Haoxiang Xia | Dalian University of Technology (original) (raw)
Papers by Haoxiang Xia
Around 80% of global trade by volume is transported by sea, and thus the maritime transportation ... more Around 80% of global trade by volume is transported by sea, and thus the maritime transportation system is fundamental to the world economy. To better exploit new international shipping routes, we need to understand the current ones and their complex systems association with international trade. We investigate the structure of the global liner shipping network (GLSN), finding it is an economic small-world network with a trade-off between high transportation efficiency and low wiring cost. To enhance understanding of this trade-off, we examine the modular segregation of the GLSN; we study provincial-, connector-hub ports and propose the definition of gateway-hub ports, using three respective structural measures. The gateway-hub structural-core organization seems a salient property of the GLSN, which proves importantly associated to network integration and function in realizing the cargo transportation of international trade. This finding offers new insights into the GLSN's struct...
arXiv: Physics and Society, 2016
The study of human mobility patterns is of both theoretical and practical values in many aspects.... more The study of human mobility patterns is of both theoretical and practical values in many aspects. For long-distance travels, a few research endeavors have shown that the displacements of human travels follow the power-law distribution. However, controversies remain in the issue of the scaling law of human mobility in intra-urban areas. In this work we focus on the mobility pattern of taxi passengers by examining five datasets of the three metropolitans of New York, Dalian and Nanjing. Through statistical analysis, we find that the lognormal distribution with a power-law tail can best approximate both the displacement and the duration time of taxi trips, as well as the vacant time of taxicabs, in all the examined cities. The universality of scaling law of human mobility is subsequently discussed, in accordance with the data analytics.
The ant-based clustering technique has been proven a promising technique for the data clustering ... more The ant-based clustering technique has been proven a promising technique for the data clustering problems. However, when applying to text clustering, in many cases the standard ant-based text clustering technique is not satisfactory, partly due to the limitations of the usually adopted VSM-based similarity measure between documents. To address this, a novel ant-based text clustering algorithm is proposed, which utilizes ontology-supported edge-counting-based semantic similarity measure. First stage experiment to test the usefulness and the performance of the proposed algorithm is also reported in the paper.
Bulletin of the American Physical Society, 2019
ArXiv, 2020
Many empirical networks are intrinsically pluralistic, with interactions occurring within groups ... more Many empirical networks are intrinsically pluralistic, with interactions occurring within groups of arbitrary agents. Then the agent in the network can be influenced by types of neighbors, common examples include similarity, opposition, and negligibility. Although the influence of neighbors can be described as an amicable and antagonistic relationship in complex real-world systems accurately, and the research on the dynamic process of public opinion evolution with different types of influence is valuable, few studies have mentioned that issue. In this paper, we develop a novel model on networks of agents with the bi-directional bounded thresholds for studying the evolution of opinion dynamics. We define the scope of individual assimilation and exclusion to identify different types of neighbors and calculate the impact of the corresponding neighbors on the individuals by converting the opinion difference. The simulation results show that the proposed mechanism can effectively explain...
Royal Society Open Science, 2020
Maritime shipping is a backbone of international trade and, thus, the world economy. Cargo-loaded... more Maritime shipping is a backbone of international trade and, thus, the world economy. Cargo-loaded vessels travel from one country's port to another via an underlying port-to-port transport network, contributing to international trade values of countries en route. We hypothesize that ports that involve trans-shipment activities serve as a third-party broker to mediate trade between two foreign countries and contribute to the corresponding country's status in international trade. We test this hypothesis using a port-level dataset of global liner shipping services. We propose two indices that quantify the importance of countries in the global liner shipping network and show that they explain a large amount of variation in individual countries' international trade values and related measures. These results support a long-standing view in maritime economics, which has yet to be directly tested, that countries that are strongly integrated into the global maritime transportatio...
