Pub Date : 2025-01-20DOI: 10.1016/j.physa.2025.130355
A.J. Batista-Leyva , D. Hernández-Delfin , Karol Asencio , R.C. Hidalgo , D. Maza
Granular systems subjected to vibrations might exhibit convection due to uneven frictional contacts or unbalanced external perturbations. Gravity’s ubiquitousness in most practical applications makes it the predilected selection to trigger the mentioned imbalance. However, we demonstrate that asymmetric horizontal shaking generates convection in a granular monolayer experimentally and numerically by varying the dimensionless acceleration without gravity influence. Convection is evidenced through non-uniform particle density and granular temperature distributions. Two distinct convection patterns are manifested depending on . Two roles are observed for low values, whereas a four-vortex pattern is displayed when reaches significant values. Results suggest that wall friction influences the resulting convective pattern but is not responsible for global material circulation. Instead, the asymmetry in the energy injection is reflected in asymmetries of the macroscopic gradients of granular temperature, particle density, and momentum transfer, correlating with the overall circulation of the grains.
{"title":"Granular convection in a monolayer induced by asymmetric horizontal oscillations","authors":"A.J. Batista-Leyva , D. Hernández-Delfin , Karol Asencio , R.C. Hidalgo , D. Maza","doi":"10.1016/j.physa.2025.130355","DOIUrl":"10.1016/j.physa.2025.130355","url":null,"abstract":"<div><div>Granular systems subjected to vibrations might exhibit convection due to uneven frictional contacts or unbalanced external perturbations. Gravity’s ubiquitousness in most practical applications makes it the predilected selection to trigger the mentioned imbalance. However, we demonstrate that asymmetric horizontal shaking generates convection in a granular monolayer experimentally and numerically by varying the dimensionless acceleration <span><math><mi>Γ</mi></math></span> without gravity influence. Convection is evidenced through non-uniform particle density and granular temperature distributions. Two distinct convection patterns are manifested depending on <span><math><mi>Γ</mi></math></span>. Two roles are observed for low <span><math><mi>Γ</mi></math></span> values, whereas a four-vortex pattern is displayed when <span><math><mi>Γ</mi></math></span> reaches significant values. Results suggest that wall friction influences the resulting convective pattern but is not responsible for global material circulation. Instead, the asymmetry in the energy injection is reflected in asymmetries of the macroscopic gradients of granular temperature, particle density, and momentum transfer, correlating with the overall circulation of the grains.</div></div>","PeriodicalId":20152,"journal":{"name":"Physica A: Statistical Mechanics and its Applications","volume":"660 ","pages":"Article 130355"},"PeriodicalIF":2.8,"publicationDate":"2025-01-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143156614","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"物理与天体物理","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
In urban environments, vehicles typically travel in platoons due to periodic releases from upstream traffic signals. Consequently, the inter-arrival times of vehicles within a platoon exhibit significant correlations at downstream signalized intersections. To investigate the impact of these correlated arrival characteristics of headways on the queueing process at signalized intersections, this paper proposes a multi-lane stochastic queueing model with periodic vacations based on a continuous-time Markovian arrival process (MAP). We derive the joint probability distribution of queue length, arrival phase, and signal state. This formulation provides an explicit characterization of the randomness and dynamic behavior of the queueing process at signalized intersections. Additionally, we compute performance metrics such as the mean queue length over time in a signal cycle, providing insights into the dynamic evolution of queues under conditions of correlated vehicle arrivals. Furthermore, by the unique structural properties of the MAP, we numerically assess how correlations in the inter-arrival times influence queueing performance at signalized intersections.
