Influence blocking maximization on networks: Models, methods and applications
Due to the continuous emergence of various social and trade networks, network influence
analysis has aroused great interest of the researchers. Based on different influence …
analysis has aroused great interest of the researchers. Based on different influence …
Social Network Analysis: A Survey on Process, Tools, and Application
Due to the explosive rise of online social networks, social network analysis (SNA) has
emerged as a significant academic field in recent years. Understanding and examining …
emerged as a significant academic field in recent years. Understanding and examining …
SEI2RS malware propagation model considering two infection rates in cyber–physical systems
Z Yu, H Gao, D Wang, AA Alnuaim, M Firdausi… - Physica A: Statistical …, 2022 - Elsevier
Cyber–physical systems (CPSs) are new types of intelligent systems that integrate
computing, control, and communication technologies, and bridge cyberspace and physical …
computing, control, and communication technologies, and bridge cyberspace and physical …
Hospital preparedness during epidemics using simulation: the case of COVID-19
D Garcia-Vicuña, L Esparza, F Mallor - Central European journal of …, 2022 - Springer
This paper presents a discrete event simulation model to support decision-making for the
short-term planning of hospital resource needs, especially Intensive Care Unit (ICU) beds, to …
short-term planning of hospital resource needs, especially Intensive Care Unit (ICU) beds, to …
The atlas for the aspiring network scientist
M Coscia - arXiv preprint arXiv:2101.00863, 2021 - arxiv.org
Network science is the field dedicated to the investigation and analysis of complex systems
via their representations as networks. We normally model such networks as graphs: sets of …
via their representations as networks. We normally model such networks as graphs: sets of …
[PDF][PDF] Global dynamics of an SIRS model with demographics and transfer from infectious to susceptible on heterogeneous networks
H Hu, X Yuan, L Huang, C Huang - Math. Biosci. Eng, 2019 - aimspress.com
In this paper, by taking full consideration of demographics, transfer from infectious to
susceptible and contact heterogeneity of the individuals, we construct an improved …
susceptible and contact heterogeneity of the individuals, we construct an improved …
Comparison of pandemic intervention policies in several building types using heterogeneous population model
T Lazebnik, A Alexi - Communications in Nonlinear Science and Numerical …, 2022 - Elsevier
In a world where pandemics are a matter of time and increasing urbanization of the world's
population, governments should be prepared with pandemic intervention policies (IPs) to …
population, governments should be prepared with pandemic intervention policies (IPs) to …
The SIQRS propagation model with quarantine on simplicial complexes
Simplicial complexes successfully resolve the limitation of social networks to describe the
spread of infectious diseases in group interactions. However, the effects of quarantines in …
spread of infectious diseases in group interactions. However, the effects of quarantines in …
A security games inspired approach for distributed control of pandemic spread
Pandemics are a source of extensive mortality, economic impairment, and dramatic social
fluctuation. Once a pandemic occurs, policymakers are faced with the highly challenging …
fluctuation. Once a pandemic occurs, policymakers are faced with the highly challenging …
Global stability and optimal control of an SIRS epidemic model on heterogeneous networks
L Chen, J Sun - Physica A: Statistical Mechanics and its Applications, 2014 - Elsevier
In this paper, we consider an SIRS epidemic model with vaccination on heterogeneous
networks. By constructing suitable Lyapunov functions, global stability of the disease-free …
networks. By constructing suitable Lyapunov functions, global stability of the disease-free …