Appl. Math. Comput., 2021
Neighborhood size is an important factor in the spatial prisoner’s dilemma game. Traditional stat... more Neighborhood size is an important factor in the spatial prisoner’s dilemma game. Traditional static interaction range does not adapt to the dynamic social environment. Therefore, it is necessary to study the adaptive adjustment mechanism of the interaction range. In order to enhance the adaptability of individuals to the dynamic social environment, in this paper we propose an interaction range adjustment mechanism based on the aspiration of payoff. Specifically, the interaction range tends to expand according to a certain probability when the current actual payoff reaches or exceeds the aspired payoff. Otherwise, the interaction range will shrink with a certain probability. Simulation results show that such a mechanism of interaction range adjustment can remarkably promote cooperation. The probability of adjusting the interaction range has a great impact on cooperation evolution. Cooperation can be effectively established in a population in which individuals are with higher shrinkag...
In this paper we propose an agent-based model that combine the Majority-Rule-based Voter model in... more In this paper we propose an agent-based model that combine the Majority-Rule-based Voter model in opinion dynamics and the SI Model for information spreading to analyze the dynamics of brand acceptance in social media. We focus on two important parameters in diffusion dynamics: the decayed transmission rate \( (\upbeta) \) and the diffusion interval (θ). When the system is stable, the order parameter of the system is the duration time \( (\tau ) \). In the absence of opinion interaction, the simulation results indicate that, when a disadvantaged brand tries to occupy a large market share through social marketing approaches, it is always effective to let the opponent be the propaganda target. While with the Majority-Rule-based Voter model included, we observe that the opinion interaction could have a dual function, which show that a brand holding a small market share needs to adopt diverse marketing methods according to different population types.
Scientific Reports
The evolution of costly punishment is a puzzle due to cooperators’ second-order free-riding. Prev... more The evolution of costly punishment is a puzzle due to cooperators’ second-order free-riding. Previous studies have proposed many solutions mainly focused on reducing the punishment cost or punishing second-order free riders directly or indirectly. We attempt to explain this confusion from the perspective of punishment motivation, which is why the punisher is willing to pay the cost. The answer is that the punisher is egoistic. Egoistic punishment aims to protect punishers’ own cooperative benefits shared by the defectors. In such case, egoistic punishers would pay a cost in punishing defectors and retrieve lost payoffs from defectors. Here, we examined the evolution and performance of egoistic punishment and compared it with typical altruistic punishment using classic peer-punishment and pool-punishment modes. Results showed egoistic punishment can evolve and effectively promote cooperation within a large parameter range, whether in a well-mixed or structured population, or through ...
The evolution of costly punishment is a puzzle due to cooperators’ second-order free-riding. Prev... more The evolution of costly punishment is a puzzle due to cooperators’ second-order free-riding. Previous studies have proposed many solutions mainly focused on reducing the punishment cost or punishing second-order free riders directly or indirectly. We attempt to explain this confusion from the perspective of punishment motivation, which is why the punisher is willing to pay the cost. The answer is that the punisher is egoistic. Egoistic punishment aims to protect punishers’ own cooperative benefits shared by the defectors. In such case, egoistic punishers would pay a cost in punishing defectors and retrieve lost payoffs from defectors. Here, we examined the evolution and performance of egoistic punishment and compared it with typical altruistic punishment using classic peer-punishment and pool-punishment modes. Results showed egoistic punishment can evolve and effectively promote cooperation within a large parameter range, whether in a well-mixed or structured population, or through ...
The recent availability of geospatial data on human movements and communications has provided new... more The recent availability of geospatial data on human movements and communications has provided new insights into the understanding of human mobility. This study explores a data set of people flow which contains diverse travel modes in the Tokyo metropolitan area. We constructed a spatially embedded network to model the mobility interactions in urban space and then utilized the community detection method to reveal the sub-regional structures in individual travel modes and as well as the aggregated one. Two patterns of hierarchical polycentric mobility structure were revealed, and then the similarity and difference in sub-regional structures between different travel modes was analyzed. Furthermore, we examined how the mobility structures under different travel models collectively form the overall urban mobility structure. This work sheds some light on improving our understanding of the spatial aggregation of mobility and is of potential value for transport planning.
