Modelling epidemic spreading in structured organisations

Nonlinear Model of Epidemic Spreading in the Complex Social Network

PsycEXTRA Dataset ◽

10.1037/e666742007-001 ◽

2006 ◽

Author(s):

Robert Kosinski ◽

Andrzej Grabowski

Keyword(s):

Social Network ◽

Nonlinear Model ◽

Epidemic Spreading

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Impact of information diffusion on epidemic spreading in partially mapping two-layered time-varying networks

Nonlinear Dynamics ◽

10.1007/s11071-021-06784-7 ◽

2021 ◽

Vol 105 (4) ◽

pp. 3819-3833

Author(s):

Haili Guo ◽

Qian Yin ◽

Chengyi Xia ◽

Matthias Dehmer

Keyword(s):

Information Diffusion ◽

Time Varying ◽

Epidemic Spreading ◽

Time Varying Networks

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Dynamics of epidemic spreading on connected graphs

Journal of Mathematical Biology ◽

10.1007/s00285-021-01602-5 ◽

2021 ◽

Vol 82 (6) ◽

Author(s):

Christophe Besse ◽

Grégory Faye

Keyword(s):

Epidemic Spreading ◽

Connected Graphs

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Dynamic governance decisions on multi-modal inter-city travel during a large-scale epidemic spreading

Transport Policy ◽

10.1016/j.tranpol.2021.01.008 ◽

2021 ◽

Vol 104 ◽

pp. 29-42

Author(s):

Yunlong An ◽

Xi Lin ◽

Meng Li ◽

Fang He

Keyword(s):

Large Scale ◽

Epidemic Spreading

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Global analysis of epidemic spreading with a general feedback mechanism on complex networks

Advances in Difference Equations ◽

10.1186/s13662-019-2095-3 ◽

2019 ◽

Vol 2019 (1) ◽

Cited By ~ 2

Author(s):

Shouying Huang ◽

Fengde Chen ◽

Yanhong Zhang

Keyword(s):

Complex Networks ◽

Global Analysis ◽

Feedback Mechanism ◽

Epidemic Spreading

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Synergistic Effects in Networked Epidemic Spreading Dynamics

IEEE Transactions on Circuits & Systems II Express Briefs ◽

10.1109/tcsii.2019.2912794 ◽

2020 ◽

Vol 67 (3) ◽

pp. 496-500 ◽

Cited By ~ 3

Author(s):

Masaki Ogura ◽

Wenjie Mei ◽

Kenji Sugimoto

Keyword(s):

Synergistic Effects ◽

Epidemic Spreading ◽

Spreading Dynamics

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Epidemic spreading in lattice-embedded scale-free networks

Physica A Statistical Mechanics and its Applications ◽

10.1016/j.physa.2006.11.023 ◽

2007 ◽

Vol 377 (1) ◽

pp. 125-130 ◽

Cited By ~ 21

Author(s):

Xin-Jian Xu ◽

Zhi-Xi Wu ◽

Guanrong Chen

Keyword(s):

Epidemic Spreading ◽

Scale Free ◽

Scale Free Networks

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Immune-Based Systems on Network Security Situation Awareness and Risk Prediction Model

Applied Mechanics and Materials ◽

10.4028/www.scientific.net/amm.643.99 ◽

2014 ◽

Vol 643 ◽

pp. 99-104

Author(s):

Jin Yang ◽

Yun Jie Li ◽

Qin Li

Keyword(s):

Situation Awareness ◽

Artificial Immune Systems ◽

Epidemic Spreading ◽

State Spaces ◽

Real Time Processing ◽

Network Intrusion ◽

Markov Chain Theory ◽

Proposed Model ◽

Network Risk

In this paper, the process of the developments and changes of the network intrusion behaviors were analyzed. An improved epidemic spreading model was proposed to study the mechanisms of aggressive behaviors spreading, to predict the future course of an outbreak and to evaluate strategies to control a network epidemic. Based on Artificial Immune Systems, the concepts and formal definitions of immune cells were given. And in this paper, the forecasting algorithm based on Markov chain theory was proposed to improve the precision of network risk forecasting. The data of the Memory cells were analyzed directly and kinds of state-spaces were formed, which can be used to predict the risk of network situation by analyzing the cells status and the classification of optimal state. Experimental results show that the proposed model has the features of real-time processing for network situation awareness.

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