Sampling Content from Online Social Networks

By Muhammad Bilal Zafar, Parantapa Bhattacharya, Niloy Ganguly, Krishna P. Gummadi, Saptarshi Ghosh. 2015

44 citations recorded by the source corpus.

Subfields: Information Systems, Sociology and Political Science, Statistical and Nonlinear Physics

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Information Systems

1. Fernando Diaz
2. Alexandra Olteanu
3. Carlos Castillo
4. Emre Kıcıman
5. Hamed Zamani
6. Jimmy J. Lin
7. W. Bruce Croft
8. Nick Craswell

In Sociology and Political Science

1. Alexandra Olteanu
2. Fernando Diaz
3. Carlos Castillo
4. Emre Kıcıman
5. Gabriella Kazai
6. Ricardo A. Baeza-Yates
7. Muhammad Imran
8. Angelina Wang

In Statistical and Nonlinear Physics

1. Alexandra Olteanu
2. Fernando Diaz
3. Carlos Castillo
4. Emre Kıcıman
5. Muhammad Imran

Citations in the corpus

• Social Data: Biases, Methodological Pitfalls, and Ethical Boundaries (2019, background): “For instance, Bhattacharya et al. (2014) found that on Twitter “expert” users tend to create content mainly on their topic of expertise, while Zafar et al. (2015) show how focusing the sampling of content on “expert” users biases the resulting sample toward more trustworthy and high-quality content.”