Name
Abstract | ||
|---|---|---|
The rapid development of information technology has provided a hotbed for rumors, and the study of the characteristics of rumors propagation is essential for taking intervention measures. This paper proposes the NF-S (LIR) model which considers users' behavior and attributes separately at the individual level. The data are collected in the form of a questionnaire, and two sets of experiments are conducted using simulation methods to verify the rationality of the model and predict the effects of different interventions in different scenarios. The mechanism of rumor spreading is studied in our work, and the effects of government interventions are testified in the experiments. |
Year | DOI | Venue |
|---|---|---|
2020 | 10.1109/DSC50466.2020.00041 | 2020 IEEE Fifth International Conference on Data Science in Cyberspace (DSC) |
Keywords | DocType | ISBN |
Rumor propagation,NF-S(LIR),simulation | Conference | 978-1-7281-9559-9 |
Citations | PageRank | References |
1 | 0.35 | 4 |
Authors | ||
6 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Hailiang Chen | 1 | 1 | 0.69 |
| Bin Chen | 2 | 71 | 14.47 |
| Chuan Ai | 3 | 2 | 4.78 |
| Mengna Zhu | 4 | 1 | 0.35 |
| Kaisheng Lai | 5 | 1 | 1.03 |
| Lingnan He | 6 | 3 | 4.51 |