Article
Mathematics
Bing Li, Ziye Xiang
Summary: Vaccines are effective in controlling epidemic spread, but their usage is influenced by factors like disease infectivity and vaccination cost. The SIV-VBR model evaluates the competition between two vaccines based on cost and effectiveness and optimizes individual vaccination decisions. A network with environmental and individual nodes is used to simulate increased infection probability due to aggregation. The results show that vaccine hesitancy reduces population immunity, emphasizing the need for improved vaccine efficiency, affordability, and establishment of core individuals in the network to quickly occupy the market.
Article
Mathematics, Applied
Yajun Mao, Zhihai Rong, Zhi-Xi Wu
Summary: This study examines how individuals' diverse collective influence affects the evolution of cooperation in the evolutionary prisoner's dilemma game on scale-free networks. It suggests that influential cooperators at medium or small degrees are able to spread their behaviors more efficiently among neighbors, promoting the emergence of cooperation. The combination of time scale mechanism plays a crucial role in bridging the feedback between strategy-updating time scale and individual performance.
APPLIED MATHEMATICS AND COMPUTATION
(2021)
Article
Computer Science, Artificial Intelligence
Maysam Orouskhani, Daming Shi, Yasin Orouskhani
Summary: This paper introduces a novel multi-objective evolutionary clustering algorithm based on centrality modularity, which uses node similarity to determine the optimal initial population and structural modularity to automatically determine the optimal number of clusters. Experimental results show that the proposed algorithm outperforms traditional methods in terms of performance.
EXPERT SYSTEMS WITH APPLICATIONS
(2021)
Article
Computer Science, Cybernetics
Dun Han, Xiang Li
Summary: This article incorporates human active characteristics and risk perception into epidemic spreading and explores a comprehensive evolutionary vaccination game. It is proven that unvaccinated individuals can gradually become vaccinated individuals with the increase of connected edges or infection rate. Moreover, the article provides an alternative condition for judging the stability of the game system.
IEEE TRANSACTIONS ON COMPUTATIONAL SOCIAL SYSTEMS
(2023)
Article
Mathematics, Applied
Yikang Lu, Yanan Wang, Yifan Liu, Jie Chen, Lei Shi, Junpyo Park
Summary: The paper investigates how a decision-making rule for vaccination can affect epidemic spreading. By utilizing the Bush-Mosteller model in reinforcement learning on complex networks, the study shows that higher sensitivity leads to higher vaccination coverage rates and delays the transition point from full vaccination to incomplete vaccination.
Article
Engineering, Industrial
Xueyu Meng, Sijie Han, Leilei Wu, Shubin Si, Zhiqiang Cai
Summary: In this paper, a novel SIRV-NI-EG model is established to analyze the evolution of vaccination strategy under the combination of mandatory vaccination and voluntary vaccination. By evaluating node importance and conducting evolutionary game analysis, better evaluation indicators than random vaccination are obtained.
RELIABILITY ENGINEERING & SYSTEM SAFETY
(2022)
Article
Mathematics, Interdisciplinary Applications
Bei Jiang, Lin Yuan, Rongcheng Zou, Rui Su, Yuqiang Mi
Summary: As the pandemic advances and universal immunization keeps slipping worldwide, understanding the mechanism behind this phenomenon is as important as pandemic control. This paper explores how migration patterns affect vaccination in the susceptible-infected-recovery (SIR) model. The study reveals that migration behaviors accelerate the disappearance of vaccinated patches when the mobility rate is below 0.2, leading to a vaccination dilemma. However, the dilemma remains unchanged when the migration rate exceeds 0.2, indicating the importance of controlling migration during the pandemic.
CHAOS SOLITONS & FRACTALS
(2023)
Article
Mathematics, Interdisciplinary Applications
K. M. Ariful Kabir
Summary: The study examines various vaccine effectiveness models and vaccine contact-reduction models under different assessments, as well as explores the concept of dilemma strength (DS) and social efficiency deficit (SED) in the context of social dilemma. The findings have implications for policymakers to address social deficiencies in complex situations.
CHAOS SOLITONS & FRACTALS
(2021)
Article
Physics, Fluids & Plasmas
P. K. Newton, Y. Ma
Summary: The prisoner's dilemma game involves two players who can choose to cooperate or defect, with defection being a stable state but cooperation leading to higher payoffs. An optimal control theory is developed to maximize cooperation over a given cycle time by dynamically altering incentives and penalties. This method, based on Pontryagin's maximum principle, is adaptive and has applications in various fields.
Article
Mathematics, Applied
Chin -Lung Li, Chang-Yuan Cheng, Chun-Hsien Li
Summary: Studying the dynamics of multi-strain models with vaccines is important for understanding the impact of vaccines on contagious diseases. This paper investigates a two-strain epidemic model with a single-strain vaccine in complex networks. By analyzing stability, it is proven that under certain threshold conditions, the disease will die out and the surviving strain can be determined.