2017 13th International Conference on Natural Computation, Fuzzy Systems and Knowledge Discovery (ICNC-FSKD)
Discrete and continuous opinion dynamics models have been widely studied in the contexts of socia... more Discrete and continuous opinion dynamics models have been widely studied in the contexts of social dynamics and group decision-making. However, the fuzziness of opinion is less well-concerned in existing contributions. Based on the fuzzy set theory, a fuzzy opinion dynamics model is proposed in this work. In our model, individual opinion is represented by the fuzzy number to reflect the stubbornness and tolerant attitude during the process of reaching an agreement. The similarity of coupled fuzzy numbers is assigned as the probability while exchanging opinions. Through numerical simulation, we observe that the fuzziness of opinion plays an important role. Another finding is that the fuzzy level and the number of remaining opinions in equilibrium demonstrates power-law distribution in the well-mixed population. The results of this study indicate that stubborn opinions lead to widespread local convergence and tolerant opinions generate a global agreement in the process of exchanging opinions among individuals.
Nature Communications
Around 80% of global trade by volume is transported by sea, and thus the maritime transportation ... more Around 80% of global trade by volume is transported by sea, and thus the maritime transportation system is fundamental to the world economy. To better exploit new international shipping routes, we need to understand the current ones and their complex systems association with international trade. We investigate the structure of the global liner shipping network (GLSN), finding it is an economic small-world network with a trade-off between high transportation efficiency and low wiring cost. To enhance understanding of this trade-off, we examine the modular segregation of the GLSN; we study provincial-, connector-hub ports and propose the definition of gateway-hub ports, using three respective structural measures. The gateway-hub structural-core organization seems a salient property of the GLSN, which proves importantly associated to network integration and function in realizing the cargo transportation of international trade. This finding offers new insights into the GLSN’s structural...
Physica A: Statistical Mechanics and its Applications
Abstract Evolution of cooperation in prisoner’s dilemma games has been studied extensively in the... more Abstract Evolution of cooperation in prisoner’s dilemma games has been studied extensively in the past decades. Recent studies have investigated the effect of adaptive interaction intensity on spatial prisoner’s dilemma, showing that if individuals can adjust their interaction intensity with each opponent at the same extent, cooperation can be promoted in a proper scale. However, the previous studies about adaptive interaction willingness do not consider the heterogeneity of the opponents. In this paper, a simulative model is developed to examine whether and how the interactive diversity influences cooperation in the spatial prisoner’s dilemma games, in which individuals consider the corresponding behavior of different opponents. The simulation results show that the proposed mechanism can effectively promote cooperation, and the average payoff of the system can significantly be improved by high interaction intensity between cooperators. In addition, we also show four kinds of different individuals to analyze the evolution progresses. The simulations show that cooperators on the boundary decrease their interaction willingness, which makes the boundary defectors lose their opportunity to participate in the interaction and be invaded by cooperators.
Journal of Systems Science and Information
The study of human mobility patterns is of both theoretical and practical values in many aspects.... more The study of human mobility patterns is of both theoretical and practical values in many aspects. For long-distance travel, a few research endeavors have shown that the displacements of human travels follow a power-law distribution. However, controversies remain regarding the issue of the scaling laws of human mobility in intra-urban areas. In this work, we focus on the mobility pattern of taxi passengers by examining five datasets of three metropolitans. Through statistical analysis, we find that the lognormal distribution with a power-law tail can best approximate both the displacement and the duration time of taxi trips in all the examined cities. The universality of the scaling laws of human mobility is subsequently discussed, in view of the analysis of the data. The consistency of the statistical properties of the selected datasets that cover different cities and study periods suggests that, the identified pattern of taxi-based intra-urban travels seems to be ubiquitous over ci...
