Assessing the Bias in Communication Networks Sampled from Twitter

@article{GonzlezBailn2012AssessingTB,
  title={Assessing the Bias in Communication Networks Sampled from Twitter},
  author={Sandra Gonz{\'a}lez-Bail{\'o}n and Ning Wang and Alejandro Rivero and J. Borge-Holthoefer and Y. Moreno},
  journal={ArXiv},
  year={2012},
  volume={abs/1212.1684}
}
We collect and analyse messages exchanged in Twitter using two of the platform's publicly available APIs (the search and stream specifications). We assess the differences between the two samples, and compare the networks of communication reconstructed from them. The empirical context is given by political protests taking place in May 2012: we track online communication around these protests for the period of one month, and reconstruct the network of mentions and re-tweets according to the two… Expand
Nonprobability Sampling and Twitter
Twitter as Data
Crawling Twitter data through API: A technical/legal perspective
Contraction of Online Response to Major Events
...
1
2
3
4
5
...

References

SHOWING 1-10 OF 55 REFERENCES
The Dynamics of Protest Recruitment through an Online Network
Political Polarization on Twitter
Broadcasters and Hidden Influentials in Online Protest Diffusion
The World of Connections and Information Flow in Twitter
Social Networks that matter: Twitter under the Microscope
Geography of Twitter networks
Social Features of Online Networks: The Strength of Intermediary Ties in Online Social Media
Who says what to whom on twitter
Everyone's an influencer: quantifying influence on twitter
...
1
2
3
4
5
...