Understanding and Managing Cascades on Large Graphs
Summary: Tutorial synthesizing cascade theory, scalable influence-control algorithms (marketing, immunization, competition), and empirical diffusion studies on online networks. Emphasizes intuitive, cross-disciplinary guidance for managing propagation on large graphs. (summarized by gpt-5.6-luna on Jul 24 2026)
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Authors
- 1. B. Aditya Prakash (Carnegie Mellon University)
- 2. Christos Faloutsos (Carnegie Mellon University)
BibTeX Citation
@article{prakash_vldb12,
title = {{Understanding and Managing Cascades on Large Graphs}},
author = {Prakash, B. Aditya and Faloutsos, Christos},
journal = {PVLDB},
series = {{VLDB} '12},
volume = {5},
number = {12},
pages = {2024--2025},
doi = {10.14778/2367502.2367576},
url = {https://doi.org/10.14778/2367502.2367576},
year = {2012}
}
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| Rank | Cited Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 296 | A Data-Based Approach to Social Influence Maximization | 2012 | VLDB | 0.00022220351 |
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