Journal of Systems Science and Systems Engineering
When people try to decide to buy or not to, they are often influenced by both their inherent opin... more When people try to decide to buy or not to, they are often influenced by both their inherent opinions and the social marketing activities e.g. advertising, social news with strong point of view. Then people will make their final choice, or even convince other people to buy. After all, this is the brand acceptance formation process. Factually, the dynamics of brand acceptance is essentially an interwoven dynamics of endogenous opinion dynamics disturbed by an information diffusion process. To have a better understanding of the dynamics of brand acceptance, we propose and analyze a coupled agent-based dynamic model that combines the Majority-Rule-based Voter model in opinion dynamics with the SI Model for information spreading to analyze the dynamics of brand acceptance in social media. We focus on two important parameters in diffusion dynamics: the decayed transmission rate (β) and the diffusion frequency (f). When the system is stable, the order parameter of the system is the duration time (τ). In the absence of opinion interaction, the simulation results indicate that, when a brand tries to occupy a larger market share through social marketing approaches, it is always effective to let the opponent to be the propaganda target. While with the Majority-Rule-based Voter Model included, we observe that the opinion interaction could have a dual function, which shows that a brand holding a small market share in the first place needs to adopt diverse marketing approaches according to different marketing environment types.
Journal of Systems Science and Systems Engineering
Social tagging systems have attracted plenty of research endeavors recently. The dynamic models o... more Social tagging systems have attracted plenty of research endeavors recently. The dynamic models of tag generation or tag usage are one of the key subjects of inquiry. However, the existing models do not well explain the “staged” power-law distribution of tag usage frequencies as observed in various social tagging systems. To cope with this, a new tag-generation model is proposed in this paper, which is based on a preferential selection mechanism influenced by the combinatorial effects of system recommendation and resource multidimensionality. Furthermore, to validate the model, the simulative results under different parameter combinations are compared with the distributions of tag usage frequencies in datasets from three famous social tagging systems, namely Delicious.com, Last.fm and Flickr. For different categories of resources of the three systems, three tag usage patterns can be identified, namely the power-law distribution with two plateaus, the power-law distribution with one plateau, and the standard power-law distribution. All the three patterns can be well fitted and explained by the proposed model.
Physica A: Statistical Mechanics and its Applications
Migration is an important factor in the Spatial Prisoners Dilemma Game. An appropriate migration ... more Migration is an important factor in the Spatial Prisoners Dilemma Game. An appropriate migration mechanism can improve the level of cooperation in the system. A well-noted mechanism is success-driven migration. However, if individuals migrations are solely driven by payoff, small groups of the individuals may geographically gather into scattered clusters, resulting in the reduction of the cooperation level of the entire population. In this paper, we therefore investigate whether this problem can be resolved by respectively mixing the success-driven migration with two additional migration mechanisms to form two new hybrid migration mechanisms. The first means of hybridization is to mix with the Mean-payoff-driven migration, in which an individual migrates to its first-order neighboring site when its payoff is less than the mean payoff of the whole population. The second means is to mix with the Escaping-defector-driven migration, in which an individual migrates according to the number of defectors among its neighbors. We compare these two hybrid mechanisms with the original migration mechanism that combines the success-driven and random-driven migrations. The simulation results show that the hybrid mechanisms we proposed can effectively eliminate the betrayal clusters and the cooperation level of the system can noticeably be improved. The effect of improving the cooperation level is more significant in case that the initial population is sparse.
Scientific Reports
Maritime transport accounts for a majority of trades in volume, of which 70% in value is carried ... more Maritime transport accounts for a majority of trades in volume, of which 70% in value is carried by container ships that transit regular routes on fixed schedules in the ocean. In the present paper, we analyse a data set of global liner shipping as a network of ports. In particular, we construct the network of the ports as the one-mode projection of a bipartite network composed of ports and ship routes. Like other transportation networks, global liner shipping networks may have core-periphery structure, where a core and a periphery are groups of densely and sparsely interconnected nodes, respectively. Core-periphery structure may have practical implications for understanding the robustness, efficiency and uneven development of international transportation systems. We develop an algorithm to detect core-periphery pairs in a network, which allows one to find core and peripheral nodes on different scales and uses a configuration model that accounts for the fact that the network is obtained by the one-mode projection of a bipartite network. We also found that most ports are core (as opposed to peripheral) ports and that ports in some countries in Europe, America and Asia belong to a global core-periphery pair across different scales, whereas ports in other countries do not.
