Article
Mathematics, Applied
Wenjie Li, Yanyi Nie, Wenyao Li, Xiaolong Chen, Sheng Su, Wei Wang
Summary: This paper proposes a competing spread model for two epidemics on higher-order networks and analyzesthe factors that affect the spread process. The experimental results show that the difference in 1-simplex infection rates between the two epidemics and the increase in 2-simplex infection rates have significant impacts on the spread process.
Article
Mathematics, Applied
Jun Wang, Shimin Cai, Wei Wang, Tao Zhou
Summary: In this paper, a novel mathematical model is proposed to study the link cooperation effect of two epidemics cooperatively spreading on complex networks. The research findings show that the link cooperation effect promotes the epidemic outbreak size, and the phase transition phenomenon is closely related to the strength of the link cooperation effect and network topology.
APPLIED MATHEMATICS AND COMPUTATION
(2023)
Article
Physics, Multidisciplinary
M. Bellingeri, M. Turchetto, D. Bevacqua, F. Scotognella, R. Alfieri, Q. Nguyen, D. Cassi
Summary: The combination of link removal analysis and SIR models can evaluate the extent of epidemic spreading and effectiveness of non-pharmaceutical interventions, including the temporal dynamics of the epidemic. This approach can help investigate the effects of different interventions applied by government and provide a rational basis for policies to prevent epidemics like SARS-CoV-2.
FRONTIERS IN PHYSICS
(2021)
Article
Multidisciplinary Sciences
Zirou Qiu, Baltazar Espinoza, Vitor V. Vasconcelos, Chen Chen, Sara M. Constantino, Stefani A. Crabtree, Luojun Yang, Anil Vullikanti, Jiangzhuo Chen, Jorgen Weibull, Kaushik Basu, Avinash Dixit, Simon A. Levin, Madhav Marathe
Summary: This study investigates the concurrent spread of disease and mask-wearing behavior over multiplex networks. The proposed framework captures both the competing and complementary relationships between the dueling contagion processes. The results reveal a critical transition in the attack rate of the disease under the coupled disease-behavior dynamics, highlighting the importance of enforcing NPIs.
PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA
(2022)
Article
Physics, Fluids & Plasmas
Mengbin Ye, Lorenzo Zino, Alessandro Rizzo, Ming Cao
Summary: The dynamics of epidemic spread and population behavior are deeply intertwined, with the latter having a critical impact on the outcome of the former. The proposed behavioral-epidemic model offers a unified framework to model and predict complex emergent phenomena, including various collective responses and epidemic outbreaks.
Article
Engineering, Electrical & Electronic
Juntao Chen, Yunhan Huang, Rui Zhang, Quanyan Zhu
Summary: This paper discusses the optimal curing strategy for suppressing competing epidemics spreading over complex networks. By establishing a framework to capture the coupling between two epidemics and analyzing equilibrium states, the paper designs a globally optimized curing strategy and provides structural results on the predictability of epidemic spreading. The robustness of the curing strategy and the application of gradient descent algorithm are also demonstrated in the research.
IEEE TRANSACTIONS ON SIGNAL AND INFORMATION PROCESSING OVER NETWORKS
(2021)
Article
Multidisciplinary Sciences
Stephany Rajeh, Marinette Savonnet, Eric Leclercq, Hocine Cherifi
Summary: This paper investigates the relationship between traditional centrality measures and community-aware centrality measures, showing that the latter perform better in networks with stronger community structures. Network transitivity and community structure strength are identified as the most significant drivers controlling the interactions between classical and community-aware centrality measures.
SCIENTIFIC REPORTS
(2021)
Article
Physics, Multidisciplinary
Iqra Erum, Rauf Ahmed Shams Malick, Ghufran Ahmed, Hocine Cherifi
Summary: This research utilizes digital event datasets to study mass killings, identifies influential actors and their dominant roles in the network, and suggests that removing these actors may help prevent the spread of conflict events.
