Back to Search
Start Over
SIR-IM: SIR rumor spreading model with influence mechanism in social networks
- Source :
- Soft Computing. 25:13949-13958
- Publication Year :
- 2020
- Publisher :
- Springer Science and Business Media LLC, 2020.
-
Abstract
- Rumor, with the fast speed of transmission, may bring us panic, even economic loss. Thus, it is significant for us to take effective steps to control the rumor spreading. Unfortunately, most of the existing works ignore that the spreading probability is not a constant, but depends on the number of spreaders currently. That is to say, the more spreaders, the larger spreading probability. In order to overcome this shortcoming, in this paper, we propose a novel susceptible–infected–removed (SIR) rumor spreading model with the influence mechanism, called SIR-IM, which first incorporates the number of current spreaders into the spreading probability. Then, it employs time function to describe the rate of people from spreader to stifler as time goes on. Moreover, we not only derive mean-field equations to describe the dynamics of our SIR model, but also give theoretical analysis. Numerical simulations are conducted on social networks, which show that the influence mechanism can accelerate the rumor spreading.
- Subjects :
- 0209 industrial biotechnology
Mathematical optimization
Computer science
Fast speed
Computational intelligence
02 engineering and technology
Rumor
Theoretical Computer Science
020901 industrial engineering & automation
Time function
Transmission (telecommunications)
0202 electrical engineering, electronic engineering, information engineering
020201 artificial intelligence & image processing
Geometry and Topology
Epidemic model
Constant (mathematics)
Software
Mechanism (sociology)
Subjects
Details
- ISSN :
- 14337479 and 14327643
- Volume :
- 25
- Database :
- OpenAIRE
- Journal :
- Soft Computing
- Accession number :
- edsair.doi...........c6601353cee0a4fe40a578692415173c