Computer Laboratory Systems Research Group

Project SFE: Impact of Social Network Structures in Opportunistic Networks

Project SFE

EU FP7 Recognition Project

EU FP7 Socialnets Project













The project SFE (Social-based Forwarding Evaluation) aims at studying a series of measurement results of social-based forwarding (e.g. BUBBLE) in various opportunistic network settings ranging from synthetic small world networks to real world contact networks. The measurement is done using Xen based network simulator originated from the EU FP6 Haggle project 2006-2010: Autonomic Opportunistic Communications. The complex network structures include a network with nested/hierarchical community structure, small/large number of flat community structure, scale free network character and so forth. This work identifies better forwarding strategy among different social-based forwarding algorithms in opportunistic networks. This work is part of EU FP7 RECOGNITION project and EU FP7 Socialnets project.

This project includes following tasks:

  1. Implementation of social-based forwarding.
  2. Building time series of synthetic networks.
  3. Scale up Xen based simulator to 100s of nodes.

 Source Code Repository


 Related Publications

  • P. Hui, J. Crowcroft, and E. Yoneki BUBBLE Rap: Social Based Forwarding in Delay Tolerant Networks. 9th ACM International Symposium on Mobile Ad Hoc Networking and Computing (MobiHoc), HongKong, May, 2008 (PDF version).
  • E. Yoneki, P. Hui, and J. Crowcroft Distinct Types of Hubs in Human Dynamic Networks. EuroSys Workshop on Social Network Systems, Glasgow UK, April, 2008 (PDF version).
  • P. Hui, E. Yoneki, S. Chan and J. Crowcroft  Distributed Community Detection in Delay Tolerant Networks.  ACM SIGCOMM Workshop (MOBIARCH), Kyoto, Japan, August, 2007. (PDF version)
  • Interest dissemination in a searchable data-centric opportunistic network. Fredrik Bjurefors, Per Gunningberg, Erik Nordström and Christian Rohner. European Wireless Conference: EW 2010, pp 889-895, IEEE, Piscataway, 2010.  (PDF version)


  • Ning Wang

  • Jon Crowcroft

  • Eiko Yoneki

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