The effect of the forget-remember mechanism on spreading
arXiv:1011.3684 · doi:10.1140/epjb/e2008-00139-4
Abstract
We introduce a new mechanism---the forget-remember mechanism into the spreading process. Equipped with such a mechanism an individual is prone to forget the "message" received and remember the one forgotten, namely switching his state between active (with message) and inactive (without message). The probability of state switch is governed by linear or exponential forget-remember functions of history time which is measured by the time elapsed since the most recent state change. Our extensive simulations reveal that the forget-remember mechanism has significant effects on the saturation of message spreading, and may even lead to a termination of spreading under certain conditions. This finding may shed some light on how to control the spreading of epidemics. It is found that percolation-like phase transitions can occur. By investigating the properties of clusters, formed by connected, active individuals, we may be able to justify the existence of such phase transitions.
15 pages, 15 figures
References in corpus (11)
- Epidemic dynamics on an adaptive network
- Impact of non-Poisson activity patterns on spreading processes
- Threshold effects for two pathogens spreading on a network
- Percolation and Epidemic Thresholds in Clustered Networks
- Risk perception in epidemic modeling
- Spreading gossip in social networks
- Clustering in complex networks. II. Percolation properties
- Immunization of Real Complex Communication Networks
- Damage Spreading and Criticality in Finite Random Dynamical Networks
- Dynamics of Epidemics
- Universal features of information spreading efficiency on -dimensional lattices
Cited by in corpus (3)
- Containing rumors spreading on correlated multiplex networks
- Dynamical phase transition due to preferential cluster growth of collective emotions in online communities
- Quantify Influence of Delay in Opinion Transmission of Opinion Leaders on COVID-19 Information Propagation in the Chinese Sina-microblog