{"title":"Numerical modeling of queues at multi-lane signalized intersections with a versatile arrival process","authors":"Qiaoli Yang , Linyan Wei , Zufang Dou , Minhao Xu , Xinyu Kuang","doi":"10.1016/j.physa.2025.130405","DOIUrl":"10.1016/j.physa.2025.130405","url":null,"abstract":"<div><div>In urban environments, vehicles typically travel in platoons due to periodic releases from upstream traffic signals. Consequently, the inter-arrival times of vehicles within a platoon exhibit significant correlations at downstream signalized intersections. To investigate the impact of these correlated arrival characteristics of headways on the queueing process at signalized intersections, this paper proposes a multi-lane stochastic queueing model with periodic vacations based on a continuous-time Markovian arrival process (MAP). We derive the joint probability distribution of queue length, arrival phase, and signal state. This formulation provides an explicit characterization of the randomness and dynamic behavior of the queueing process at signalized intersections. Additionally, we compute performance metrics such as the mean queue length over time in a signal cycle, providing insights into the dynamic evolution of queues under conditions of correlated vehicle arrivals. Furthermore, by the unique structural properties of the MAP, we numerically assess how correlations in the inter-arrival times influence queueing performance at signalized intersections.</div></div>","PeriodicalId":20152,"journal":{"name":"Physica A: Statistical Mechanics and its Applications","volume":"660 ","pages":"Article 130405"},"PeriodicalIF":2.8,"publicationDate":"2025-01-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143156612","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"物理与天体物理","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2025-01-20DOI: 10.1016/j.physa.2025.130395
Jiandong Zhao , Meng Liu , Jin Shen
To comprehensively extract the time series features of average vehicle velocity data on expressways and their correlation with traffic states, this paper proposes a Multi-view Fusion Chebyshev Graph Convolution Network (MvFCGCN) model for accurately recognizing expressway traffic congestion states. Firstly, we propose a weighted fusion method of checkpoint data and radar velocity data to obtain the traffic state feature vectors, mapping them into heat maps in the form of chromatograms to create the Traffic State Feature Image dataset based on Checkpoint-Radar Data Fusion (TSFI-CRDF dataset). Secondly, a Traffic State Deep Clustering Network (TSDCN) model based on multi-view fusion convolutional neural network and variational autoencoder is constructed to automatically classify and label the traffic state feature images in the TSFI-CRDF dataset. Subsequently, the traffic state feature image data is further mapped into graph structure data, and the MvFCGCN model is constructed based on the Chebyshev graph convolutional neural network with integrated view fusion weights for traffic state recognition. Finally, experimental validation is carried out on the example of checkpoint plate recognition data and radar velocity data collected from the Beijing-Qinhuangdao section of the Beijing-Harbin Expressway. Comparative analyses with models such as Convolution and Self-Attention Network (CoAtNet) are performed, as well as ablation experiments, alongside effect analyses of the TSFI-CRDF dataset. The experimental results demonstrate that the MvFCGCN model achieves an overall recognition accuracy of 95.25 %, outperforming other comparison models. The proposed interpolation method for fusion of checkpoints and radar data effectively restores the original velocity feature of the traffic state.