Around 80% of global trade by volume is transported by sea, and thus the maritime transportation ... more Around 80% of global trade by volume is transported by sea, and thus the maritime transportation system is fundamental to the world economy. To better exploit new international shipping routes, we need to understand the current ones and their complex systems association with international trade. We investigate the structure of the global liner shipping network (GLSN), finding it is an economic small-world network with a trade-off between high transportation efficiency and low wiring cost. To enhance understanding of this trade-off, we examine the modular segregation of the GLSN; we study provincial-, connector-hub ports and propose the definition of gateway-hub ports, using three respective structural measures. The gateway-hub structural-core organization seems a salient property of the GLSN, which proves importantly associated to network integration and function in realizing the cargo transportation of international trade. This finding offers new insights into the GLSN's struct...
arXiv: Physics and Society, 2016
The study of human mobility patterns is of both theoretical and practical values in many aspects.... more The study of human mobility patterns is of both theoretical and practical values in many aspects. For long-distance travels, a few research endeavors have shown that the displacements of human travels follow the power-law distribution. However, controversies remain in the issue of the scaling law of human mobility in intra-urban areas. In this work we focus on the mobility pattern of taxi passengers by examining five datasets of the three metropolitans of New York, Dalian and Nanjing. Through statistical analysis, we find that the lognormal distribution with a power-law tail can best approximate both the displacement and the duration time of taxi trips, as well as the vacant time of taxicabs, in all the examined cities. The universality of scaling law of human mobility is subsequently discussed, in accordance with the data analytics.
The ant-based clustering technique has been proven a promising technique for the data clustering ... more The ant-based clustering technique has been proven a promising technique for the data clustering problems. However, when applying to text clustering, in many cases the standard ant-based text clustering technique is not satisfactory, partly due to the limitations of the usually adopted VSM-based similarity measure between documents. To address this, a novel ant-based text clustering algorithm is proposed, which utilizes ontology-supported edge-counting-based semantic similarity measure. First stage experiment to test the usefulness and the performance of the proposed algorithm is also reported in the paper.
Bulletin of the American Physical Society, 2019
ArXiv, 2020
Many empirical networks are intrinsically pluralistic, with interactions occurring within groups ... more Many empirical networks are intrinsically pluralistic, with interactions occurring within groups of arbitrary agents. Then the agent in the network can be influenced by types of neighbors, common examples include similarity, opposition, and negligibility. Although the influence of neighbors can be described as an amicable and antagonistic relationship in complex real-world systems accurately, and the research on the dynamic process of public opinion evolution with different types of influence is valuable, few studies have mentioned that issue. In this paper, we develop a novel model on networks of agents with the bi-directional bounded thresholds for studying the evolution of opinion dynamics. We define the scope of individual assimilation and exclusion to identify different types of neighbors and calculate the impact of the corresponding neighbors on the individuals by converting the opinion difference. The simulation results show that the proposed mechanism can effectively explain...
Royal Society Open Science, 2020
Maritime shipping is a backbone of international trade and, thus, the world economy. Cargo-loaded... more Maritime shipping is a backbone of international trade and, thus, the world economy. Cargo-loaded vessels travel from one country's port to another via an underlying port-to-port transport network, contributing to international trade values of countries en route. We hypothesize that ports that involve trans-shipment activities serve as a third-party broker to mediate trade between two foreign countries and contribute to the corresponding country's status in international trade. We test this hypothesis using a port-level dataset of global liner shipping services. We propose two indices that quantify the importance of countries in the global liner shipping network and show that they explain a large amount of variation in individual countries' international trade values and related measures. These results support a long-standing view in maritime economics, which has yet to be directly tested, that countries that are strongly integrated into the global maritime transportatio...
