Chaos最新文献 - Book学术

Epidemic spreading on mixing group with face-to-face interaction. 在面对面互动的混合群体中传播流行病。

IF 2.7 2区数学

Chaos Pub Date : 2024-09-01 DOI: 10.1063/5.0222847

Wenbin Gu, Wenjie Li, Feng Gao, Sheng Su, Zengping Zhang, Xiaoyang Liu, Wei Wang

{"title":"Epidemic spreading on mixing group with face-to-face interaction.","authors":"Wenbin Gu, Wenjie Li, Feng Gao, Sheng Su, Zengping Zhang, Xiaoyang Liu, Wei Wang","doi":"10.1063/5.0222847","DOIUrl":"https://doi.org/10.1063/5.0222847","url":null,"abstract":"The mixing groups gathered in the enclosed space form a complex contact network due to face-to-face interaction, which affects the status and role of different groups in social communication. The intricacies of epidemic spreading in mixing groups are intrinsically complicated. Multiple interactions and transmission add to the difficulties of understanding and forecasting the spread of infectious diseases in mixing groups. Despite the critical relevance of face-to-face interactions in real-world situations, there is a significant lack of comprehensive study addressing the unique issues of mixed groups, particularly those with complex face-to-face interactions. We introduce a novel model employing an agent-based approach to elucidate the nuances of face-to-face interactions within mixing groups. In this paper, we apply a susceptible-infected-susceptible process to mixing groups and integrate a temporal network within a specified time window to distinguish between individual movement patterns and epidemic spreading dynamics. Our findings highlight the significant impact of both the relative size of mixing groups and the groups' mixing patterns on the trajectory of disease spread within the mixing groups. When group sizes differ significantly, high inter-group contact preference limits disease spread. However, if the minority reduces their intra-group preferences while the majority maintains high inter-group contact, disease spread increases. In balanced group sizes, high intra-group contact preferences can limit transmission, but asymmetrically reducing any group's intra-group preference can lead to increased spread.","PeriodicalId":9974,"journal":{"name":"Chaos","volume":null,"pages":null},"PeriodicalIF":2.7,"publicationDate":"2024-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142131985","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"数学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Investigation of transient extreme events in a mutually coupled star network of theoretical Brusselator system. 布鲁塞尔理论系统相互耦合星形网络中瞬态极端事件的研究。

IF 2.7 2区数学

Chaos Pub Date : 2024-09-01 DOI: 10.1063/5.0232021

S V Manivelan, S Sabarathinam, K Thamilmaran, I Manimehan

引用次数: 0

Influence of sinusoidal forcing on the master FitzHugh-Nagumo neuron model and global dynamics of a unidirectionally coupled two-neuron system. 正弦强迫对单向耦合双神经元系统的 FitzHugh-Nagumo 主神经元模型和全局动力学的影响

