Discovering Your Selling Points: Personalized Social Influential Tags Exploration
Summary: PITEX: target user, select size-k tag set to maximize influence in a SN. NP-hard to approximate; offers a sampling-based framework with (1-ε)/(1+ε) guarantee, plus pruning, exploration, a compact index for scalable exploration on real data. (summarized by gpt-5-nano on Feb 09 2026)
Incoming Non-self Citations Over Time
Authors
- 1. Yuchen Li (National University of Singapore)
- 2. Kian-Lee Tan (National University of Singapore)
- 3. Ju Fan (Renmin University of China)
- 4. Dongxiang Zhang (University of Electronic Science and Technology of China)
BibTeX Citation
@inproceedings{li_sigmod17,
title = {{Discovering Your Selling Points: Personalized Social Influential Tags Exploration}},
author = {Li, Yuchen and Tan, Kian-Lee and Fan, Ju and Zhang, Dongxiang},
series = {{SIGMOD} '17},
booktitle = {Proceedings of the {ACM} {SIGMOD} International Conference on Management of Data},
publisher = {Association for Computing Machinery},
doi = {10.1145/3035918.3035952},
url = {https://dl.acm.org/doi/10.1145/3035918.3035952},
year = {2017}
}
Incoming Citations (Sorted by Pagerank)
Showing 6 of 6 citing papers.
| Rank | Citing Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 4,055 | Real-Time Influence Maximization on Dynamic Social Streams | 2017 | VLDB | 6.8241743e-05 |
| 5,756 | An In-Depth Comparison of s-t Reliability Algorithms over Uncertain Graphs | 2019 | VLDB | 6.002999e-05 |
| 6,346 | CHASSIS: Conformity Meets Online Information Diffusion | 2020 | SIGMOD | 5.8064898e-05 |
| 7,918 | Triangular Stability Maximization by Influence Spread over Social Networks | 2023 | VLDB | 5.4252033e-05 |
| 8,967 | Finding Seeds and Relevant Tags Jointly: For Targeted Influence Maximization in Social Networks | 2018 | SIGMOD | 5.2479495e-05 |
| 9,461 | Sage: A System for Uncertain Network Analysis | 2022 | VLDB | 5.1720952e-05 |
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Outgoing Citations (Sorted by Pagerank)
Showing 9 of 9 cited papers.
Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.
| Rank | Cited Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 199 | Influence Maximization: Near-Optimal Time Complexity Meets Practical Efficiency | 2014 | SIGMOD | 0.00025510476 |
| 320 | Influence Maximization in Near-Linear Time: A Martingale Approach | 2015 | SIGMOD | 0.00021133139 |
| 455 | Stop-and-Stare: Optimal Sampling Algorithms for Viral Marketing in Billion-scale Networks | 2016 | SIGMOD | 0.00017952418 |
| 1,064 | k-Nearest Neighbors in Uncertain Graphs | 2010 | VLDB | 0.00012202916 |
| 1,261 | Distance-Constraint Reachability Computation in Uncertain Graphs | 2011 | VLDB | 0.00011291616 |
| 2,232 | Real-time Targeted Influence Maximization for Online Advertisements | 2015 | VLDB | 8.7958389e-05 |
| 2,309 | Online Topic-Aware Influence Maximization | 2015 | VLDB | 8.6639186e-05 |
| 2,535 | Computing Label-Constraint Reachability in Graph Databases | 2010 | SIGMOD | 8.3296282e-05 |
| 8,529 | Similarity Search and Mining in Uncertain Databases | 2010 | VLDB | 5.3206989e-05 |
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| # | Overall Rank | Paper | Year | Venue |
|---|---|---|---|---|
| 1 | 2,236 | Efficient Network-Aware Search in Collaborative Tagging Sites | 2008 | VLDB |
| 2 | 12,842 | Improved Search for Socially Annotated Data | 2009 | VLDB |
| 3 | 8,988 | Efficient and Effective Algorithms for Revenue Maximization in Social Advertising | 2021 | SIGMOD |
| 4 | 5,203 | Pricing Influential Nodes in Online Social Networks | 2020 | VLDB |
| 5 | 299 | A Data-Based Approach to Social Influence Maximization | 2012 | VLDB |
| 6 | 4,821 | Efficient Location-Aware Influence Maximization | 2014 | SIGMOD |
| 7 | 4,055 | Real-Time Influence Maximization on Dynamic Social Streams | 2017 | VLDB |
| 8 | 2,309 | Online Topic-Aware Influence Maximization | 2015 | VLDB |
| 9 | 2,232 | Real-time Targeted Influence Maximization for Online Advertisements | 2015 | VLDB |
| 10 | 8,967 | Finding Seeds and Relevant Tags Jointly: For Targeted Influence Maximization in Social Networks | 2018 | SIGMOD |