NONLINEAR ANALYSIS-REAL WORLD APPLICATIONS
(2023)
Article
Thermodynamics
Xingjun Huang, Yun Lin, Ming K. Lim, Fuli Zhou, Feng Liu
Summary: This research develops a novel agent-based evolutionary game model to investigate the relationship between charging infrastructure and electric vehicle adoption. The study finds that carbon tax policy, electricity prices, and network topology have significant impacts on the diffusion of charging stations and electric vehicles.
Article
Computer Science, Artificial Intelligence
Lijia Ma, Zengyang Shao, Xiaocong Li, Qiuzhen Lin, Jianqiang Li, Victor C. M. Leung, Asoke K. Nandi
Summary: This article proposes an evolutionary deep reinforcement learning algorithm called EDRL-IM for influence maximization in complex networks. By combining evolutionary algorithm and deep reinforcement learning algorithm, EDRL-IM outperforms state-of-the-art methods in finding seed nodes.
IEEE TRANSACTIONS ON EMERGING TOPICS IN COMPUTATIONAL INTELLIGENCE
(2023)
Article
Multidisciplinary Sciences
T. S. Kozitsina, I. Kozitsin, I. S. Menshikov
Summary: This paper proposes a symmetrical quantal response equilibrium (QRE) in the Prisoner's Dilemma game and investigates its properties through comparison with the Nash equilibrium and testing against experimental data. The results suggest that this equilibrium can describe high levels of cooperation and there exists an intersection between Nash and QRE at certain levels of rationality.
SCIENTIFIC REPORTS
(2022)
Article
Mathematics, Applied
Ivan Eryganov, Jaroslav Hrdina
Summary: This paper presents an application of complex Clifford algebra in the representation of quantum prisoner's dilemma. The authors propose a novel modification of the Eisert-Lewenstein-Wilkens protocol to represent a repeated version of the quantum game, allowing the incorporation of entanglement into players' strategies. The use of complex Clifford algebra enables an intuitive representation of the protocol and efficient computation of the resulting payoff functions. The findings provide a new perspective on interpreting entanglement as a measure of information transition between game rounds.
MATHEMATICAL METHODS IN THE APPLIED SCIENCES
(2022)
Article
Physics, Fluids & Plasmas
Kaipeng Hu, Pengyue Wang, Junzhou He, Matjaz Perc, Lei Shi
Summary: This study investigates the interactions among individuals in different populations, finding that interactions across multiple populations can promote the evolution of cooperation depending on the level of interaction asymmetry. If interactions within and between populations are symmetric, the presence of multiple populations alone can promote the evolution of cooperation. Asymmetric interactions can further promote cooperation but at the expense of the coexistence of competing strategies.
Article
Physics, Multidisciplinary
Sergio Faci-Lazaro, Tatiana Lor, Guillermo Rodenas, Juan J. Mazo, Jordi Soriano, Jesus Gomez-Gardenes
Summary: In recent decades, data about the structure of social, technological, and biological systems has provided valuable insights into the mechanisms governing their functionality and robustness. By analyzing interdependent networks composed of two layers of interacting neuronal units, this study reveals that the functionality of these networks does not decrease linearly with damage, but instead, they can increase their level of activity when subjected to sufficiently strong damage.
EUROPEAN PHYSICAL JOURNAL-SPECIAL TOPICS
(2022)
Article
Multidisciplinary Sciences
Benjamin Steinegger, Lluis Arola-Fernandez, Clara Granell, Jesus Gomez-Gardenes, Alex Arenas
Summary: This article investigates the changes in infection among the elderly during the COVID-19 pandemic and provides an explanation based on heterogeneous prophylaxis. The results indicate that the mixing of contacts among different age groups affects the delay in infection peaks and the distribution of cases.
PHILOSOPHICAL TRANSACTIONS OF THE ROYAL SOCIETY A-MATHEMATICAL PHYSICAL AND ENGINEERING SCIENCES
(2022)
Review
Physics, Multidisciplinary
David Soriano-Panos, Wesley Cota, Silvio C. Ferreira, Gourab Ghoshal, Alex Arenas, Jesus Gomez-Gardenes
Summary: This review discusses the spatiotemporal propagation patterns of recent infectious diseases and their influence on human mobility, and explores how to devise policies to prevent the community transmission and subsequent exportation of these diseases to other areas. The article provides an overview of different models, focusing on the movement-interaction-return model and other related frameworks.
ANNALEN DER PHYSIK
(2022)
Article
Mathematics, Applied
A. Reyna-Lara, D. Soriano-Panos, J. H. Arias-Castro, H. J. Martinez, J. Gomez-Gardenes
Summary: By using a mathematical model that incorporates factors such as mosquito competition, cross-contagion between humans and mosquitoes, heterogeneous distribution of human population, and mobility flows, we can identify the most effective areas for releasing Wolbachia-infected mosquitoes to reduce the global prevalence of dengue.
Article
Mathematics, Applied
P. Valganon, D. Soriano-Panos, A. Arenas, J. Gomez-Gardenes
Summary: The analysis of contagion-diffusion processes in metapopulations is a powerful theoretical tool to study how mobility influences the spread of communicable diseases. Incorporating commuting patterns and specific spatial distributions of agents in models can lead to more accurate analysis and calculations of epidemic trajectories and thresholds.