Appl. Math. Comput., 2021
Neighborhood size is an important factor in the spatial prisoner’s dilemma game. Traditional stat... more Neighborhood size is an important factor in the spatial prisoner’s dilemma game. Traditional static interaction range does not adapt to the dynamic social environment. Therefore, it is necessary to study the adaptive adjustment mechanism of the interaction range. In order to enhance the adaptability of individuals to the dynamic social environment, in this paper we propose an interaction range adjustment mechanism based on the aspiration of payoff. Specifically, the interaction range tends to expand according to a certain probability when the current actual payoff reaches or exceeds the aspired payoff. Otherwise, the interaction range will shrink with a certain probability. Simulation results show that such a mechanism of interaction range adjustment can remarkably promote cooperation. The probability of adjusting the interaction range has a great impact on cooperation evolution. Cooperation can be effectively established in a population in which individuals are with higher shrinkag...
In this paper we propose an agent-based model that combine the Majority-Rule-based Voter model in... more In this paper we propose an agent-based model that combine the Majority-Rule-based Voter model in opinion dynamics and the SI Model for information spreading to analyze the dynamics of brand acceptance in social media. We focus on two important parameters in diffusion dynamics: the decayed transmission rate \( (\upbeta) \) and the diffusion interval (θ). When the system is stable, the order parameter of the system is the duration time \( (\tau ) \). In the absence of opinion interaction, the simulation results indicate that, when a disadvantaged brand tries to occupy a large market share through social marketing approaches, it is always effective to let the opponent be the propaganda target. While with the Majority-Rule-based Voter model included, we observe that the opinion interaction could have a dual function, which show that a brand holding a small market share needs to adopt diverse marketing methods according to different population types.
Scientific Reports
The evolution of costly punishment is a puzzle due to cooperators’ second-order free-riding. Prev... more The evolution of costly punishment is a puzzle due to cooperators’ second-order free-riding. Previous studies have proposed many solutions mainly focused on reducing the punishment cost or punishing second-order free riders directly or indirectly. We attempt to explain this confusion from the perspective of punishment motivation, which is why the punisher is willing to pay the cost. The answer is that the punisher is egoistic. Egoistic punishment aims to protect punishers’ own cooperative benefits shared by the defectors. In such case, egoistic punishers would pay a cost in punishing defectors and retrieve lost payoffs from defectors. Here, we examined the evolution and performance of egoistic punishment and compared it with typical altruistic punishment using classic peer-punishment and pool-punishment modes. Results showed egoistic punishment can evolve and effectively promote cooperation within a large parameter range, whether in a well-mixed or structured population, or through ...
The evolution of costly punishment is a puzzle due to cooperators’ second-order free-riding. Prev... more The evolution of costly punishment is a puzzle due to cooperators’ second-order free-riding. Previous studies have proposed many solutions mainly focused on reducing the punishment cost or punishing second-order free riders directly or indirectly. We attempt to explain this confusion from the perspective of punishment motivation, which is why the punisher is willing to pay the cost. The answer is that the punisher is egoistic. Egoistic punishment aims to protect punishers’ own cooperative benefits shared by the defectors. In such case, egoistic punishers would pay a cost in punishing defectors and retrieve lost payoffs from defectors. Here, we examined the evolution and performance of egoistic punishment and compared it with typical altruistic punishment using classic peer-punishment and pool-punishment modes. Results showed egoistic punishment can evolve and effectively promote cooperation within a large parameter range, whether in a well-mixed or structured population, or through ...
The recent availability of geospatial data on human movements and communications has provided new... more The recent availability of geospatial data on human movements and communications has provided new insights into the understanding of human mobility. This study explores a data set of people flow which contains diverse travel modes in the Tokyo metropolitan area. We constructed a spatially embedded network to model the mobility interactions in urban space and then utilized the community detection method to reveal the sub-regional structures in individual travel modes and as well as the aggregated one. Two patterns of hierarchical polycentric mobility structure were revealed, and then the similarity and difference in sub-regional structures between different travel modes was analyzed. Furthermore, we examined how the mobility structures under different travel models collectively form the overall urban mobility structure. This work sheds some light on improving our understanding of the spatial aggregation of mobility and is of potential value for transport planning.
