Journal of Physics Complexity最新文献_第3页

Momentum accelerates evolutionary dynamics 动力加速了进化动态

IF 2.7

Journal of Physics Complexity Pub Date : 2024-06-13 DOI: 10.1088/2632-072x/ad5247

Marc Harper and Joshua Safyan

引用次数: 0

Kinetics of the one-dimensional voter model with long-range interactions 具有长程相互作用的一维选民模型动力学

IF 2.7

Journal of Physics Complexity Pub Date : 2024-06-04 DOI: 10.1088/2632-072x/ad4dfb

Federico Corberi and Claudio Castellano

{"title":"Kinetics of the one-dimensional voter model with long-range interactions","authors":"Federico Corberi and Claudio Castellano","doi":"10.1088/2632-072x/ad4dfb","DOIUrl":"https://doi.org/10.1088/2632-072x/ad4dfb","url":null,"abstract":"The voter model is an extremely simple yet nontrivial prototypical model of ordering dynamics, which has been studied in great detail. Recently, a great deal of activity has focused on long-range statistical physics models, where interactions take place among faraway sites, with a probability slowly decaying with distance. In this paper, we study analytically the one-dimensional long-range voter model, where an agent takes the opinion of another at distance r with probability . The model displays rich and diverse features as α is changed. For α > 3 the behavior is similar to the one of the nearest-neighbor version, with the formation of ordered domains whose typical size grows as until consensus (a fully ordered configuration) is reached. The correlation function between two agents at distance r obeys dynamical scaling with sizeable corrections at large distances , slowly fading away in time. For violations of scaling appear, due to the simultaneous presence of two lengh-scales, the size of domains growing as , and the distance over which correlations extend. For the system reaches a partially ordered stationary state, characterised by an algebraic correlator, whose lifetime diverges in the thermodynamic limit of infinitely many agents, so that consensus is not reached. For a finite system escape towards the fully ordered configuration is finally promoted by development of large distance correlations. In a system of N sites, global consensus is achieved after a time for α > 3, for , and for .","PeriodicalId":53211,"journal":{"name":"Journal of Physics Complexity","volume":"42 1","pages":""},"PeriodicalIF":2.7,"publicationDate":"2024-06-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141252986","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

The small-world effect for interferometer networks 干涉仪网络的小世界效应

IF 2.7

Journal of Physics Complexity Pub Date : 2024-05-27 DOI: 10.1088/2632-072x/ad4c45

Benjamin Krawciw, Lincoln D Carr and Cecilia Diniz Behn

{"title":"The small-world effect for interferometer networks","authors":"Benjamin Krawciw, Lincoln D Carr and Cecilia Diniz Behn","doi":"10.1088/2632-072x/ad4c45","DOIUrl":"https://doi.org/10.1088/2632-072x/ad4c45","url":null,"abstract":"Complex network theory has focused on properties of networks with real-valued edge weights. However, in signal transfer networks, such as those representing the transfer of light across an interferometer, complex-valued edge weights are needed to represent the manipulation of the signal in both magnitude and phase. These complex-valued edge weights introduce interference into the signal transfer, but it is unknown how such interference affects network properties such as small-worldness. To address this gap, we have introduced a small-world interferometer network model with complex-valued edge weights and generalized existing network measures to define the interferometric clustering coefficient, the apparent path length, and the interferometric small-world coefficient. Using high-performance computing resources, we generated a large set of small-world interferometers over a wide range of parameters in system size, nearest-neighbor count, and edge-weight phase and computed their interferometric network measures. We found that the interferometric small-world coefficient depends significantly on the amount of phase on complex-valued edge weights: for small edge-weight phases, constructive interference led to a higher interferometric small-world coefficient; while larger edge-weight phases induced destructive interference which led to a lower interferometric small-world coefficient. Thus, for the small-world interferometer model, interferometric measures are necessary to capture the effect of interference on signal transfer. This model is an example of the type of problem that necessitates interferometric measures, and applies to any wave-based network including quantum networks.","PeriodicalId":53211,"journal":{"name":"Journal of Physics Complexity","volume":"97 1","pages":""},"PeriodicalIF":2.7,"publicationDate":"2024-05-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141170809","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Comparing discriminating abilities of evaluation metrics in link prediction 比较链接预测中评价指标的判别能力

IF 2.7

Journal of Physics Complexity Pub Date : 2024-05-15 DOI: 10.1088/2632-072x/ad46be

Xinshan Jiao, Shuyan Wan, Qian Liu, Yilin Bi, Yan-Li Lee, En Xu, Dong Hao and Tao Zhou

