Data Delivery Properties of Human Contact Networks

Nishanth Sastry*, D. Manjunath, Karen Sollins, Jon Crowcroft

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

14 Citations (Scopus)


Pocket Switched Networks take advantage of social contacts to opportunistically create data paths over time. This work employs empirical traces to examine the effect of the human contact process on data delivery in such networks. The contact occurrence distribution is found to be highly uneven: contacts between a few node pairs occur too frequently, leading to inadequate mixing in the network, while the majority of contacts occur rarely, but are essential for global connectivity. This distribution of contacts leads to a significant variation in the fraction of node pairs that can be connected over time windows of similar duration. Good time windows tend to have a large clique of nodes that can all reach each other. It is shown that the clustering coefficient of the contact graph over a time window is a good predictor of achievable connectivity. We then examine all successful paths found by flooding and show that though delivery times vary widely, randomly sampling a small number of paths between each source and destination is sufficient to yield a delivery time distribution close to that of flooding over all paths. This result suggests that the rate at which the network can deliver data is remarkably robust to path failures.

Original languageEnglish
Article numberN/A
Pages (from-to)868-880
Number of pages13
JournalIEEE Transactions on Mobile Computing
Issue number6
Publication statusPublished - Jun 2011


  • Pocket Switched Networks
  • human mobility networks
  • flooding
  • statistical properties
  • path failure tolerance


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