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    Topology analysis of Lanzhou public transport network based on double-layer complex network theory

    Pu, HanLi, YinzhenMa, Changxi
    13页
    查看更多>>摘要：The network topology is the basis of studying the overall performance and dynamic evolution mechanism of network. In regards to the study on the topology of multi-layer complex networks, the current studies fail to consider the heterogeneity of edges and nodes in multi-layer complex networks, and such methods are insufficient when they are used to analyze the static characteristics of topology. Therefore, this paper based on the theoretical basis of the multi-layer complex network, establishes a two-layer public transit complex network model where urban rail transit and bus transit cooperate with each other, and by optimizing this two-layer public transit complex network model, further proposes an integrated public transit network model. According to the method of analyzing the static statistical characteristics of complex networks, and considering the heterogeneity of nodes and edges in multi-layer network, this paper gives the evaluation indicators of static statistical characteristics of multi-layer public transit complex networks. Taking the two-layer public transit complex network structure in Lanzhou as an example, this paper finds out the main factors affecting its network stability and efficiency by analyzing the physical structure characteristics of this two-layer public transit complex network in Lanzhou where urban rail transit and bus transit cooperate with each other, and then puts forward the network optimization suggestions from the point of view of optimizing key nodes by using the method of identifying key nodes with centrality. In this study, the coupling among heterogeneous public transit network layers and the static structure characteristics of multi-layer public transit complex network are studied from the perspective of network structure, to assist the traffic management department in finding out the problems of the road network for the management and improvement of the performance and efficiency of the network. This has a profound influence on the development planning of urban public transit system. (C) 2021 Elsevier B.V. All rights reserved.
      原文链接:
    • NSTL
    • Elsevier

    Negotiation problem

    Baybusinov, Izat B.Fenoaltea, Enrico MariaZhang, Yi-Cheng
    7页
    查看更多>>摘要：We propose and solve a negotiation model of multiple players facing many alternative solutions. The model can be generalized to many relevant circumstances where stakeholders' interests partially overlap and partially oppose. We also show that the model can be mapped into the well-known directed percolation and directed polymers problems. Moreover, many statistical mechanics tools, such as the Replica method, can be fruitfully employed. Studying our negotiation model can enlighten the links between social-economic phenomena and traditional statistical mechanics and help to develop new perspectives and tools in the fertile interdisciplinary field. (C) 2021 The Author(s). Published by Elsevier B.V.
      原文链接:
    • NSTL
    • Elsevier

    Evolutionary dynamics of cooperation in N-person snowdrift games with peer punishment and individual disguise

    Pi, JinxiuYang, GuanghuiYang, Hui
    12页
    查看更多>>摘要：We introduce individual disguise of non-cooperators into N-person snowdrift games with peer punishment in a well-mixed population to explore the effects of individual disguise and peer punishment on the cooperation in such games. Firstly, we formulate the reasonable payoffs corresponding to cooperation, non-cooperation and punishment strategy, followed by the establishment of the resulting replicator dynamics to investigate the evolution of the frequencies of the three strategies. Secondly, from a macroscopic perspective, this work provides two-dimensional evolutionary state figures on full cooperation. Moreover, this paper studies the sensitivities of the two-dimensional evolutionary state figures to the third parameter. Specifically, high disguise cost, low cost-to-benefit ratio, severe punishment and large competing size tend to curb noncooperators and guide the cooperation between cooperators and punishers, which is frozen as non-cooperators vanish. Conversely, low disguise cost, high cost-to-benefit ratio, light punishment and small competing size are disadvantageous to punishers and lead to a continual dynamic with cooperators and non-cooperators, which is a dynamical phase once the punishers disappear. Thirdly, we propose another stochastic evolutionary dynamic for finite but large populations. The corresponding results are in precise agreement with those of the replicator dynamics. (c) 2021 Elsevier B.V. All rights reserved. The emergence and persistence of cooperation are perpetual conundrums among self-centered individuals across diverse competing entities ranging from biological fields population to sociology, and economics [1-10]. Evolutionary game theoretical approach plays an influential role in exploring the problems [3,4,8,9,11-16]. By far, some prosocial sanctions have been effectively taken to facilitate the cooperation, such as punishment [17-23], reward [24-26], exclusion [27-29],
      原文链接:
    • NSTL
    • Elsevier

