Signal propagation in complex networks
Signal propagation in complex networks drives epidemics, is responsible for information
going viral, promotes trust and facilitates moral behavior in social groups, enables the …
going viral, promotes trust and facilitates moral behavior in social groups, enables the …
[图书][B] A guide to temporal networks
N Masuda, R Lambiotte - 2016 - World Scientific
A network is a collection of nodes and edges, where an edge connects two nodes. Many
social, natural and engineered systems can be represented as networks. Examples include …
social, natural and engineered systems can be represented as networks. Examples include …
Modeling communicable diseases, human mobility, and epidemics: A review
The spatiotemporal propagation patterns of recent infectious diseases, originated as
localized epidemic outbreaks and eventually becoming global pandemics, are highly …
localized epidemic outbreaks and eventually becoming global pandemics, are highly …
Analysis, prediction, and control of epidemics: A survey from scalar to dynamic network models
During the ongoing COVID-19 pandemic, mathematical models of epidemic spreading have
emerged as powerful tools to produce valuable predictions of the evolution of the pandemic …
emerged as powerful tools to produce valuable predictions of the evolution of the pandemic …
[HTML][HTML] Dynamical analysis of a discrete-time SIS epidemic model on complex networks
X Wang, Z Wang, H Shen - Applied Mathematics Letters, 2019 - Elsevier
In this letter, a discrete SIS (susceptible–infected–susceptible) epidemic model on complex
networks is presented. Firstly, the non-negativity and the boundedness of solutions are …
networks is presented. Firstly, the non-negativity and the boundedness of solutions are …
Equivalence and its invalidation between non-Markovian and Markovian spreading dynamics on complex networks
Epidemic spreading processes in the real world depend on human behaviors and,
consequently, are typically non-Markovian in that the key events underlying the spreading …
consequently, are typically non-Markovian in that the key events underlying the spreading …
Nonlinearity+ networks: A 2020 vision
MA Porter - Emerging frontiers in nonlinear science, 2020 - Springer
I briefly survey several fascinating topics in networks and nonlinearity. I highlight a few
methods and ideas, including several of personal interest, that I anticipate to be especially …
methods and ideas, including several of personal interest, that I anticipate to be especially …
[HTML][HTML] Modelling: understanding pandemics and how to control them
New disease challenges, societal demands and better or novel types of data, drive
innovations in the structure, formulation and analysis of epidemic models. Innovations in …
innovations in the structure, formulation and analysis of epidemic models. Innovations in …
Active and inactive quarantine in epidemic spreading on adaptive activity-driven networks
We consider an epidemic process on adaptive activity-driven temporal networks, with
adaptive behavior modeled as a change in activity and attractiveness due to infection. By …
adaptive behavior modeled as a change in activity and attractiveness due to infection. By …
Cognitive and scalable technique for securing IoT networks against malware epidemics
The sheer volume of IoT networks being deployed today presents a major “attack surface”
and poses significant security risks at a scale never encountered before. In other words, a …
and poses significant security risks at a scale never encountered before. In other words, a …