Article
Mathematics, Interdisciplinary Applications
Adriana Reyna-Lara, David Soriano-Panos, Alex Arenas, Jesus Gomez-Gardenes
Summary: The lack of medical treatments and vaccines has made non-pharmaceutical interventions crucial in protecting human lives during the COVID-19 pandemic. A self-organized epidemic model proposes multi-scale control policies that can be adjusted based on the severity of the outbreak. The study highlights the importance of finding a balance between epidemic control and socio-economic costs, and the interconnectedness of non-pharmaceutical interventions at different spatial scales.
CHAOS SOLITONS & FRACTALS
(2022)
Article
Multidisciplinary Sciences
Mozhgan Khanjanianpak, Nahid Azimi-Tafreshi, Alex Arenas, Jesus Gomez-Gardenes
Summary: The behavior of individuals plays a crucial role in controlling the spread of communicable diseases. This study examines the emergence of protective behaviors in response to disease spread, taking into account different social attitudes within the population. The findings shed light on the impact of protection strategies on epidemic thresholds and the conditions under which individuals are motivated to protect themselves.
PHILOSOPHICAL TRANSACTIONS OF THE ROYAL SOCIETY A-MATHEMATICAL PHYSICAL AND ENGINEERING SCIENCES
(2022)
Article
Multidisciplinary Sciences
Mariana Macedo, Laura Lotero, Alessio Cardillo, Ronaldo Menezes, Hugo Barbosa
Summary: This study investigates the systematic discrepancies in urban mobility diversities related to gender and socioeconomic characteristics, leveraging computational, statistical, and information-theoretical approaches. Data from large-scale official travel surveys in three major metropolitan areas in South America reveals general disparities in mobility diversities influenced by gender and socioeconomic factors.
Article
Multidisciplinary Sciences
Francisco Bauza Mingueza, Mario Floria, Jesus Gomez-Gardenes, Alex Arenas, Alessio Cardillo
Summary: This passage discusses the impact of dynamic interactions among vertices in complex networked systems on the outcome of dynamical processes. It presents a study on the persistence of interactions based on a descriptor called temporality to quantify and characterize the similarity of time-varying network snapshots. The effects of the resolution at which interactions take place on temporality are also examined.
SCIENTIFIC REPORTS
(2023)
Article
Public, Environmental & Occupational Health
Benjamin Steinegger, Clara Granell, Giacomo Rapisardi, Sergio Gomez, Joan Matamalas, David Soriano-Panos, Alex Arenas
Summary: This study retrospectively analyzed the initial wave of COVID-19 in Spain to understand the impact of NPIs and their interaction with human behavior. The findings showed that regional measures and individual awareness played a significant role in reducing the disease burden before the nationwide lockdown. Counterfactual scenarios suggested that without the early epidemic response, there would have been more fatalities and hospitalizations.
JMIR PUBLIC HEALTH AND SURVEILLANCE
(2023)
Article
Mathematics, Interdisciplinary Applications
Sergio Faci-Lazaro, Jordi Soriano, Juan Jose Mazo, Jesus Gomez-Gardenes
Summary: Understanding the dynamic behavior of neuronal networks in silico is crucial for tackling the analysis of their biological counterparts and making accurate predictions. We have applied the Master Stability Function to a system of coupled neurons described by the Izhikevich model to determine the conditions for spontaneous activation. Our findings show that average connectivity and noise are important factors in the activation of regular spiking neurons, and these theoretical conditions are well satisfied in numerical simulations of both synthetic and biologically-realistic networks.
CHAOS SOLITONS & FRACTALS
(2023)
Article
Physics, Fluids & Plasmas
Violeta Calleja-Solanas, Nagi Khalil, Jesus Gomez-Gardenes, Emilio Hernandez-Garcia, Sandro Meloni
Summary: The remarkable biodiversity in large ecosystems is a major open question in science that attracts attention from various fields. This study focuses on the challenging task of modeling the stable coexistence of species competing for limited resources. It identifies locality in interactions as a simple mechanism that can lead to stable species coexistence.
Article
Multidisciplinary Sciences
Sayat Mimar, David Soriano-Panos, Alec Kirkley, Hugo Barbosa, Adam Sadilek, Alex Arenas, Jesus Gomez-Gardenes, Gourab Ghoshal
Summary: This study investigates the impact of interurban interactions on urban welfare and utilizes a global mobility network to analyze this impact. The findings suggest that a city's importance in the mobility network and its prosperity indicators are correlated. Additionally, a generative model is proposed to balance the costs and benefits of interurban interactions, revealing differences in flow patterns between developed and developing urban regions.
Article
Physics, Fluids & Plasmas
Fakhteh Ghanbarnejad, Kai Seegers, Alessio Cardillo, Philipp Hovel
Summary: Cooperation and competition between pathogens can influence the number of individuals affected by a coinfection. This coevolutionary model reveals the impact of the evolution of pathogen behavior on the spread of epidemics, as well as the abrupt transitions in epidemic prevalence caused by the evolution of pathogen strategies.
