Leveraging History for Faster Sampling of Online Social Networks
Summary: Introduces CNRW and GNRW, history-aware higher-order random walks that reduce API queries and burn-in when sampling social networks. They provably preserve the baseline walk’s stationary distribution for arbitrary topologies while consistently improving efficiency. (summarized by gpt-5.6-luna on Jul 24 2026)
Incoming Non-self Citations Over Time
Authors
- 1. Zhuojie Zhou (George Washington University)
- 2. Nan Zhang (George Washington University)
- 3. Gautam Das (University of Texas)
BibTeX Citation
@article{zhou_vldb15,
title = {{Leveraging History for Faster Sampling of Online Social Networks}},
author = {Zhou, Zhuojie and Zhang, Nan and Das, Gautam},
journal = {PVLDB},
series = {{VLDB} '15},
volume = {8},
number = {10},
pages = {1034--1045},
doi = {10.14778/2794367.2794373},
url = {https://doi.org/10.14778/2794367.2794373},
year = {2015}
}Incoming Citations (Sorted by Pagerank)
Showing 1 of 1 citing papers.
| Rank | Citing Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 1,958 | A General Framework for Estimating Graphlet Statistics via Random Walk | 2017 | VLDB | 9.4093057e-05 |
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Outgoing Citations (Sorted by Pagerank)
Showing 2 of 2 cited papers.
Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.
| Rank | Cited Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 548 | Graph Summarization with Bounded Error | 2008 | SIGMOD | 0.00016694936 |
| 12,175 | Aggregate Estimation Over a Microblog Platform | 2014 | SIGMOD | 5.093636e-05 |
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