Name
Abstract | ||
|---|---|---|
It is quite common that guides are introduced to suppress the information spreading in modern society for different purposes. In this paper, an agent-based model is established to quantitatively analyze the impacts of suppressing guides on information spreading. We find that the spreading threshold depends on the attractiveness of the information and the topology of the social network with no suppressing guides at all. Usually, one would expect that the existence of suppressing guides in the spreading procedure may result in less diffusion of information within the overall network. However, we find that sometimes the opposite is true: the manipulating nodes of suppressing guides may lead to more extensive information spreading when there are audiences with the reversal mind. These results can provide valuable theoretical references to public opinion guidance on various information, e.g., rumor or news spreading. |
Year | DOI | Venue |
|---|---|---|
2015 | 10.1016/j.physa.2015.10.059 | Physica A: Statistical Mechanics and its Applications |
Keywords | Field | DocType |
Information spreading,Reversal psychology,Public opinion guidance,Complex networks | Data science,Social network,Quantum mechanics,Rumor,Attractiveness,Public opinion,Complex network,Mathematics | Journal |
Volume | ISSN | Citations |
444 | 0378-4371 | 2 |
PageRank | References | Authors |
0.47 | 5 | 4 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Jinghong Xu | 1 | 2 | 0.47 |
| Lin Zhang | 2 | 2 | 0.47 |
| Baojun Ma | 3 | 47 | 7.38 |
| Ye Wu | 4 | 7 | 1.87 |