{"title":"Expressway traffic state recognition based on multi-source data fusion and multi-view fusion graph neural network under velocity feature mapping","authors":"Jiandong Zhao , Meng Liu , Jin Shen","doi":"10.1016/j.physa.2025.130395","DOIUrl":"10.1016/j.physa.2025.130395","url":null,"abstract":"<div><div>To comprehensively extract the time series features of average vehicle velocity data on expressways and their correlation with traffic states, this paper proposes a Multi-view Fusion Chebyshev Graph Convolution Network (MvFCGCN) model for accurately recognizing expressway traffic congestion states. Firstly, we propose a weighted fusion method of checkpoint data and radar velocity data to obtain the traffic state feature vectors, mapping them into heat maps in the form of chromatograms to create the Traffic State Feature Image dataset based on Checkpoint-Radar Data Fusion (TSFI-CRDF dataset). Secondly, a Traffic State Deep Clustering Network (TSDCN) model based on multi-view fusion convolutional neural network and variational autoencoder is constructed to automatically classify and label the traffic state feature images in the TSFI-CRDF dataset. Subsequently, the traffic state feature image data is further mapped into graph structure data, and the MvFCGCN model is constructed based on the Chebyshev graph convolutional neural network with integrated view fusion weights for traffic state recognition. Finally, experimental validation is carried out on the example of checkpoint plate recognition data and radar velocity data collected from the Beijing-Qinhuangdao section of the Beijing-Harbin Expressway. Comparative analyses with models such as Convolution and Self-Attention Network (CoAtNet) are performed, as well as ablation experiments, alongside effect analyses of the TSFI-CRDF dataset. The experimental results demonstrate that the MvFCGCN model achieves an overall recognition accuracy of 95.25 %, outperforming other comparison models. The proposed interpolation method for fusion of checkpoints and radar data effectively restores the original velocity feature of the traffic state.</div></div>","PeriodicalId":20152,"journal":{"name":"Physica A: Statistical Mechanics and its Applications","volume":"660 ","pages":"Article 130395"},"PeriodicalIF":2.8,"publicationDate":"2025-01-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143157271","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"物理与天体物理","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2025-01-20DOI: 10.1016/j.physa.2025.130350
Xiaotong Bu , Gaoxia Wang , Ximei Hou
Community structure is one of the important characteristics of complex networks, so it is of great application value to correctly detect community structure in the study of network structure. Nonnegative matrix factorization (NMF) has been proved to be an ideal model of the community detection. Traditional NMF only focuses on the first-order structure (such as adjacency matrix), but does not consider the higher-order structure (such as motif adjacency matrix). However, only considering one of them cannot well represent the global structural characteristics of complex networks. In this paper, we propose a new Mixed-Order Nonnegative Matrix Factorization (MONMF) framework, which can model both first-order and higher-order structures. Previous nonnegative matrix factorization is mostly used in undirected networks, but we will study based on a variety of motif types in directed networks, use motifs to capture higher-order structures in networks, and introduce linear and nonlinear methods to combine the adjacency matrix representing the first-order structure with the motif adjacency matrix representing the higher-order structure to construct a new feature matrix of NMF. At the same time, we introduce the missing edge matrix that characterizes the edgeless connection structure of the network, and gives the expression of the motif adjacency matrix of the three-node open simple motif and the three-node open anchor motif. The MONMF operation is mainly performed on different real networks for open simple motifs and open anchor motifs. Compared with the comparison methods, MONMF can significantly improve the performance of community detection in complex networks.
{"title":"Motif-based mix-order nonnegative matrix factorization for community detection","authors":"Xiaotong Bu , Gaoxia Wang , Ximei Hou","doi":"10.1016/j.physa.2025.130350","DOIUrl":"10.1016/j.physa.2025.130350","url":null,"abstract":"<div><div>Community structure is one of the important characteristics of complex networks, so it is of great application value to correctly detect community structure in the study of network structure. Nonnegative matrix factorization (NMF) has been proved to be an ideal model of the community detection. Traditional NMF only focuses on the first-order structure (such as adjacency matrix), but does not consider the higher-order structure (such as motif adjacency matrix). However, only considering one of them cannot well represent the global structural characteristics of complex networks. In this paper, we propose a new Mixed-Order Nonnegative Matrix Factorization (MONMF) framework, which can model both first-order and higher-order structures. Previous nonnegative matrix factorization is mostly used in undirected networks, but we will study based on a variety of motif types in directed networks, use motifs to capture higher-order structures in networks, and introduce linear and nonlinear methods to combine the adjacency matrix representing the first-order structure with the motif adjacency matrix representing the higher-order structure to construct a new feature matrix of NMF. At the same time, we introduce the missing edge matrix that characterizes the edgeless connection structure of the network, and gives the expression of the motif adjacency matrix of the three-node open simple motif and the three-node open anchor motif. The MONMF operation is mainly performed on different real networks for open simple motifs and open anchor motifs. Compared with the comparison methods, MONMF can significantly improve the performance of community detection in complex networks.</div></div>","PeriodicalId":20152,"journal":{"name":"Physica A: Statistical Mechanics and its Applications","volume":"661 ","pages":"Article 130350"},"PeriodicalIF":2.8,"publicationDate":"2025-01-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143128248","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"物理与天体物理","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2025-01-18DOI: 10.1016/j.physa.2024.130330