{"title":"Comparing discriminating abilities of evaluation metrics in link prediction","authors":"Xinshan Jiao, Shuyan Wan, Qian Liu, Yilin Bi, Yan-Li Lee, En Xu, Dong Hao and Tao Zhou","doi":"10.1088/2632-072x/ad46be","DOIUrl":"https://doi.org/10.1088/2632-072x/ad46be","url":null,"abstract":"Link prediction aims to predict the potential existence of links between two unconnected nodes within a network based on the known topological characteristics. Evaluation metrics are used to assess the effectiveness of algorithms in link prediction. The discriminating ability of these evaluation metrics is vitally important for accurately evaluating link prediction algorithms. In this study, we propose an artificial network model, based on which one can adjust a single parameter to monotonically and continuously turn the prediction accuracy of the specifically designed link prediction algorithm. Building upon this foundation, we show a framework to depict the effectiveness of evaluating metrics by focusing on their discriminating ability. Specifically, a quantitative comparison in the abilities of correctly discerning varying prediction accuracies was conducted encompassing nine evaluation metrics: Precision, Recall, F1-Measure, Matthews correlation coefficient, balanced precision, the area under the receiver operating characteristic curve (AUC), the area under the precision-recall curve (AUPR), normalized discounted cumulative gain (NDCG), and the area under the magnified receiver operating characteristic. The results indicate that the discriminating abilities of the three metrics, AUC, AUPR, and NDCG, are significantly higher than those of other metrics.","PeriodicalId":53211,"journal":{"name":"Journal of Physics Complexity","volume":"240 1","pages":""},"PeriodicalIF":2.7,"publicationDate":"2024-05-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141060233","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Beyond the aggregated paradigm: phenology and structure in mutualistic networks 超越聚合范式：互惠网络中的物候和结构

IF 2.7

Journal of Physics Complexity Pub Date : 2024-05-13 DOI: 10.1088/2632-072x/ad459e

Clàudia Payrató-Borràs, Carlos Gracia-Lázaro, Laura Hernández and Yamir Moreno

{"title":"Beyond the aggregated paradigm: phenology and structure in mutualistic networks","authors":"Clàudia Payrató-Borràs, Carlos Gracia-Lázaro, Laura Hernández and Yamir Moreno","doi":"10.1088/2632-072x/ad459e","DOIUrl":"https://doi.org/10.1088/2632-072x/ad459e","url":null,"abstract":"Mutualistic relationships, where species interact to obtain mutual benefits, constitute an essential component of natural ecosystems. The use of ecological networks to represent the species and their ecological interactions allows the study of structural and dynamic patterns common to different ecosystems. However, by neglecting the temporal dimension of mutualistic communities, relevant insights into the organization and functioning of natural ecosystems can be lost. Therefore, it is crucial to incorporate empirical phenology -the cycles of species’ activity within a season- to fully understand the impact of temporal variability on network architecture. In this paper, by using empirical datasets together with a set of synthetic models, we propose a framework to characterize the phenology of plant-pollinator communities and assess how it reshapes their portrayal as a network. Analyses of three empirical cases reveal that non-trivial information is missed when representing the network of interactions as static, which leads to overestimating the value of fundamental structural features. We discuss the implications of our findings for mutualistic relationships and intra-guild competition for common resources. We show that recorded interactions and species’ activity duration are pivotal factors in accurately replicating observed patterns within mutualistic communities. Furthermore, our exploration of synthetic models underscores the system-specific character of the mechanisms driving phenology, increasing our understanding of the complexities of natural ecosystems.","PeriodicalId":53211,"journal":{"name":"Journal of Physics Complexity","volume":"46 1","pages":""},"PeriodicalIF":2.7,"publicationDate":"2024-05-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140932613","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

The effect of heterogeneous distributions of social norms on the spread of infectious diseases 社会规范的异质分布对传染病传播的影响

IF 2.7

Journal of Physics Complexity Pub Date : 2024-05-12 DOI: 10.1088/2632-072x/ad459f

Daniele Vilone, Eva Vriens and Giulia Andrighetto

引用次数: 0

Amplitude chimeras and bump states with and without frequency entanglement: a toy model 有频率纠缠和无频率纠缠的振幅嵌合体和凹凸态：一个玩具模型

IF 2.7

Journal of Physics Complexity Pub Date : 2024-05-09 DOI: 10.1088/2632-072x/ad4228

