Connectivity interplays with age in shaping contagion over networks with vital dynamics

Piccardi, Carlo; Colombo, Alessandro; Casagrandi, Renato

doi:10.1103/physreve.91.022809

Cited by 10 publications

(4 citation statements)

References 34 publications

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“…The existing literature mainly studies the recommendation system from two perspectives: The algorithm improvement view is adopted, but it cannot solve the problem of accuracy if it cannot propose the optimal algorithm [5]. Or adopt an extroverted user perspective to classify the characteristics of users and study the purchase needs of users.…”

Section: Literature Review and Research On Innovative Pointsmentioning

confidence: 99%

SIS dynamic network model based on product semantics from the perspective of infectious disease dynamics

Zhao

2021

E3S Web Conf.

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Recommendation system is unable to achive the optimal algorithm, recommendation system precision problem into bottleneck. Based on the perspective of product marketing, paper takes the inherent attribute as the classification standard and focuses on the core problem of “matching of product classification and recommendation algorithm of users’ purchase demand”. Three hypotheses are proposed: (1) inherent attributes of the product directly affect user demand; (2) classified product is suitable for different recommendation algorithms; (3) recommendation algorithm integration can achieve personalized customization. Based on empirical research on the relationship between characteristics of recommendation information (independent variable) and purchase intention (dependent variable), it is concluded that predictability and difference of recommendation information are not fully perceived and stimulation is insufficient. Therefore, SIS dynamic network model based on the distribution model of SIS virus is constructed. It discusses the spreading path of recommendation information and “infection” situation of consumers to enhance accurate matching of recommendation system.

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Section: Literature Review and Research On Innovative Pointsmentioning

confidence: 99%

SIS dynamic network model based on product semantics from the perspective of infectious disease dynamics

Zhao

2021

E3S Web Conf.

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“…The scale-free properties are not preserved due to removing the hub vertices continually. Just as Moore C. et al [20] and Piccardi C. et al [21] point that the scale-free properties may not preserve in the long run if there is disappearance or death of vertices.…”

Section: Numerical Simulation Of Crisis Spreadingmentioning

confidence: 99%

Crisis Spreading Model of the Shareholding Networks of Listed Companies and Their Main Holders and Their Controllability

2018

Complexity

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Bankruptcy of listed companies or shareholders delisting usually causes the crisis spreading in stock markets. Based on the systematic analysis of the epidemic diseases and rumors spreading on the complex networks, the SIR model is introduced to research the crisis spreading in shareholding networks of listed companies and their main holders on the basis of the data about ownership structure in Chinese Stock Markets. The characteristics of shareholding networks are studied, and the parameters for the SIR model are obtained by empirical approach. Then, the numerical computation method is successfully used to analyze the crisis spreading in the networks when the networks meet random failures or intentional attacks. We find the networks have good robustness against the random failures. However, the crisis will spread at a high speed and cause catastrophic damage if there are some failures or attacks on hub vertices in the networks. Under this condition, the networks show obvious vulnerability. Last but not least, the controllability of the networks under the condition of intentional attacks and random failures is studied. The results show that if the network is controlled globally, it is more reliable to allow a politically good new or an appropriate exciting economical policy to play the role in orienting markets under the control of public opinions as the crisis occurs. However, under normal circumstances, controlling a small part of driver vertices representing listed companies, applying appropriate control strategies, and using its characteristics of high efficiency of sending information can effectively control the stock market. Our research provides a new reference to further exploration about the transmission mechanism of the crisis based SIR model and further research on the controllability of crisis spreading in financial markets.

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“…Jin et al established an SIS heterogeneous mean-feld model with a constant recruitment rate and derived the global dynamics of the model where the new members link to existing nodes randomly [11]. Piccardi et al integrated the birth and death process into the SIRS model on heterogeneous networks and disentangled the underlying causes of the diferent outcomes obtained for SIR and SIRS processes by applying an age-degree model [12]. Based on conditional Markov chain and pairwise approximation, Luo et al…”

Section: Introductionmentioning

confidence: 99%

Epidemic Dynamics in Temporal Clustered Networks with Local-World Structure

Jing

Zhang

2023

Complexity

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Population demography can change the network structure, which further plays an important role in the spreading of infectious disease. In this paper, we study the epidemic dynamics in temporal clustered networks where the local-world structure and clustering are incorporated into the attachment mechanism of new nodes. It is found that increasing the local-world size of new nodes has little influence on the clustering coefficient but increases the degree heterogeneity of networks. Besides, when the network evolves faster, increasing the local-world size of new nodes leads to a faster initial growth rate and a larger steady density of infectious nodes, while it has small impacts on the steady density of infectious disease when the network evolves slowly. Furthermore, if the average degree is fixed, increasing the probability of triad formation p enlarges the clustering coefficient of a network, which reduces the initial growth rate and steady density of infectious nodes in the network. This work could provide a theoretical foundation for the control of infectious disease.

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Connectivity interplays with age in shaping contagion over networks with vital dynamics

Cited by 10 publications

References 34 publications

SIS dynamic network model based on product semantics from the perspective of infectious disease dynamics

SIS dynamic network model based on product semantics from the perspective of infectious disease dynamics

Crisis Spreading Model of the Shareholding Networks of Listed Companies and Their Main Holders and Their Controllability

Epidemic Dynamics in Temporal Clustered Networks with Local-World Structure

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