Emiliano Álvarez, Juan Gabriel Brida, Leonardo Moreno, Andrés Sosa
This research analyzes the relationship between volatility, traded volume and price in the crypto-assets market. First, the relationship between volatility and traded volume is examined, revealing a positive correlation between the two variables across a large number of crypto-assets. This indicates that increased trading volume coincides with increased volatility in crypto-assets prices, an important attribute in a highly volatile financial market. A wavelet analysis is performed in order to cluster crypto-assets according to their price and/or traded volume. It is found that the two main crypto-assets are in the same cluster when only the price variable is analyzed. However, when adding the traded volume variable to the analysis these two crypto-assets separate. This suggests that Bitcoin and Ethereum have similar behavior in price evolution but when analyzed comprehensively their behavior is heterogeneous. This analysis is carried out using a static approach and the results are contrasted using a dynamic approach by studying the evolution of the clusters over time. The results are important for investors seeking to diversify their trading portfolios with the instantaneous information provided by the market (price and volume). Through understanding the relationship between volatility, traded volume and price, investors can make more informed decisions about where to allocate their capital.
{"title":"Comprehensive analysis of the crypto-assets market through multivariate analysis, clustering, and wavelet decomposition","authors":"Emiliano Álvarez, Juan Gabriel Brida, Leonardo Moreno, Andrés Sosa","doi":"10.1016/j.physa.2024.130330","DOIUrl":"10.1016/j.physa.2024.130330","url":null,"abstract":"<div><div>This research analyzes the relationship between volatility, traded volume and price in the crypto-assets market. First, the relationship between volatility and traded volume is examined, revealing a positive correlation between the two variables across a large number of crypto-assets. This indicates that increased trading volume coincides with increased volatility in crypto-assets prices, an important attribute in a highly volatile financial market. A wavelet analysis is performed in order to cluster crypto-assets according to their price and/or traded volume. It is found that the two main crypto-assets are in the same cluster when only the price variable is analyzed. However, when adding the traded volume variable to the analysis these two crypto-assets separate. This suggests that Bitcoin and Ethereum have similar behavior in price evolution but when analyzed comprehensively their behavior is heterogeneous. This analysis is carried out using a static approach and the results are contrasted using a dynamic approach by studying the evolution of the clusters over time. The results are important for investors seeking to diversify their trading portfolios with the instantaneous information provided by the market (price and volume). Through understanding the relationship between volatility, traded volume and price, investors can make more informed decisions about where to allocate their capital.</div></div>","PeriodicalId":20152,"journal":{"name":"Physica A: Statistical Mechanics and its Applications","volume":"660 ","pages":"Article 130330"},"PeriodicalIF":2.8,"publicationDate":"2025-01-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143157756","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"物理与天体物理","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2025-01-18DOI: 10.1016/j.physa.2025.130378
Guilong Xu , Zhen Yang , Shikun Xie , Shumin Bai , Zishuo Liu
Straight-right lanes (SRL) are commonly used to improve efficiency of intersections considering urban land dimensions. However, straight-through vehicles (STV) could block right-turn vehicles (RTV) crossing the intersection during the red phase on SRL, resulting in not only low efficiency but also more rear-end conflicts. The advent of connected environments enables urban intersections to collect a large variety of data concerning arriving vehicles and provides an opportunity for real time optimization of signal control plans. This technic could be effectively used to dispose the above dilemma. To this end, the present study proposes a part-time protected right-turn signal control (PPRSC) for SRL to enhance safety and efficiency at intersections. A dynamic queue length (DQL) mechanism is proposed to guide PPRSC. This mechanism is dynamically updated at cycle level using an ant colony optimization (ACO) algorithm which takes expected traffic conflicts and potential waiting time into account. The introduced strategy is tested on a field intersection modeled through the cellular automata (CA) model simulation. Results indicate a decrease in expected traffic conflicts of SRL by 15.3 % and speed fluctuation decreased by 10.88 % for RTV. Besides, average speed of RTV increases by 25.5 %, accompanied by a 60.8 % and 65.7 % reduction in traffic delay and average waiting time, respectively. The findings delineate that the developed PPRSC has great potential to enhance both potential safety and efficiency benefits at signalized intersections.
