The link prediction problem for social networks
CIKM '03 Proceedings of the twelfth international conference on Information and knowledge management
A community based mobility model for ad hoc network research
REALMAN '06 Proceedings of the 2nd international workshop on Multi-hop ad hoc networks: from theory to reality
Opportunistic content distribution in an urban setting
Proceedings of the 2006 SIGCOMM workshop on Challenged networks
The link-prediction problem for social networks
Journal of the American Society for Information Science and Technology
Experiences from measuring human mobility using Bluetooth inquiring devices
MobiEval '07 Proceedings of the 1st international workshop on System evaluation for mobile platforms
Impact of Human Mobility on Opportunistic Forwarding Algorithms
IEEE Transactions on Mobile Computing
How Small Labels Create Big Improvements
PERCOMW '07 Proceedings of the Fifth IEEE International Conference on Pervasive Computing and Communications Workshops
Social network analysis for routing in disconnected delay-tolerant MANETs
Proceedings of the 8th ACM international symposium on Mobile ad hoc networking and computing
Bubble rap: social-based forwarding in delay tolerant networks
Proceedings of the 9th ACM international symposium on Mobile ad hoc networking and computing
Are you moved by your social network application?
Proceedings of the first workshop on Online social networks
IEEE Journal on Selected Areas in Communications - Special issue on stochastic geometry and random graphs for the analysis and designof wireless networks
Modeling spatial and temporal dependencies of user mobility in wireless mobile networks
IEEE/ACM Transactions on Networking (TON)
Social-Greedy: a socially-based greedy routing algorithm for delay tolerant networks
MobiOpp '10 Proceedings of the Second International Workshop on Mobile Opportunistic Networking
Predicting positive and negative links in online social networks
Proceedings of the 19th international conference on World wide web
Know thy neighbor: towards optimal mapping of contacts to social graphs for DTN routing
INFOCOM'10 Proceedings of the 29th conference on Information communications
Predicting human contacts in mobile social networks using supervised learning
Proceedings of the Fourth Annual Workshop on Simplifying Complex Networks for Practitioners
Predicting missing contacts in mobile social networks
WOWMOM '11 Proceedings of the 2011 IEEE International Symposium on a World of Wireless, Mobile and Multimedia Networks
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Experimentally measured contact traces, such as those obtained in a conference setting by using short range wireless sensors, are usually limited with respect to the practical number of sensors that can be deployed as well as the number of available human volunteers. Moreover, most previous experiments in this field can report only partial contact information since not everyone participating in the experiment carries a sensor device. Previously collected contact traces have significantly contributed to the development of more realistic human mobility models. This in turn has influenced proposed routing algorithms for Delay Tolerant Networks where human contacts play a vital role in message delivery. By exploiting time-spatial properties of contact graphs as well as the popularity and social information of mobile nodes, we propose a novel method to reconstruct the missing parts of contact graphs where only a subset of nodes are able to sense contacts.