Article
Physics, Multidisciplinary
Hillel Sanhedrai, Shlomo Havlin
Summary: Epidemics on complex networks have been extensively studied in recent years, primarily due to past pandemic events. Real contact networks are usually dynamic, so much effort has been dedicated to exploring epidemics on evolving networks. In this study, we propose and analyze a model for evolving networks based on varying degrees. We find the epidemic threshold and the probability of disease spread using analytical methods and confirm our results with numerical simulations. Our findings show that the impact of the rewiring rate r differs qualitatively for networks with different degree distributions. We also discover that the extreme vulnerability of static scale-free networks disappears when the networks evolve fully, suggesting the importance of network dynamics in epidemic spreading. Additionally, we determine the epidemic threshold for a general distribution of recovery time.
NEW JOURNAL OF PHYSICS
(2022)
Article
Multidisciplinary Sciences
Kevon Rhiney, Zack Guido, Chris Knudson, Jacques Avelino, Christopher M. Bacon, Gregoire Leclerc, M. Catherine Aime, Daniel P. Bebber
Summary: Recent research on the coffee leaf rust epidemic suggests that the socioeconomic impacts of COVID-19 may lead to another outbreak. Current labor, unemployment, stay-at-home orders, and international border policies could affect farmer investments in coffee plants and create conditions favorable for future shocks. This highlights the vulnerability of the globalized coffee system and the importance of investing in coffee institutions and smallholder welfare to create a more resilient system.
PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA
(2021)
Article
Physics, Multidisciplinary
Aline Viol, Vesna Vuksanovic, Philipp Hoevel
Summary: The study introduces a novel quantity based on information theory called information parity to evaluate the consonance of influence among nodes in networked systems. By evaluating social networks and human brain networks, it shows the potential of information parity in detecting emerging phenomena and identifying central network regions.
PHYSICA A-STATISTICAL MECHANICS AND ITS APPLICATIONS
(2021)
Article
Mathematics, Interdisciplinary Applications
D. Aleja, G. Contreras-Aso, K. Alfaro-Bittner, E. Primo, R. Criado, M. Romance, S. Boccaletti
Summary: In this article, a compartmental model is introduced to study the spread of malware and the awareness of its impact. The model is applied to compare the overall damage caused by malware in different network architectures and scenarios.
CHAOS SOLITONS & FRACTALS
(2022)
Article
Physics, Multidisciplinary
Xuan He, Luyang Wang, Hongbo Zhu, Zheng Liu
Summary: In this study, complex weighted networks for seismicity based on spacetime influence domain were constructed for three different regions. It was found that high-weight links constitute a certain proportion in the networks. The analysis revealed that degree distribution, weight distribution, and nodal strength distribution of the weighted networks follow a power-law distribution, and both unweighted and weighted networks exhibit assortative mixing and hierarchical structures.
PHYSICA A-STATISTICAL MECHANICS AND ITS APPLICATIONS
(2021)
Article
Multidisciplinary Sciences
Barbara C. Klump, John M. Martin, Sonja Wild, Jana K. Hoersch, Richard E. Major, Lucy M. Aplin
Summary: The behavior of wild sulphur-crested cockatoos opening household waste bins in Sydney demonstrates cultural adaptation to urban environments. Analysis of community science reports indicates that this behavior spread through social learning across multiple suburbs in Sydney, showing individual styles and site-specific differences. This example highlights the potential of culture to facilitate adaptive behavioral responses to anthropogenic change.
Article
Engineering, Mechanical
Massimo A. Achterberg, Mattia Sensi
Summary: The interplay between disease spreading and personal risk perception is crucial for modeling the spread of infectious diseases. A planar system of ordinary differential equations (ODEs) is proposed to describe the co-evolution of disease spreading and the average link density in personal contact networks. The model considers the adaptability of the contact network based on the current prevalence of the disease. The study derives the basic reproduction number and proves the existence of at least one endemic equilibrium, as well as the absence of limit cycles for all possible functional responses.
NONLINEAR DYNAMICS
(2023)