Google+ Social Networks with Node Attributes
- Evolution of Social-Attribute Networks: Measurements, Modeling, and Implications using Google+
Neil Zhenqiang Gong, Wenchang Xu, Ling Huang, Prateek Mittal, Emil Stefanov, Vyas Sekar, Dawn Song
ACM/USENIX Internet Measurement Conference (IMC), 2012
- Jointly Predicting Links and Inferring Attributes using a Social-Attribute Network (SAN)
Neil Zhenqiang Gong, Ameet Talwalkar, Lester Mackey, Ling Huang, Richard Shin, Emil Stefanov, Elaine Shi, Dawn Song
ACM Workshop on Social Network Mining and Analysis (SNA-KDD), 2012
*Extended version was invited to ACM TIST
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
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 the snapshot in which this directed link first appears.
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 the snapshot in which this link first appears.
Each line corresponds to an attribute. AttriType could be employer, school, major or places_lived.
Reconstructing the tth Snapshot
To obtain the tth snapshot, you should keep all edges whose TimeIDs are less than t, where t=1,2,3,4.
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