A Modified Earthquake Model Based on Generalized Barabási-Albert Scale-Free Networks

A modified Olami-Feder-Christenaen model of self-organized criticality on generalized Barabási-Albert （GBA） scale-flee networks is investigated. We find that our mode/ displays power-law behavior and the avalanche dynamical behavior is sensitive to the topological structure of networks. Furthermore, the exponent ~ of the model depends on b, which weights the distance in comparison with the degree in the GBA network evolution.

Self-organized Criticality in a Modified Evolution Model on Generalized Barabasi-Albert Scale-Free Networks

A modified evolution model of self-organized criticality on generalized Barabasi-Albert （GBA）.scale-free networks is investigated. In our model, we find that spatial and temporal correlations exhibit critical behaviors. More importantly, these critical behaviors change with the parameter b, which weights the distance in comparison with the degree in the GBA network evolution.

Improving Dendritic Neuron Model With Dynamic Scale-Free Network-Based Differential Evolution

Some recent research reports that a dendritic neuron model(DNM)can achieve better performance than traditional artificial neuron networks(ANNs)on classification,prediction,and other problems when its parameters are well-tuned by a learning algorithm.However,the back-propagation algorithm(BP),as a mostly used learning algorithm,intrinsically suffers from defects of slow convergence and easily dropping into local minima.Therefore,more and more research adopts non-BP learning algorithms to train ANNs.In this paper,a dynamic scale-free network-based differential evolution(DSNDE)is developed by considering the demands of convergent speed and the ability to jump out of local minima.The performance of a DSNDE trained DNM is tested on 14 benchmark datasets and a photovoltaic power forecasting problem.Nine meta-heuristic algorithms are applied into comparison,including the champion of the 2017 IEEE Congress on Evolutionary Computation(CEC2017)benchmark competition effective butterfly optimizer with covariance matrix adapted retreat phase(EBOwithCMAR).The experimental results reveal that DSNDE achieves better performance than its peers.

A novel scale-free network model based on clique growth

A novel scale-flee network model based on clique （complete subgraph of random size） growth and preferential attachment was proposed. The simulations of this model were carried out. And the necessity of two evolving mechanisms of the model was verified. According to the mean-field theory, the degree distribution of this model was analyzed and computed. The degree distribution function of vertices of the generating network P（d） is 2m^2m1^-3（d-m1 ＋ 1）^-3, where m and m1 denote the number of the new adding edges and the vertex number of the cliques respectively, d is the degree of the vertex, while one of cliques P（k） is 2m^2Ek^-3, where k is the degree of the clique. The simulated and analytical results show that both the degree distributions of vertices and cliques follow the scale-flee power-law distribution. The scale-free property of this model disappears in the absence of any one of the evolving mechanisms. Moreover, the randomicity of this model increases with the increment of the vertex number of the cliques.

我国民间体育赛事短视频传播效益形成机理及提升路径——以“村BA”为例

运用文献资料、案例分析、逻辑分析等方法,以“村BA”为例分析我国民间体育赛事短视频传播效益、形成机理,并提出提升路径。我国民间体育赛事短视频传播具有产生经济发展、生发文化融合、形成人际联结、孕育全新生态四方面的效益。形成机理:数字技术革新,拓宽传播流量;新老文化交融,创新内容形式;多元交互联结,增强用户黏性;传播门槛降低,构建三维生态。提升路径:挖掘音画素材内容,优化视频制作技术;融入赛事视觉系统,显现物质文化;强化联合监督管理,加大政策扶持;完善运营管理体系,打造全媒体矩阵。

Robustness measurement of scale-free networks based on motif entropy

As a classical complex network model, scale-free network is widely used and studied. And motifs, as a high-order subgraph structure, frequently appear in scale-free networks, and have a great influence on the structural integrity, functional integrity and dynamics of the networks. In order to overcome the shortcomings in the existing work on the robustness of complex networks, only nodes or edges are considered, while the defects of high-order structure in the network are ignored.From the perspective of network motif, we propose an entropy of node degree distribution based on motif to measure the robustness of scale-free networks under random attacks. The effectiveness and superiority of our method are verified and analyzed in the BA scale-free networks.

Self-Organized Criticality in a Simple Neuron Model Based on Scale-Free Networks

A simple model for a set of interacting idealized neurons in scale-free networks is introduced. The basic elements of the model are endowed with the main features of a neuron function. We find that our model displays powerlaw behavior of avalanche sizes and generates long-range temporal correlation. More importantly, we find different dynamical behavior for nodes with different connectivity in the scale-free networks.

