Bursty and Hierarchical Structure in Streams
Data Mining and Knowledge Discovery
User Mobility for Opportunistic Ad-Hoc Networking
WMCSA '04 Proceedings of the Sixth IEEE Workshop on Mobile Computing Systems and Applications
SIGMETRICS '05 Proceedings of the 2005 ACM SIGMETRICS international conference on Measurement and modeling of computer systems
Access and mobility of wireless PDA users
ACM SIGMOBILE Mobile Computing and Communications Review
Pocket switched networks and human mobility in conference environments
Proceedings of the 2005 ACM SIGCOMM workshop on Delay-tolerant networking
Profiling Computation Jobs in Grid Systems
CCGRID '07 Proceedings of the Seventh IEEE International Symposium on Cluster Computing and the Grid
Crossing over the bounded domain: from exponential to power-law inter-meeting time in MANET
Proceedings of the 13th annual ACM international conference on Mobile computing and networking
Power law and exponential decay of inter contact times between mobile devices
Proceedings of the 13th annual ACM international conference on Mobile computing and networking
Characterizing pairwise inter-contact patterns in delay tolerant networks
Proceedings of the 1st international conference on Autonomic computing and communication systems
Workload dynamics on clusters and grids
The Journal of Supercomputing
Characterizing individual communication patterns
Proceedings of the 15th ACM SIGKDD international conference on Knowledge discovery and data mining
Rhythm and Randomness in Human Contact
ASONAM '10 Proceedings of the 2010 International Conference on Advances in Social Networks Analysis and Mining
On Nonstationarity of Human Contact Networks
ICDCSW '10 Proceedings of the 2010 IEEE 30th International Conference on Distributed Computing Systems Workshops
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We use a counting process representation of the pairwise contact process to analyze pairwise contact patterns. Studying two real-world traces, we find that the pairwise contact patterns have three characteristics. First, human contact patterns are influenced by daily and weekly cycles of activity. Second short time intervals with intensive contact event (bursts) are separated by long periods with few contact events. Third, the pairwise contact process exhibits long range dependence. We introduce a Markov modulated Poisson process (MMPP) as a flexible model for pairwise contact process exhibiting both regular structure and irregular bursts of activity. Using standard statistical techniques, we demonstrate that the proposed model is consistent with the empirical data. Our work has significant implication for mobility modeling and performance analysis in human contact networks.