    Effects of intrinsic decoherence on quantum correlations in a two superconducting charge qubit system

    Chandrasekar, V. K.Naveena, P.Muthuganesan, R.
    9页
    查看更多>>摘要：Measurement-induced nonlocality (MIN) quantifies the maximal global effect and bipartite quantum correlation due to the locally invariant projective measurements. In this article, we consider a pair of superconducting charge qubits serving as the physical carrier of quantum information. We study the nonlocal correlation in a pair of superconducting qubits characterized by entanglement and different forms of MIN. Further, we investigate the influence of intrinsic decoherence on the temporal evolution of quantum correlations in the considered physical system. It has shown that the Josephson energy is an effective system parameter against the intrinsic decoherence in enhancing the correlations. (C)& nbsp;2021 Elsevier B.V. All rights reserved.
      原文链接:
    • NSTL
    • Elsevier

    Response to the "Comment on the paper by R. Maniar and A. Bhattacharyay, [Random walk model for coordinate-dependent diffusion in a force field, Physica A 584 (2021) 126348]" by A. Vezzani

    Bhattacharyay, A.Maniar, Rohan
    2页
    查看更多>>摘要：In this response to the comments made by A. Vezzani on our paper [Random walk model for coordinate-dependent diffusion in a force field, Physica A 584 (2021) 126348] we explain our stand in relation to the comments made. (c) 2021 Elsevier B.V. All rights reserved.
      原文链接:
    • NSTL
    • Elsevier

    Hyperspectral redundancy detection and modeling with local Hurst exponent

    Li, JianhuiLi, QiaozhiWang, FangLiu, Fan...
    11页
    查看更多>>摘要：Hyperspectral reflectance means a curve in a range of certain wavelength, the complex dynamic structure of which reflects the rich information of an object at different bands, which is often used as various modeling inputs. However, the potential redundancy associating with the information mentioned above will have serious impacts for the accurate extraction of spectral features. Thus, detecting information redundancy is a critical processing for the spectral analysis. By using the local detrended fluctuation analysis, we propose a new method detecting the redundant bands, which focuses on the spectral auto-correlation represented by local Hurst exponent in the moving windows, and the redundant bands can be defined through comparing the auto-correlation between two adjacent windows. Finally, with the fractal feature of the removing redundant bands as the augment, the rapeseed oleic acid prediction model based on the random decision forest is constructed to test our method. For the purpose of comparing, the same feature as the original spectrum is also employed as the augment for the model. The testing result shows that the feature obtained by removing the redundant bands has better performance over the feature of the original spectrum.(c) 2021 Elsevier B.V. All rights reserved.
      原文链接:
    • NSTL
    • Elsevier

    An ANN-based framework for estimating inconsistency in lateral placement of heterogeneous traffic

    BhavnaBiswas, Subhadip
    16页
    查看更多>>摘要：The lateral placement is the transverse position of a moving vehicle across the carriageway width. Studies on lateral placement have gained importance over time specifically for two reasons; (1) lateral placement data has become a crucial input in most of the traffic flow simulation models, and (2) detection of wheel positions helps in determining the riding quality and the distressed portions on a pavement surface. In the case of heterogeneous traffic flow and loosely enforced lane discipline, the estimation of lateral placement of vehicles deals with additional complexity. In such cases, vehicles take any lateral position left empty by other surrounding vehicles while moving in a mixed traffic stream. This results in an inconsistent lateral trajectory of vehicles. Further, this inconsistency is primarily governed by the subject vehicle type and other prevailing factors of the traffic stream. On this background, the present study forwards a Neural Network-based approach to quantify the inconsistency associated with the lateral placements chosen by different vehicle categories in a mixed traffic situation. In addition, a sensitivity analysis revealed how the inconsistency in lateral placement varies suggestively with the change in traffic and road geometric factors.(c) 2021 Elsevier B.V. All rights reserved.
      原文链接:
    • NSTL
    • Elsevier

