DATA ANALYSIS IN PUBLIC SOCIAL NETWORKS

By Lubos Takac. 2012

370 citations recorded by the source corpus.

View Paper: https://www.semanticscholar.org/paper/bcf7b5cef77274ea00a9de1473f80d2705e5a3a1

How researchers see this paper

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

1. Peter Lofgren
2. Siddhartha Banerjee
3. Seshadhri Comandur
4. Derek Lim
5. Felix Hohne
6. Ashish Goel
7. Enyan Dai
8. Vaishnavi Gupta

Citations in the corpus

• Large Scale Learning on Non-Homophilous Graphs: New Benchmarks and Strong Simple Methods (2021, methodology): “• Pokec: We retrieved the data from SNAP; the original source of the data is [40].”
• Say No to the Discrimination: Learning Fair Graph Neural Networks with Limited Sensitive Attribute Information (2020, background): “Pokec [44]: It is the most popular social network in Slovakia, which is very similar to Facebook and Twitter.”
• FAST-PPR: scaling personalized pagerank estimation for large graphs (2014, methodology): “Pokec and Twitter are both social networks in which edges are directed.”