{"title":"Enhancing safety and efficiency of signal intersections: A part-time protected right-turn signal control for straight-right lane in connected environment","authors":"Guilong Xu , Zhen Yang , Shikun Xie , Shumin Bai , Zishuo Liu","doi":"10.1016/j.physa.2025.130378","DOIUrl":"10.1016/j.physa.2025.130378","url":null,"abstract":"<div><div>Straight-right lanes (SRL) are commonly used to improve efficiency of intersections considering urban land dimensions. However, straight-through vehicles (STV) could block right-turn vehicles (RTV) crossing the intersection during the red phase on SRL, resulting in not only low efficiency but also more rear-end conflicts. The advent of connected environments enables urban intersections to collect a large variety of data concerning arriving vehicles and provides an opportunity for real time optimization of signal control plans. This technic could be effectively used to dispose the above dilemma. To this end, the present study proposes a part-time protected right-turn signal control (PPRSC) for SRL to enhance safety and efficiency at intersections. A dynamic queue length (DQL) mechanism is proposed to guide PPRSC. This mechanism is dynamically updated at cycle level using an ant colony optimization (ACO) algorithm which takes expected traffic conflicts and potential waiting time into account. The introduced strategy is tested on a field intersection modeled through the cellular automata (CA) model simulation. Results indicate a decrease in expected traffic conflicts of SRL by 15.3 % and speed fluctuation decreased by 10.88 % for RTV. Besides, average speed of RTV increases by 25.5 %, accompanied by a 60.8 % and 65.7 % reduction in traffic delay and average waiting time, respectively. The findings delineate that the developed PPRSC has great potential to enhance both potential safety and efficiency benefits at signalized intersections.</div></div>","PeriodicalId":20152,"journal":{"name":"Physica A: Statistical Mechanics and its Applications","volume":"661 ","pages":"Article 130378"},"PeriodicalIF":2.8,"publicationDate":"2025-01-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143093332","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"物理与天体物理","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2025-01-18DOI: 10.1016/j.physa.2025.130376
Ming-Yu Li , Chun-Yaung Lu , Chia-Chun Chou
We exploit the moving boundary truncated grid method for the Klein–Kramers and Boltzmann–BGK kinetic equations to approach the problem of thermally activated barrier crossing across non-parabolic barriers with reduced computational effort. The grid truncation algorithm dynamically deactivates the insignificant grid points while the boundary extrapolation procedure explores potentially important portions of phase space. An economized Eulerian framework is established to integrate the kinetic equations in the tailored phase space efficiently. The effects of coupling strength, kinetic model, and potential shape on the escape rate are assessed through direct numerical simulations. Besides, we adapt the Padé approximant approach for non-parabolic barriers by introducing a correction factor into the spatial diffusion asymptote to account for the anharmonicity. The modified Padé approximants are remarkably consistent with the numerical results obtained from the conventional full grid method in underdamped and overdamped regimes, whereas overestimating the rates in the turnover region, even exceeding the upper bound given by the transition-state theory. By contrast, the truncated grid method provides accurate rate estimates in excellent agreement with the full grid benchmarks globally, with negligible relative errors lower than 1.02% for the BGK model and below 0.56% for the Kramers model, while substantially reducing the computational cost. Overall, the truncated grid method has shown great promise as a high-performance scheme for the escape problem.