A Provata

{"title":"Amplitude chimeras and bump states with and without frequency entanglement: a toy model","authors":"A Provata","doi":"10.1088/2632-072x/ad4228","DOIUrl":"https://doi.org/10.1088/2632-072x/ad4228","url":null,"abstract":"When chaotic oscillators are coupled in complex networks a number of interesting synchronization phenomena emerge. Notable examples are the frequency and amplitude chimeras, chimera death states, solitary states as well as combinations of these. In a previous study (Provata 2020 <italic toggle=\"yes\">J. Phys. Complex.</italic>\u0000<bold>1</bold> 025006), a toy model was introduced addressing possible mechanisms behind the formation of frequency chimera states. In the present study a variation of the toy model is proposed to address the formation of amplitude chimeras. The proposed oscillatory model is now equipped with an additional 3rd order equation modulating the amplitude of the network oscillators. This way, the single oscillators are constructed as bistable in amplitude and depending on the initial conditions their amplitude may result in one of the two stable fixed points. Numerical simulations demonstrate that when these oscillators are nonlocally coupled in networks, they organize in domains with alternating amplitudes (related to the two fixed points), naturally forming amplitude chimeras. A second extension of this model incorporates nonlinear terms merging amplitude together with frequency, and this extension allows for the spontaneous production of composite amplitude-and-frequency chimeras occurring simultaneously in the network. Moreover the extended model allows to understand the emergence of bump states via the continuous passage from chimera states, when both fixed point amplitudes are positive, to bump states when one of the two fixed points vanishes. The synchronization properties of the network are studied as a function of the system parameters for the case of amplitude chimeras, bump states and composite amplitude-and-frequency chimeras. The proposed mechanisms of creating domains with variable amplitudes and/or frequencies provide a generic scenario for understanding the formation of the complex synchronization phenomena observed in networks of coupled nonlinear and chaotic oscillators.","PeriodicalId":53211,"journal":{"name":"Journal of Physics Complexity","volume":"28 1","pages":""},"PeriodicalIF":2.7,"publicationDate":"2024-05-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140932441","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Spiral wave dynamics in a neuronal network model 神经元网络模型中的螺旋波动动力学

IF 2.7

Journal of Physics Complexity Pub Date : 2024-05-06 DOI: 10.1088/2632-072x/ad42f6

Diogo L M Souza, Fernando S Borges, Enrique C Gabrick, Lucas E Bentivoglio, Paulo R Protachevicz, Vagner dos Santos, Ricardo L Viana, Ibere L Caldas, Kelly C Iarosz, Antonio M Batista and Jürgen Kurths

{"title":"Spiral wave dynamics in a neuronal network model","authors":"Diogo L M Souza, Fernando S Borges, Enrique C Gabrick, Lucas E Bentivoglio, Paulo R Protachevicz, Vagner dos Santos, Ricardo L Viana, Ibere L Caldas, Kelly C Iarosz, Antonio M Batista and Jürgen Kurths","doi":"10.1088/2632-072x/ad42f6","DOIUrl":"https://doi.org/10.1088/2632-072x/ad42f6","url":null,"abstract":"Spiral waves are spatial-temporal patterns that can emerge in different systems as heart tissues, chemical oscillators, ecological networks and the brain. These waves have been identified in the neocortex of turtles, rats, and humans, particularly during sleep-like states. Although their functions in cognitive activities remain until now poorly understood, these patterns are related to cortical activity modulation and contribute to cortical processing. In this work, ,we construct a neuronal network layer based on the spatial distribution of pyramidal neurons. Our main goal is to investigate how local connectivity and coupling strength are associated with the emergence of spiral waves. Therefore, we propose a trustworthy method capable of detecting different wave patterns, based on local and global phase order parameters. As a result, we find that the range of connection radius (R) plays a crucial role in the appearance of spiral waves. For R < 20 µm, only asynchronous activity is observed due to small number of connections. The coupling strength ( ) greatly influences the pattern transitions for higher R, where spikes and bursts firing patterns can be observed in spiral and non-spiral waves. Finally, we show that for some values of R and bistable states of wave patterns are obtained.","PeriodicalId":53211,"journal":{"name":"Journal of Physics Complexity","volume":"19 1","pages":""},"PeriodicalIF":2.7,"publicationDate":"2024-05-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140889414","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

The high-frequency and rare events barriers to neural closures of atmospheric dynamics 大气动力学神经闭合的高频和罕见事件障碍

IF 2.7

Journal of Physics Complexity Pub Date : 2024-04-21 DOI: 10.1088/2632-072x/ad3e59

Mickaël D Chekroun, Honghu Liu, Kaushik Srinivasan and James C McWilliams

引用次数: 0

Taming travel time fluctuations through adaptive stop pooling 通过自适应停靠站集合控制旅行时间波动

IF 2.7

Journal of Physics Complexity Pub Date : 2024-04-10 DOI: 10.1088/2632-072x/ad370a

Charlotte Lotze, Philip Marszal, Malte Schröder, Marc Timme

引用次数: 0