IF 2.7 2区数学

Chaos Pub Date : 2024-09-01 DOI: 10.1063/5.0219640

Nívea D Bosco, Paulo C Rech, Marcus W Beims, Cesar Manchein

{"title":"Influence of sinusoidal forcing on the master FitzHugh-Nagumo neuron model and global dynamics of a unidirectionally coupled two-neuron system.","authors":"Nívea D Bosco, Paulo C Rech, Marcus W Beims, Cesar Manchein","doi":"10.1063/5.0219640","DOIUrl":"https://doi.org/10.1063/5.0219640","url":null,"abstract":"In this paper, we investigate a seven-parameter, five-dimensional dynamical system, specifically a unidirectional coupling of two FitzHugh-Nagumo neuron models, with one neuron being sinusoidally driven. This master-slave configuration features neuron N1 as the master, subjected to an external sinusoidal electrical current, and neuron N2 as the slave, interacting with N1 through an electrical force. We report numerical results for three distinct scenarios where N1 operates in (i) periodic, (ii) quasiperiodic, and (iii) chaotic regimes. The primary objective is to explore how the dynamics of the master neuron N1 influence the coupled system's behavior. To achieve this, we generated cross sections of the seven-dimensional parameter space, known as parameter planes. Our findings reveal that in the periodic regime of N1, the coupled system exhibits period-adding sequences of Arnold tongue-like structures in the parameter planes. Furthermore, regions of multistability can also be identified in these parameter planes of the coupled system. In the quasiperiodic regime, regions of periodic motion are absent, with only regions of quasiperiodic and chaotic dynamics present. In the chaotic regime of N1, the parameter planes display regions of chaos, hyperchaos, and transient hyperchaos.","PeriodicalId":9974,"journal":{"name":"Chaos","volume":null,"pages":null},"PeriodicalIF":2.7,"publicationDate":"2024-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142281131","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"数学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Motifs-based link prediction for heterogeneous multilayer networks. 基于动机的异构多层网络链接预测。

IF 2.7 2区数学

Chaos Pub Date : 2024-09-01 DOI: 10.1063/5.0218981

Yafang Liu, Jianlin Zhou, An Zeng, Ying Fan, Zengru Di

{"title":"Motifs-based link prediction for heterogeneous multilayer networks.","authors":"Yafang Liu, Jianlin Zhou, An Zeng, Ying Fan, Zengru Di","doi":"10.1063/5.0218981","DOIUrl":"https://doi.org/10.1063/5.0218981","url":null,"abstract":"Link prediction has a wide range of applications in the study of complex networks, and the current research on link prediction based on single-layer networks has achieved fruitful results, while link prediction methods for multilayer networks have to be further developed. Existing research on link prediction for multilayer networks mainly focuses on multiplexed networks with homogeneous nodes and heterogeneous edges, while there are relatively few studies on general multilayer networks with heterogeneous nodes and edges. In this context, this paper proposes a method for heterogeneous multilayer networks based on motifs for link prediction. The method considers not only the effect of heterogeneity of edges on network links but also the effect of heterogeneous and homogeneous nodes on the existence of links between nodes. In addition, we use the role function of nodes to measure the contribution of nodes to form the motifs with links in different layers of the network, thus enabling the prediction of intra- and inter-layer links on heterogeneous multilayer networks. Finally, we apply the method to several empirical networks and find that our method has better link prediction performance than several other link prediction methods on multilayer networks.","PeriodicalId":9974,"journal":{"name":"Chaos","volume":null,"pages":null},"PeriodicalIF":2.7,"publicationDate":"2024-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142139405","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"数学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Local and global dynamics of a prey-predator system with fear, Allee effect, and variable attack rate. 具有恐惧、Allee效应和可变攻击率的捕食者-捕食者系统的局部和全局动态。

IF 2.7 2区数学

Chaos Pub Date : 2024-09-01 DOI: 10.1063/5.0227458

Shri Harine P, Ankit Kumar, Reshma K P

{"title":"Local and global dynamics of a prey-predator system with fear, Allee effect, and variable attack rate.","authors":"Shri Harine P, Ankit Kumar, Reshma K P","doi":"10.1063/5.0227458","DOIUrl":"https://doi.org/10.1063/5.0227458","url":null,"abstract":"Fear prompts prey to adopt risk-averse behaviors, such as reduced foraging activity, increased vigilance, and avoidance of areas with high predator presence, which affects its reproduction. In a real scenario, a population requires a minimum density to avoid extinction, known as an Allee threshold. In light of these biological factors, we propose a predator-prey model with (i) a fear effect in a prey population, (ii) an Allee effect in a predator population, and (iii) a non-constant attack rate that modifies the functional response. We ensured the non-negativity and boundedness of the solutions and examined the local and global stability status for each existing steady state solutions. We investigated some deep dynamical properties of the system by varying different parameters, such as cost of fear in prey and strength of the Allee effect in predators and their mortality rate. In codimension one bifurcations, we observed saddle node, Hopf, homoclinic, and coalescence of two limit cycles. Additionally, codimension two bifurcations were observed, including Bautin and Bogdanov Takens bifurcations. To provide a clearer understanding of these bifurcations, we conducted biparametric analysis involving the fear and Allee parameters, as well as the fear parameter and predator mortality rate. Our investigation shows that cost of fear and strength of Allee strongly influences the survival status of the predator. Furthermore, bistability and tristability reveal that the survival and extinction of predator are dependent on the initial population level. Numerical simulations and graphical illustrations are provided to support and validate our theoretical findings.","PeriodicalId":9974,"journal":{"name":"Chaos","volume":null,"pages":null},"PeriodicalIF":2.7,"publicationDate":"2024-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142281133","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"数学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Effects of spin torque within ferromagnetic infinite medium: The short-wave approximation and Painlevé analysis. 铁磁无限介质中的自旋力矩效应：短波近似和潘列维分析