新发展理念下贵州省“村BA”特色篮球高质量发展路径

本文运用文献资料法、系统分析法等方法,深入研判贵州省“村BA”特色篮球发展的现状与困境,明晰新发展理念下该地区特色篮球发展的价值导向与优化路径。当前贵州省村BA特色篮球发展存在结构性治理矛盾复杂、政策性引导力度不足以及产业性品牌发展滞后的现实困境,将其与新发展理念中“创新、绿色、开放、共享”四大方面结合治理有利于形成助力乡村振兴、驱动改革创新及拓宽发展需求的有效路径。新发展理念下贵州省“村BA”特色篮球的高质量发展路径包括加强公共服务建设、优化人才培养体系、完善赛事治理模式、深挖品牌文化价值以及助力产业顶层设计五个维度,这是实现其高质量发展的保障。

Global forward-predicting dynamic routing for traffic concurrency space stereo multi-layer scale-free network

Many real communication networks, such as oceanic monitoring network and land environment observation network,can be described as space stereo multi-layer structure, and the traffic in these networks is concurrent. Understanding how traffic dynamics depend on these real communication networks and finding an effective routing strategy that can fit the circumstance of traffic concurrency and enhance the network performance are necessary. In this light, we propose a traffic model for space stereo multi-layer complex network and introduce two kinds of global forward-predicting dynamic routing strategies, global forward-predicting hybrid minimum queue（HMQ） routing strategy and global forward-predicting hybrid minimum degree and queue（HMDQ） routing strategy, for traffic concurrency space stereo multi-layer scale-free networks. By applying forward-predicting strategy, the proposed routing strategies achieve better performances in traffic concurrency space stereo multi-layer scale-free networks. Compared with the efficient routing strategy and global dynamic routing strategy, HMDQ and HMQ routing strategies can optimize the traffic distribution, alleviate the number of congested packets effectively and reach much higher network capacity.

Trajectory Control of Scale-Free Dynamical Networks with Exogenous Disturbances

In this paper, the trajectory control of multi-agent dynamical systems with exogenous disturbances is studied. Suppose multiple agents composing of a scale-free network topology, the performance of rejecting disturbances for the low degree node and high degree node is analyzed. Firstly, the consensus of multi-agent systems without disturbances is studied by designing a pinning control strategy on a part of agents, where this pinning control can bring multiple agents＇ states to an expected consensus track. Then, the influence of the disturbances is considered by developing disturbance observers, and disturbance observers based control （DOBC） are developed for disturbances generated by an exogenous system to estimate the disturbances. Asymptotical consensus of the multi-agent systems with disturbances under the composite controller can be achieved for scale-free network topology. Finally, by analyzing examples of multi-agent systems with scale-free network topology and exogenous disturbances, the verities of the results are proved. Under the DOBC with the designed parameters, the trajectory convergence of multi-agent systems is researched by pinning two class of the nodes. We have found that it has more stronger robustness to exogenous disturbances for the high degree node pinned than that of the low degree node pinned.

复杂系统的Scale-free性及其宏观调控问题

系统研究了复杂系统的Scale-free问题,包括复杂系统的Scale-free性、幂律分布的分析、Scale-free性的形成机制、复杂系统的Scale-free现象,以及复杂系统Scale-free性的宏观调控等问题。研究结果强调:(1)从广义上说,Scale-free性是描述大量复杂系统整体上严重不均匀分布的一种内在性质;(2)证明了只有当幂律指数在2～3之间时,用幂律分布所描述的大量复杂系统才具有严重的不均匀分布特性;(3)对于国计民生有重大影响的复杂系统,提出了Scale-free性的宏观调控的原则方法。

乡村振兴战略下农村群众体育赛事的多维价值、制约因素与铺展路径——基于“村BA热”的思考

农村群众性体育赛事高度契合人民群众对美好生活追求的时代需要,是助力乡村振兴战略的重要抓手。采用文献资料法、逻辑分析法等研究方法,基于“价值探析—因素审视—路径铺展”的整体逻辑框架,旨在诠释乡村振兴战略背景下我国农村群众体育赛事的多重功能与作用,探明当前制约农村群众体育赛事进一步发展的潜在影响因素,并提出解决思路。研究认为:从实践成效来看,农村群众体育赛事具备产生经济效益、放大社会效益、提高社区凝聚力、促进社会发展以及改善农民生活等功能,为乡村产业兴旺、生态宜居、乡风文明、有效治理及生活富裕提供了助力支点。从理论与实践视角出发,发现乡村生活挖掘不充分、专业人才储备不充裕、乡村文化建设不到位、生态特色功能不明显、社会组织力量不聚合等是制约我国农村群众体育赛事进一步高质量发展的潜在制约因素。因此,提出坚持讲述乡村美好生活,深化赛事本质内涵;强化乡村人才效应,保障赛事运作质量;优化乡风文明环境,提升赛事开展活力;凸显乡村生态特色,扩大赛事承办优势;发挥乡村组织合力,增强赛事治理效能等铺展路径。

“村超”“村BA”助力贵州乡村体育产业高质量发展研究

基于乡村振兴的战略背景,厘清了“村超”“村BA”助力贵州乡村体育产业高质量发展的价值意蕴,剖析了“村超”“村BA”助力贵州乡村体育产业高质量发展的优势及现实困境,提出了“村超”“村BA”助力贵州乡村体育产业高质量发展的纾解路径,以期助推“十四五”时期贵州国民经济社会高质量发展.

