Modeling data dissemination in online social networks: A geographical perspective on bounding network traffic load

Cheng Wang, Shaojie Tang, Lei Yang, Yi Guo, Fan Li, Changjun Jiang

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

12 Citations (Scopus)

Abstract

In this paper, we model the data dissemination in online social networks (OSNs) and study the scaling laws of traffic load. We propose a three-layered system model to formulate data dissemination sessions for social applications in OSNs. The layered model consists of the physical network layer, social relationship layer, and application session layer. By analyzing mutual relevances among these three layers, we investigate the geographical distribution feature of dissemination sessions in OSNs. Based on this, we derive the traffic load of OSNs under a realistic assumption that every source sustains a data generating rate of constant order. To the best of our knowledge, this is the first work to address the issue of traffic load scaling for OSNs by modeling the social data dissemination from a layered perspective.

Original languageEnglish
Title of host publicationMobiHoc 2014 - Proceedings of the 15th ACM International Symposium on Mobile Ad Hoc Networking and Computing
PublisherAssociation for Computing Machinery
Pages53-62
Number of pages10
ISBN (Electronic)9781450326209
DOIs
Publication statusPublished - 11 Aug 2014
Event15th ACM International Symposium on Mobile Ad Hoc Networking and Computing, MobiHoc 2014 - Philadelphia, United States
Duration: 11 Aug 201414 Aug 2014

Publication series

NameProceedings of the International Symposium on Mobile Ad Hoc Networking and Computing (MobiHoc)
Volume11-14-August-2014

Conference

Conference15th ACM International Symposium on Mobile Ad Hoc Networking and Computing, MobiHoc 2014
Country/TerritoryUnited States
CityPhiladelphia
Period11/08/1414/08/14

Keywords

  • Data dissemination
  • Online social networks
  • Scaling laws
  • Traffic load

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