IF 2.7 2区数学

Chaos Pub Date : 2024-09-01 DOI: 10.1063/5.0212370

Francis T Nguepjouo, Victor K Kuetche, E Tchomgo Felenou

引用次数: 0

Non-Markovian quantum mechanics on comb. 梳状非马尔可夫量子力学

IF 2.7 2区数学

Chaos Pub Date : 2024-09-01 DOI: 10.1063/5.0226335

Alexander Iomin

引用次数: 0

A non-autonomous framework for climate change and extreme weather events increase in a stochastic energy balance model. 随机能量平衡模型中气候变化和极端天气事件增加的非自主框架。

IF 2.7 2区数学

Chaos Pub Date : 2024-09-01 DOI: 10.1063/5.0223309

G Del Sarto, F Flandoli

引用次数: 0

Fractal information dissemination and clustering evolution on social hypernetwork. 社会超网络上的分形信息传播与聚类演化。

IF 2.7 2区数学

Chaos Pub Date : 2024-09-01 DOI: 10.1063/5.0228903

Li Luo, Fuzhong Nian, Yuanlin Cui, Fangfang Li

{"title":"Fractal information dissemination and clustering evolution on social hypernetwork.","authors":"Li Luo, Fuzhong Nian, Yuanlin Cui, Fangfang Li","doi":"10.1063/5.0228903","DOIUrl":"https://doi.org/10.1063/5.0228903","url":null,"abstract":"The complexity of systems stems from the richness of the group interactions among their units. Classical networks exhibit identified limits in the study of complex systems, where links connect pairs of nodes, inability to comprehensively describe higher-order interactions in networks. Higher-order networks can enhance modeling capacities of group interaction networks and help understand and predict network dynamical behavior. This paper constructs a social hypernetwork with a group structure by analyzing a community overlapping structure and a network iterative relationship, and the overlapping relationship between communities is logically separated. Considering the different group behavior pattern and attention focus, we defined the group cognitive disparity, group credibility, group cohesion index, hyperedge strength to study the relationship between information dissemination and network evolution. This study shows that groups can alter the connected network through information propagation, and users in social networks tend to form highly connected groups or communities in information dissemination. Propagation networks with high clustering coefficients promote the fractal information dissemination, which in itself drives the fractal evolution of groups within the network. This study emphasizes the significant role of \"key groups\" with overlapping structures among communities in group network propagation. Real cases provide evidence for the clustering phenomenon and fractal evolution of networks.","PeriodicalId":9974,"journal":{"name":"Chaos","volume":null,"pages":null},"PeriodicalIF":2.7,"publicationDate":"2024-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142281130","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"数学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Multifractal dimension spectrum analysis for nuclear density distribution. 核密度分布的多分形维谱分析。

IF 2.7 2区数学

Chaos Pub Date : 2024-09-01 DOI: 10.1063/5.0213717

Weihu Ma, Yu-Gang Ma, Wanbing He, Bo Zhou

引用次数: 0