Measurement and analysis of content diffusion characteristics in opportunity environmentswith Spark

  • Xiao-hong Zhang
  • Kai Qian
  • Jian-ji RenEmail author
  • Zong-pu Jia
  • Tian-peng Jiang
  • Quan Zhang


Opportunity networks provide a chance to offload the tremendous cellular traffic generated by sharing popular content on mobile networks. Analyzing the content spread characteristics in real opportunity environments can discover important clues for traffic offloading decision making. However, relevant published work is very limited since it is not easy to collect data from real environments. In this study, we elaborate the analysis on the dataset collected from a real opportunity environment formed by the users of Xender, which is one of the leading mobile applications for content sharing. To discover content transmission characteristics, scale, speed, and type analyses are implemented on the dataset. The analysis results show that file transmission has obvious periodicity, that only a very small fraction of files spread widely, and that application files have much higher probability to be popular than other files. We also propose a solution to maximize file spread scales, which is very helpful for forecasting popular files. The experimental results verify the effectiveness and usefulness of our solution.

Key words

Content dissemination Device-to-device communication Opportunity network Linear threshold model 


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Compliance with ethics guidelines

Xiao-hong ZHANG, Kai QIAN, Jian-ji REN, Zong-pu JIA, Tian-peng JIANG, and Quan ZHANG declare that they have no conflict of interest.


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Copyright information

© Zhejiang University and Springer-Verlag GmbH Germany, part of Springer Nature 2019

Authors and Affiliations

  1. 1.College of Computer Science and TechnologyHenan Polytechnic UniversityJiaozuoChina
  2. 2.Beijing Anqi Zhilian Technology Co., Ltd.BeijingChina
  3. 3.Department of Computer ScienceWayne State UniversityDetroitUSA

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