Top-K Structural Diversity Search in Large Networks
Summary: Introduces the first top-k structural-diversity search for large networks, ranking users by connected components in their neighborhoods. An incrementally refined upper bound enables pruning, while heuristic evaluation strategies improve scalability across 13 real-world networks. (summarized by gpt-5.6-luna on Jul 24 2026)
Incoming Non-self Citations Over Time
Authors
- 1. Xin Huang (Chinese University of Hong Kong)
- 2. Hong Cheng (Chinese University of Hong Kong)
- 3. Rong-Hua Li (Chinese University of Hong Kong; Shenzhen University)
- 4. Lu Qin (Chinese University of Hong Kong)
- 5. Jeffrey Xu Yu (Chinese University of Hong Kong)
BibTeX Citation
@article{huang_vldb13,
title = {{Top-K Structural Diversity Search in Large Networks}},
author = {Huang, Xin and Cheng, Hong and Li, Rong-Hua and Qin, Lu and Yu, Jeffrey Xu},
journal = {PVLDB},
series = {{VLDB} '13},
volume = {6},
number = {13},
pages = {1618--1629},
doi = {10.14778/2536258.2536272},
url = {https://doi.org/10.14778/2536258.2536272},
year = {2013}
}
Incoming Citations (Sorted by Pagerank)
Showing 5 of 5 citing papers.
| Rank | Citing Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 7,076 | Querying Structural Diversity in Streaming Graphs | 2024 | VLDB | 5.6061365e-05 |
| 9,571 | Efficient Algorithms for Pseudoarboricity Computation in Large Static and Dynamic Graphs | 2024 | VLDB | 5.1571823e-05 |
| 10,513 | Towards Selecting Informative Alternative Relational Query Plans for Database Education | 2026 | SIGMOD | 4.9793485e-05 |
| 10,533 | Scaling Up k-Clique Percolation Community Detection | 2026 | SIGMOD | 4.9793485e-05 |
| 11,599 | Efficient Betweenness Centrality Computation over Large Heterogeneous Information Networks | 2024 | VLDB | 4.9793485e-05 |
Previous
Page 1 / 1
Next
Outgoing Citations (Sorted by Pagerank)
Showing 6 of 6 cited papers.
Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.
| Rank | Cited Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 5 | Optimal Aggregation Algorithms for Middleware [Extended Abstract] | 2001 | PODS | 0.0010679641 |
| 100 | Truss Decomposition in Massive Networks | 2012 | VLDB | 0.00033977856 |
| 838 | Minimal Probing: Supporting Expensive Predicates for Top-k Queries | 2002 | SIGMOD | 0.00013550235 |
| 942 | SPARK: Top-k Keyword Query in Relational Databases | 2007 | SIGMOD | 0.00012956137 |
| 1,145 | Efficient Diversity-Aware Search | 2011 | SIGMOD | 0.00011824078 |
| 1,476 | Diversifying Top-K Results | 2012 | VLDB | 0.00010551487 |
Previous
Page 1 / 1
Next
Semantically Similar Papers
| # | Overall Rank | Paper | Year | Venue |
|---|---|---|---|---|
| 1 | 4,954 | Effective Community Search over Large Star-Schema Heterogeneous Information Networks | 2022 | VLDB |
| 2 | 285 | Local Search of Communities in Large Graphs | 2014 | SIGMOD |
| 3 | 10,565 | Efficient Size-Bounded Community Search, Revisited: Frameworks for Practical Improvements | 2026 | SIGMOD |
| 4 | 2,146 | Maximum Co-located Community Search in Large Scale Social Networks | 2018 | VLDB |
| 5 | 184 | Querying K-Truss Community in Large and Dynamic Graphs | 2014 | SIGMOD |
| 6 | 7,076 | Querying Structural Diversity in Streaming Graphs | 2024 | VLDB |
| 7 | 3,979 | Diversified Top-k Graph Pattern Matching | 2013 | VLDB |
| 8 | 7,150 | Topic-based Community Search over Spatial-Social Networks | 2020 | VLDB |
| 9 | 5,264 | An Optimal and Progressive Approach to Online Search of Top-K Influential Communities | 2018 | VLDB |
| 10 | 1,007 | Influential Community Search in Large Networks | 2015 | VLDB |