Google+ Social Networks with Node Attributes
Papers
If you use our dataset in your papers, please cite the following papers.
Neil Zhenqiang Gong, Wenchang Xu and Dawn Song . "Reciprocity in Social Networks: Measurements, Predictions, and Implications". In arXiv:1302.6309, 2013.
Neil Zhenqiang Gong, Ameet Talwalkar, Lester Mackey, Ling Huang, Eui Chul Richard Shin, Emil Stefanov, Elaine(Runting) Shi and Dawn Song . "Joint Link Prediction and Attribute Inference using a Social-Attribute Network". Accepted by ACM Transaction on Intelligent Systems and Technology (ACM TIST), 2013.
Neil Zhenqiang Gong, Wenchang Xu, Ling Huang, Prateek Mittal, Emil Stefanov, Vyas Sekar and Dawn Song. "Evolution of Social-Attribute Networks: Measurements, Modeling, and Implications using Google+". In ACM/USENIX Internet Measurement Conference (IMC), 2012.
Neil Zhenqiang Gong, Ameet Talwalkar, Lester Mackey, Ling Huang, Eui Chul Richard Shin, Emil Stefanov, Elaine(Runting) Shi and Dawn Song . "Jointly Predicting Links and Inferring Attributes using a Social-Attribute Network (SAN)". In ACM Workshop on Social Network Mining and Analysis (SNA-KDD), 2012.
Dataset Summary
This published dataset consisting of 4 Google+ snapshots is a subset of the dataset studied in our IMC'12 paper. Each snapshot includes both directed social structure and node attributes, which can be represented by the following Social-Attribute Network. Snapshots 3 and 4 were crawled after Google+ was opened to the public.
Table I. Dataset summary
|
#Social nodes |
#Social links |
#Attri nodes |
#Attri links |
Crawled time |
TimeID |
| snapshot 1 |
4,693,129 |
47,130,325 |
991,545 |
3,644,103 |
Jul., 2011 |
0 |
| snapshot 2 |
17,091,929 |
271,915,755 |
3,108,141 |
14,693,125 |
Aug., 2011 |
1 |
| snapshot 3 |
26,244,659 |
410,445,770 |
4,147,389 |
19,344,382 |
Sep., 2011 |
2 |
| snapshot 4 |
28,942,911 |
462,994,069 |
4,443,631 |
20,592,962 |
Oct., 2011 |
3 |
Dataset Format
Directed social structure
UserIDFrom UserIDTo TimeID
Each line corresponds to a directed link. UserIDs are anonimyzed to be integers starting from 0. TimeID is 0, 1, 2 or 3, indicating which snapshot this directed link appears in.
Node attributes
UserID AttriID TimeID
Each line corresponds to an undirected attribute link. AttriID are anonimyzed to be negative integers starting from -1. Again, TimeID is 0, 1, 2 or 3, indicating which snapshot this directed link appears in.
Attributes type
AttriID AttriType
Each line corresponds to an attribute. AttriType could be employer, school, major or places_lived.
Dataset Release Policy
To download the dataset, please send emails to Neil Zhenqiang Gong (sunblaze.gplus@gmail.com) with "[G+ Request]" in the subject. We will tell you the links to download the dataset. In your email, please include the following information (if we
don't know each other).
- Name.
- Affiliation.
- Homepage.
- A short description about what you're going to do with our dataset. Some keywords (e.g., link prediction, attribute inference, evolution) are enough. We don't need to know details.
The information is needed for verification
purpose.
If your papers use our dataset, please cite our papers.
You're not allowed to further distribute the dataset without our permission.
Sending us emails for our dataset implies that you are aware of and agree with the above policies.