{"title":"Moving boundary truncated grid method: Application to activated barrier crossing with the Klein–Kramers and Boltzmann–BGK models","authors":"Ming-Yu Li , Chun-Yaung Lu , Chia-Chun Chou","doi":"10.1016/j.physa.2025.130376","DOIUrl":"10.1016/j.physa.2025.130376","url":null,"abstract":"<div><div>We exploit the moving boundary truncated grid method for the Klein–Kramers and Boltzmann–BGK kinetic equations to approach the problem of thermally activated barrier crossing across non-parabolic barriers with reduced computational effort. The grid truncation algorithm dynamically deactivates the insignificant grid points while the boundary extrapolation procedure explores potentially important portions of phase space. An economized Eulerian framework is established to integrate the kinetic equations in the tailored phase space efficiently. The effects of coupling strength, kinetic model, and potential shape on the escape rate are assessed through direct numerical simulations. Besides, we adapt the Padé approximant approach for non-parabolic barriers by introducing a correction factor into the spatial diffusion asymptote to account for the anharmonicity. The modified Padé approximants are remarkably consistent with the numerical results obtained from the conventional full grid method in underdamped and overdamped regimes, whereas overestimating the rates in the turnover region, even exceeding the upper bound given by the transition-state theory. By contrast, the truncated grid method provides accurate rate estimates in excellent agreement with the full grid benchmarks globally, with negligible relative errors lower than 1.02% for the BGK model and below 0.56% for the Kramers model, while substantially reducing the computational cost. Overall, the truncated grid method has shown great promise as a high-performance scheme for the escape problem.</div></div>","PeriodicalId":20152,"journal":{"name":"Physica A: Statistical Mechanics and its Applications","volume":"661 ","pages":"Article 130376"},"PeriodicalIF":2.8,"publicationDate":"2025-01-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143128250","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"物理与天体物理","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2025-01-17DOI: 10.1016/j.physa.2025.130364
Xin Ge , Jian Yang , Xi He , Yue Liu , YiXiang Zhao , Lili Li
Understanding large-scale cooperative behavior among intelligent individuals is one of the greatest challenges faced by scholars in the 21st century. Real-world complexities shape decision-making, influenced by economic and cultural differences, resulting in inconsistent game preferences. Moreover, rational individuals possess the ability to proactively avoid risks. Therefore, the theoretical framework of mixed-games supplemented with an “isolation strategy” is particularly apt for studying the evolution of cooperative behaviors. To delve deeper into the reputation’s role in evolutionary game dynamics among intelligent individuals, this study proposes a third-order reputation mechanism for comprehensive and objective evaluation of behavior strategies. Under this mechanism, when assessing the merits of an individual’s actions, it is essential to consider not only their own behavior strategy but also the external environment, namely, the reputation of both parties in the game. Simulation results indicate that introducing the third-order reputation mechanism in mixed-game evolution significantly promotes cooperative behavior emergence and prosperity.
