Characterizing Twitter with Respondent-Driven Sampling

  title={Characterizing Twitter with Respondent-Driven Sampling},
  author={Mostafa Salehi and Hamid R. Rabiee and Nasim Nabavi and Shayan Pooya},
  journal={2011 IEEE Ninth International Conference on Dependable, Autonomic and Secure Computing},
Twitter as one of the most important microblogging online social networks has attracted more than 200 million users in recent years. Although there have been several attempts on characterizing the Twitter by using incomplete sampled data, they have not been very successful to estimate the characteristics of the whole network. In this paper, we characterize Twitter by sampling from its social graph and user behaviors through a random walk based sampling technique called Respondent-Driven… CONTINUE READING
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