Sirqu
Dynamic Quarantine Defense Model for Online Rumor Propagation Control
Bibliographic Data
| ID | 19169293 |
|---|---|
| Authors | Zhaoli Liu (0000-0002-3641-4470, corresponding author), Tao Qin (0000-0003-4874-2567, Xi'an Jiaotong University), Qindong Sun (0000-0003-2019-7886), Shancang Li (0000-0001-5663-7420, University of the West of England), Houbing Song (0000-0003-2631-9223, Embry–Riddle Aeronautical University), Zhouguo Chen (0000-0002-4063-963X, China Electronics Technology Group Corporation) |
| Year | 2022 |
| Volume | 9 |
| Issue | 6 |
| Pages | 1703-1714 |
| Publication date | 2022-03-31 |
| Peer Reviewed | Yes |
| Open Access | Yes |
| Type | ARTICLE |
| Venue | IEEE Transactions on Computational Social Systems (JOURNAL) |
| Journal identifiers | ISSN: 2329-924X • E-ISSN: 2373-7476 |
| Publisher | Institute of Electrical and Electronics Engineers (PUBLISHER • US) |
| DOI | 10.1109/tcss.2022.3161252 |
| OpenAlex | W4226055292 |
| Language | EN |
| Citations received | 6 |
| References cited | 12 |
Rumors can spread very rapidly through online social networks (OSNs), leading to huge negative impact on human society. Hence, there is an urgent need to develop models that can minimize the spread of rumors. In this article, we propose a novel framework to improve the cost and efficiency of rumor propagation control. First, to reduce the impact of rumor controlling mechanism on users’ normal activities, we introduce a soft dynamic quarantine strategy into rumor propagation control and develop a new propagation model named susceptible-infected-removed-quarantined ignorants-quarantined spreaders (SIRQU) to model and block the rumor propagation in the network. Second, to further improve the control efficiency, we propose an influential node selection algorithm based on discrete particle swarm optimization with an evolutionary search strategy, and the controlling mechanism is only applied on the most influential nodes. Finally, we conduct a series of simulations and experiments on several public datasets and the dataset collected from Sina Weibo to validate the proposed method, and the results show that the proposed method outperfoms the related baseline algorithms
Biology · Computer security · Political science · Quarantine · Rumor · Complex Network Analysis Techniques · Computer Science · Law · Opinion Dynamics and Social Influence · Opportunistic and Delay-Tolerant Networks · Ecology
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| Unique citing works | 6 |
|---|---|
| Citations per year | 2 |
| Citation span | 2023 - 2026 (4) |
| Citation velocity | current |
| Highly cited | No |
| Citation types | Neutral: 6 |