Measuring edge importance to improve immunization performance

Huang, He; Yan, Zhijun; Pan, Yaohui

doi:10.1016/j.physa.2014.09.007

Cited by 9 publications

(4 citation statements)

References 36 publications

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“…In 2008, Fu et al [28] came up with an idea that they just took the nodes around the infected nodes into consideration and proved its effectiveness through theory analysis and simulations. Huang et al [29] studied the influence of edge heterogeneity in disease spreading. They proposed an edge importance index based on the gravity model and improved the performance of immunization strategies by measuring the influence of edge heterogeneity for selecting vaccination nodes.…”

mentioning

confidence: 99%

“…They proposed an edge importance index based on the gravity model and improved the performance of immunization strategies by measuring the influence of edge heterogeneity for selecting vaccination nodes. Also, the difference of the infection rates on strong and weak ties is analyzed in [29]. Hadjichrysanthou and Sharkey [30] presented a deterministic SIS model of the dynamics on networks and designed effective targeted intervention strategies to mitigate and control the propagation of infections across heterogeneous contact networks.…”

mentioning

confidence: 99%

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An environment aware epidemic spreading model and immune strategy in complex networks

Qin

Zhong

Jiang

et al. 2015

Applied Mathematics and Computation

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mentioning

confidence: 99%

mentioning

confidence: 99%

An environment aware epidemic spreading model and immune strategy in complex networks

Qin

Zhong

Jiang

et al. 2015

Applied Mathematics and Computation

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“…First, we use the link weight to define the relation closeness level among individuals and study the model with two weight distributions. While there are some other ways to measure the relation intimacy [48,49] and how to measure the relation is also a research issue. Second, as a kind of self-protective actions, rewiring strategy is a complex pattern and affected by many factors.…”

Section: Discussionmentioning

confidence: 99%

Can rewiring strategy control the epidemic spreading?

Dong

Yin

Liu

et al. 2015

Physica A: Statistical Mechanics and its Applications

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h i g h l i g h t s• A novel epidemic spreading model in weighted adaptive network is proposed. • The relation intimacy among individuals is considered in rewiring strategy. • The effect of the modified rewiring strategy is evaluated.• As well as strong links, weak links play an important role in the epidemic spreading. a b s t r a c tRelation existed in the social contact network can affect individuals' behaviors greatly. Considering the diversity of relation intimacy among network nodes, an epidemic propagation model is proposed by incorporating the link-breaking threshold, which is normally neglected in the rewiring strategy. The impact of rewiring strategy on the epidemic spreading in the weighted adaptive network is explored. The results show that the rewiring strategy cannot always control the epidemic prevalence, especially when the link-breaking threshold is low. Meanwhile, as well as strong links, weak links also play a significant role on epidemic spreading.

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“…The literature [29] has pointed out that the common friend between two nodes will increase the way of contact between the two nodes. For example, the common friend invited the two nodes to their birthday party.…”

Section: Rewiring Process Regularmentioning

confidence: 99%

An Epidemic Spreading Model on the Adaptive Dual networks

Zhang¹,

Ning²,

Jin³

et al. 2017

IOSR JHSS

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Information diffusion and disease spreading in awareness-contact layered network are typically asymmetrically coupled with each other, in which how an individual being aware of disease responds to the disease can significantly affect the epidemic spreading. During the two processes above, there will be an adaptive evolution machine in which the diffusion of the disease or the information will lead individual to break or generate the link to avoid infecting the disease or to get more information, and then the link changes will react to the diffusion processes. In this paper, we carry out an epidemic spreading model on the adaptive dual network based on the machine to study the interplay between the two processes. By constructing two adaptive networks, we consider a new link breaking phenomenon on the epidemic spreading process and the heterogeneity of the link breaking probability. The simulation results show that our model will slow down the disease spreading and reduce the infected size. In addition, the homogeneous of the link breaking probability will increase the epidemic threshold.

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Measuring edge importance to improve immunization performance

Cited by 9 publications

References 36 publications

An environment aware epidemic spreading model and immune strategy in complex networks

An environment aware epidemic spreading model and immune strategy in complex networks

Can rewiring strategy control the epidemic spreading?

An Epidemic Spreading Model on the Adaptive Dual networks

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