    Size distribution of states, counties, and cities in the USA: New inequality form information

    Grachev, Gennady A.
    10页
    查看更多>>摘要：In this article, we propose a new approach for studying the patterns of size distribution in settlement systems, based on the analysis of the shape of the Pareto curve (PC). To study the shape of the PC, we used the Gini coefficient, the asymmetry coefficient, and, by analogy with the physics of phase transitions, critical exponent - the index of the PC degree in the neighborhood of zero. An empirical analysis of the PC of various levels of aggregation in the US settlement system has been performed. The form of size distribution of states was studied by decades from 1790 to 2010. The spatial analysis of the PC shape for counties and cities was performed for 2010. The results of an empirical study showed that the PC of the states had left-hand asymmetry over 220 years. The PC of counties and cities had both right-hand and left-hand asymmetries. The obtained results explain in which cases the Pareto distribution having a PC with right-hand asymmetry, and the lognormal distribution with a symmetric PC may not correspond objectively to real settlement systems. As an alternative to power-series distribution and lognormal distribution, we considered an analytically simple two-parameter model with a wide range of PC asymmetry that combines the properties of power-series distribution and lognormal distribution. Verification of the model showed that it adequately described the size of settlements in homogeneous settlement systems. (C) 2022 Elsevier B.V. All rights reserved.
      原文链接:
    • NSTL
    • Elsevier

    Optimization for sequential communication line attack in interdependent power-communication network

    Huang, WeiZhang, TianyiYao, Xinwei
    15页
    查看更多>>摘要：In this paper, we construct a novel model to study cascading failures that occur in the interdependent power-communication network. Based on this model, we employ the Q-learning algorithm to search for the optimal attack sequence against the lines in the communication network with the aim to bring the most destructive damage to the power grid. The effectiveness of the deduced optimal attack sequence is validated through numerical simulations, in which the IEEE-39 bus test system is used as the power grid and the Barabasi-Albert (BA) scale-free network is modeled as the communication network. It is found that in the interdependent power-communication network, large-scale failure in the power grid can be caused by attacking only a small fraction of lines in the communication network. In addition, under the same number of attack actions, the attack sequence resulted from Q-learning algorithm is more destructive than random attack sequence and the attack sequence based on traditional complex network characteristics. Furthermore, according to the analysis of simulation results, we identify the most vulnerable lines in the communication network and propose the corresponding protection strategy. The proposed protection strategy proves to be able to effectively reduce the number of independent optimal attack sequences that the attacker can launch and improve the robustness of the whole network. (C) 2021 Elsevier B.V. All rights reserved.
      原文链接:
    • NSTL
    • Elsevier

    Network versus content: The effectiveness in identifying opinion leaders in an online social network with empirical evaluation

    Hou, Lei
    9页
    查看更多>>摘要：Network studies predict individuals with prominent positions in a social network to be more influential. However, such influence is mostly evaluated by propagation assumption that an individual disseminates information to others, while whether such information has impact on the receivers is not examined. This paper focuses on a detailed scenario of Yelp, an online review platform where users are voted as helpful or not by others. As such, the empirical number of votes can be an alternative ground truth for user influence, to complement the simulation-based propagation ability. We explore whether the network features or the content features of the users are more determinative for identifying opinion leaders. Results suggest that the network features can better predict users' propagation influence, but fail to predict the empirical collective votes. The content features, on the other hand, though not able to explain the propagation influence, are better indicators for the voted opinion leaders. Via a generative model, we argue two possible mechanisms of users accumulating influence, namely the network contagion which can be well predicted by the network features, and the natural accretion which is determined by the quality of contents created by users. In most real world systems, both mechanisms may take effect. Our study highlights the necessity of distinguishing such different mechanisms, and selecting appropriate network and content features for prediction accordingly.(C) 2022 Elsevier B.V. All rights reserved.
      原文链接:
    • NSTL
    • Elsevier