{"title":"Effects of third-order reputation mechanism on the dynamic evolution of cooperation in mixed-games","authors":"Xin Ge , Jian Yang , Xi He , Yue Liu , YiXiang Zhao , Lili Li","doi":"10.1016/j.physa.2025.130364","DOIUrl":"10.1016/j.physa.2025.130364","url":null,"abstract":"<div><div>Understanding large-scale cooperative behavior among intelligent individuals is one of the greatest challenges faced by scholars in the 21st century. Real-world complexities shape decision-making, influenced by economic and cultural differences, resulting in inconsistent game preferences. Moreover, rational individuals possess the ability to proactively avoid risks. Therefore, the theoretical framework of mixed-games supplemented with an “isolation strategy” is particularly apt for studying the evolution of cooperative behaviors. To delve deeper into the reputation’s role in evolutionary game dynamics among intelligent individuals, this study proposes a third-order reputation mechanism for comprehensive and objective evaluation of behavior strategies. Under this mechanism, when assessing the merits of an individual’s actions, it is essential to consider not only their own behavior strategy but also the external environment, namely, the reputation of both parties in the game. Simulation results indicate that introducing the third-order reputation mechanism in mixed-game evolution significantly promotes cooperative behavior emergence and prosperity.</div></div>","PeriodicalId":20152,"journal":{"name":"Physica A: Statistical Mechanics and its Applications","volume":"660 ","pages":"Article 130364"},"PeriodicalIF":2.8,"publicationDate":"2025-01-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143157313","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"物理与天体物理","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2025-01-17DOI: 10.1016/j.physa.2025.130375
Chunzi Li , Ailian Bian
We investigate multiscale topological characteristics of virtual currency series. By applying detrended fluctuation analysis, we find that for the virtual currency series of interest, they present almost identical long-range correlation behavior. Moreover, we map these time series into complex networks via visibility graph technique. We then construct consecutive graphs from these resultant networks by using the coarse-grained method. Instead of observing low-order interactions, we focus on examine high-order correlations in terms of algebraic topological statistics. Interestingly, we find that the number of a specific order of clique in the renormalized networks exhibits a clearly scaling behavior. Meanwhile, their growth patterns are almost similar for these seemingly different virtual currency series. Our work, for the first time, reveals the role of cliques in shaping topological structures of virtual currency series.
{"title":"Multiscale topological analysis of virtual currency price series","authors":"Chunzi Li , Ailian Bian","doi":"10.1016/j.physa.2025.130375","DOIUrl":"10.1016/j.physa.2025.130375","url":null,"abstract":"<div><div>We investigate multiscale topological characteristics of virtual currency series. By applying detrended fluctuation analysis, we find that for the virtual currency series of interest, they present almost identical long-range correlation behavior. Moreover, we map these time series into complex networks via visibility graph technique. We then construct consecutive graphs from these resultant networks by using the coarse-grained method. Instead of observing low-order interactions, we focus on examine high-order correlations in terms of algebraic topological statistics. Interestingly, we find that the number of a specific order of clique in the renormalized networks exhibits a clearly scaling behavior. Meanwhile, their growth patterns are almost similar for these seemingly different virtual currency series. Our work, for the first time, reveals the role of cliques in shaping topological structures of virtual currency series.</div></div>","PeriodicalId":20152,"journal":{"name":"Physica A: Statistical Mechanics and its Applications","volume":"660 ","pages":"Article 130375"},"PeriodicalIF":2.8,"publicationDate":"2025-01-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143157314","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"物理与天体物理","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2025-01-16DOI: 10.1016/j.physa.2025.130374
Luiz Eduardo Czelusniak , Ivan Talão Martins , Luben Cabezas Gómez , Natan Augusto Vieira Bulgarelli , William Monte Verde , Marcelo Souza de Castro
The pseudopotential and free energy models are two popular extensions of the lattice Boltzmann method for multiphase flows. Until now, they have been developed apart from each other in the literature. However, important questions about whether each method performs better needs to be solved. In this work, we perform a fundamental comparison between both methods through basic numerical tests. This comparison is only possible because we developed a novel approach for controlling the interface thickness in the pseudopotential method independently on the equation of state. In this way, it is possible to compare both methods maintaining the same equilibrium densities, interface thickness, surface tension and equation of state parameters. The well-balanced approach was selected to represent the free energy. We found that the free energy one is more practical to use, as it is not necessary to carry out previous simulations to determine simulation parameters (interface thickness, surface tension, etc.). In addition, the tests proofed that the free energy model is more accurate than the pseudopotential model. Furthermore, the pseudopotential method suffers from a lack of thermodynamic consistency even when applying the corrections proposed in the literature. On the other hand, for both static and dynamic tests we verified that the pseudopotential method was able to simulate lower reduced temperature than the free energy one. We hope that these results will guide authors in the use of each method.
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