Enabling social applications via decentralized social data management

Nicolas Kourtellis, Jeremy Blackburn, Cristian Borcea, Adriana Iamnitchi

Research output: Contribution to journalArticlepeer-review

3 Scopus citations


An unprecedented information wealth produced by online social networks, further augmented by location/collocation data, is currently fragmented across different proprietary services. Combined, it can accurately represent the social world and enable novel socially aware applications. We present Prometheus, a socially aware peer-to-peer service that collects social information from multiple sources into a multigraph managed in a decentralized fashion on user-contributed nodes, and exposes it through an interface implementing nontrivial social inferences while complying with user-defined access policies. Simulations and experiments on PlanetLab with emulated application workloads show the system exhibits good end-to-end response time, low communication overhead, and resilience to malicious attacks.

Original languageEnglish (US)
Article number1
JournalACM Transactions on Internet Technology
Issue number1
StatePublished - Feb 1 2015

All Science Journal Classification (ASJC) codes

  • Computer Networks and Communications


  • Decentralized social graph
  • Distributed systems
  • P2P networks
  • Social inferences
  • Social sensors
  • Socially aware data management


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