2017 13th International Conference on Natural Computation, Fuzzy Systems and Knowledge Discovery (ICNC-FSKD)
Discrete and continuous opinion dynamics models have been widely studied in the contexts of socia... more Discrete and continuous opinion dynamics models have been widely studied in the contexts of social dynamics and group decision-making. However, the fuzziness of opinion is less well-concerned in existing contributions. Based on the fuzzy set theory, a fuzzy opinion dynamics model is proposed in this work. In our model, individual opinion is represented by the fuzzy number to reflect the stubbornness and tolerant attitude during the process of reaching an agreement. The similarity of coupled fuzzy numbers is assigned as the probability while exchanging opinions. Through numerical simulation, we observe that the fuzziness of opinion plays an important role. Another finding is that the fuzzy level and the number of remaining opinions in equilibrium demonstrates power-law distribution in the well-mixed population. The results of this study indicate that stubborn opinions lead to widespread local convergence and tolerant opinions generate a global agreement in the process of exchanging opinions among individuals.
Nature Communications
Around 80% of global trade by volume is transported by sea, and thus the maritime transportation ... more Around 80% of global trade by volume is transported by sea, and thus the maritime transportation system is fundamental to the world economy. To better exploit new international shipping routes, we need to understand the current ones and their complex systems association with international trade. We investigate the structure of the global liner shipping network (GLSN), finding it is an economic small-world network with a trade-off between high transportation efficiency and low wiring cost. To enhance understanding of this trade-off, we examine the modular segregation of the GLSN; we study provincial-, connector-hub ports and propose the definition of gateway-hub ports, using three respective structural measures. The gateway-hub structural-core organization seems a salient property of the GLSN, which proves importantly associated to network integration and function in realizing the cargo transportation of international trade. This finding offers new insights into the GLSN’s structural...
Physica A: Statistical Mechanics and its Applications
Abstract Evolution of cooperation in prisoner’s dilemma games has been studied extensively in the... more Abstract Evolution of cooperation in prisoner’s dilemma games has been studied extensively in the past decades. Recent studies have investigated the effect of adaptive interaction intensity on spatial prisoner’s dilemma, showing that if individuals can adjust their interaction intensity with each opponent at the same extent, cooperation can be promoted in a proper scale. However, the previous studies about adaptive interaction willingness do not consider the heterogeneity of the opponents. In this paper, a simulative model is developed to examine whether and how the interactive diversity influences cooperation in the spatial prisoner’s dilemma games, in which individuals consider the corresponding behavior of different opponents. The simulation results show that the proposed mechanism can effectively promote cooperation, and the average payoff of the system can significantly be improved by high interaction intensity between cooperators. In addition, we also show four kinds of different individuals to analyze the evolution progresses. The simulations show that cooperators on the boundary decrease their interaction willingness, which makes the boundary defectors lose their opportunity to participate in the interaction and be invaded by cooperators.
Journal of Systems Science and Information
The study of human mobility patterns is of both theoretical and practical values in many aspects.... more The study of human mobility patterns is of both theoretical and practical values in many aspects. For long-distance travel, a few research endeavors have shown that the displacements of human travels follow a power-law distribution. However, controversies remain regarding the issue of the scaling laws of human mobility in intra-urban areas. In this work, we focus on the mobility pattern of taxi passengers by examining five datasets of three metropolitans. Through statistical analysis, we find that the lognormal distribution with a power-law tail can best approximate both the displacement and the duration time of taxi trips in all the examined cities. The universality of the scaling laws of human mobility is subsequently discussed, in view of the analysis of the data. The consistency of the statistical properties of the selected datasets that cover different cities and study periods suggests that, the identified pattern of taxi-based intra-urban travels seems to be ubiquitous over ci...
