.21-6-2018.2276564} }
- Peiyan Yuan
Hai Yu
Ping Liu
Year: 2018
User Contact Behavior Analysis: A Social Relationship Perspective
MOBIMEDIA
EAI
DOI: 10.4108/eai.21-6-2018.2276564
Abstract
Mobile opportunistic networks (MONs) have been attracting increasing amounts of attention in recent years. Characterizing user contact behavior provides a baseline to evaluate the performance of these networks. However, because the contact distribution of nodes in MONs is conventionally modeled from a large-scale perspective, i.e., by aggregating all node pairs, the contact features of nodes with multiple social relationships are not reflected. Thus, it is not clear whether friends and strangers have similar or different contact behaviors. In this study, we aggregated the contact information of users from the real world, and discovered that two phenomena exist: (1) Most friends or strangers make contact at public hotspots, rather than private hotspots; (2) The distribution of intra-contact time (ICT) exhibits different decay factors---the distribution of strangers is predominantly faster than that of friends.