Journal of Systems Science and Systems Engineering
When people try to decide to buy or not to, they are often influenced by both their inherent opin... more When people try to decide to buy or not to, they are often influenced by both their inherent opinions and the social marketing activities e.g. advertising, social news with strong point of view. Then people will make their final choice, or even convince other people to buy. After all, this is the brand acceptance formation process. Factually, the dynamics of brand acceptance is essentially an interwoven dynamics of endogenous opinion dynamics disturbed by an information diffusion process. To have a better understanding of the dynamics of brand acceptance, we propose and analyze a coupled agent-based dynamic model that combines the Majority-Rule-based Voter model in opinion dynamics with the SI Model for information spreading to analyze the dynamics of brand acceptance in social media. We focus on two important parameters in diffusion dynamics: the decayed transmission rate (β) and the diffusion frequency (f). When the system is stable, the order parameter of the system is the duration time (τ). In the absence of opinion interaction, the simulation results indicate that, when a brand tries to occupy a larger market share through social marketing approaches, it is always effective to let the opponent to be the propaganda target. While with the Majority-Rule-based Voter Model included, we observe that the opinion interaction could have a dual function, which shows that a brand holding a small market share in the first place needs to adopt diverse marketing approaches according to different marketing environment types.
Journal of Systems Science and Systems Engineering
Social tagging systems have attracted plenty of research endeavors recently. The dynamic models o... more Social tagging systems have attracted plenty of research endeavors recently. The dynamic models of tag generation or tag usage are one of the key subjects of inquiry. However, the existing models do not well explain the “staged” power-law distribution of tag usage frequencies as observed in various social tagging systems. To cope with this, a new tag-generation model is proposed in this paper, which is based on a preferential selection mechanism influenced by the combinatorial effects of system recommendation and resource multidimensionality. Furthermore, to validate the model, the simulative results under different parameter combinations are compared with the distributions of tag usage frequencies in datasets from three famous social tagging systems, namely Delicious.com, Last.fm and Flickr. For different categories of resources of the three systems, three tag usage patterns can be identified, namely the power-law distribution with two plateaus, the power-law distribution with one plateau, and the standard power-law distribution. All the three patterns can be well fitted and explained by the proposed model.
Physica A: Statistical Mechanics and its Applications
Migration is an important factor in the Spatial Prisoners Dilemma Game. An appropriate migration ... more Migration is an important factor in the Spatial Prisoners Dilemma Game. An appropriate migration mechanism can improve the level of cooperation in the system. A well-noted mechanism is success-driven migration. However, if individuals migrations are solely driven by payoff, small groups of the individuals may geographically gather into scattered clusters, resulting in the reduction of the cooperation level of the entire population. In this paper, we therefore investigate whether this problem can be resolved by respectively mixing the success-driven migration with two additional migration mechanisms to form two new hybrid migration mechanisms. The first means of hybridization is to mix with the Mean-payoff-driven migration, in which an individual migrates to its first-order neighboring site when its payoff is less than the mean payoff of the whole population. The second means is to mix with the Escaping-defector-driven migration, in which an individual migrates according to the number of defectors among its neighbors. We compare these two hybrid mechanisms with the original migration mechanism that combines the success-driven and random-driven migrations. The simulation results show that the hybrid mechanisms we proposed can effectively eliminate the betrayal clusters and the cooperation level of the system can noticeably be improved. The effect of improving the cooperation level is more significant in case that the initial population is sparse.
Scientific Reports
Maritime transport accounts for a majority of trades in volume, of which 70% in value is carried ... more Maritime transport accounts for a majority of trades in volume, of which 70% in value is carried by container ships that transit regular routes on fixed schedules in the ocean. In the present paper, we analyse a data set of global liner shipping as a network of ports. In particular, we construct the network of the ports as the one-mode projection of a bipartite network composed of ports and ship routes. Like other transportation networks, global liner shipping networks may have core-periphery structure, where a core and a periphery are groups of densely and sparsely interconnected nodes, respectively. Core-periphery structure may have practical implications for understanding the robustness, efficiency and uneven development of international transportation systems. We develop an algorithm to detect core-periphery pairs in a network, which allows one to find core and peripheral nodes on different scales and uses a configuration model that accounts for the fact that the network is obtained by the one-mode projection of a bipartite network. We also found that most ports are core (as opposed to peripheral) ports and that ports in some countries in Europe, America and Asia belong to a global core-periphery pair across different scales, whereas ports in other countries do not.