我国“村BA”发展的影响因素与路径分析——以贵州台盘“村BA”为例

采用文献资料法、访谈法等研究方法,以贵州台盘“村BA”为分析对象,探析“村BA”发展的影响因素,提出“村BA”发展路径。研究认为:“村BA”发展维度的结构体系包括政策引领、乡村治理、赛事文化、传播助推4个核心范畴,上位政策规划等9条范畴化语句,政策文件相继出台等17条概念化语句以及309条编码语句。其中,政策引领是“村BA”发展的基础支撑,乡村治理是“村BA”发展的内生动力,赛事文化是“村BA”发展的重要根基,传播助推是“村BA”发展的外在驱动。鉴于此,提出我国“村BA”发展路径:完善乡村赛事发展的保障机制,推动“村BA”健康发展;坚持农民主体地位,提升“村BA”自治能力;组建乡村篮球赛事联盟,推动“村BA”做大做强;打造农村体育赛事IP,建立以“村BA”为核心的产业集群。

Generation of scale-free knowledge network with local world mechanism

In order to simulate the real growing process, a new type of knowledge network growth mechanism based on local world connectivity is constructed. By the mean-field method, theoretical prediction of the degree distribution of the knowledge network is given, which is verified by Matlab simulations. When the new added node＇s local world size is very small, the degree distribution of the knowledge network approximately has the property of scale-free. When the new added node＇s local world size is not very small, the degree distribution transforms from pure power-law to the power-law with an exponential tailing. And the scale-free index increases as the number of new added edges decreases and the tunable parameters increase. Finally, comparisons of some knowledge indices in knowledge networks generated by the local world mechanism and the global mechanism are given. In the long run, compared with the global mechanism, the local world mechanism leads the average knowledge levels to slower growth and brings homogenous phenomena.

乡村体育赛事赋能乡村振兴的SWOT分析——以贵州“村超”“村BA”为例

本文运用文献综述法、专家访谈法等研究方法,以贵州“村超”“村BA”为例,论证乡村体育赛事赋能乡村振兴的必要性,分析乡村体育赛事赋能乡村振兴的优势、劣势、机遇和挑战,对乡村体育赛事赋能乡村振兴的因素进行系统分析,建立SWOT矩阵模型,提出乡村体育赛事赋能乡村振兴的制定增长型(S-O)、实施弥补型(W-O)、拟定拓展型(S-T)和采取防御型(W-T)发展策略,从而推动乡村经济高质量发展,以期全面实现乡村振兴战略目标。

“村BA”与乡村振兴文化建设的耦合发展研究——以贵州台盘村“村BA”为例

“村BA”是指在村里举行的以当地村民为运动主体的具有当地特色的篮球比赛。从运动员到奖品,“村BA”都与现代商业性体育文化形成鲜明相比。“村BA”虽以体育文化身份亮相乡村,却耦合乡村振兴过程中文化建设在物质、制度和精神三个层面发展需要,推动着乡村振兴过程中的文化建设。文章将从文化的物质、制度和精神三个层面解构“村BA”在乡村振兴过程中的耦合功能,多角度、多视点探讨乡村振兴过程中文化振兴的发展样式。

乡土文化赋能和美乡村建设的实践论析——依据贵州省“村BA”的案例观察

乡土文化赋能和美乡村建设,既是落实乡土文化创造性转化与创新性发展的要求,也是建设宜居宜业和美乡村的重要手段。因此,将“如何实现乡土文化赋能和美乡村建设”作为核心问题,以贵州省台盘村“村BA”为个案研究,运用案例分析的方法,具体分析“村BA”留住“村味”、创新发展、主体协同的实践样态,明晰乡土文化+改善环境、乡土文化+产业平台、乡土文化+文明有序与和美乡村建设目标之间的耦合逻辑关系,最后从打造乡土文化竞争力、激活乡土文化再生产能力、激发乡土文化发展动力等方面总结乡土文化赋能和美乡村建设路径的经验启示。

新时代乡村体育发展路径与振兴战略研究——以贵州“村BA”现象为例

该文以贵州“村BA”现象为例,探讨了乡村体育发展的路径与振兴战略。首先,“村BA”不仅是一项体育赛事,还是乡村文化的体现,反映了乡村群众对体育文化的热爱与参与。“村BA”通过丰富多彩的体育活动和民族文化展示,吸引了大量观众和参与者,形成了独特的乡村文化氛围。其次,贵州“村BA”的成功举办显著提升了乡村群众的体育参与度,促进了体育活动的多样化和规范化,增强了村民的凝聚力和归属感。地方特色的体育文化挖掘和多渠道的推广传播,进一步扩大了乡村体育的影响力,推动了乡村经济的发展。培育乡村体育品牌和促进赛事的可持续发展是实现乡村振兴的重要举措。通过对贵州“村BA”现象的分析,该文为新时代乡村体育发展提供了宝贵的经验和启示。

从“村BA”的火爆出圈探析群众体育高质量发展路径

促进群众体育高质量发展是推动我国体育事业持续健康发展的重要组成部分,也是实现体育大国向体育强国转变的关键一环。“村BA”作为一种群众体育活动,在丰富了农民文化生活的同时,也促进了农村体育事业的发展,推动了全民健身的普及和发展。文章结合火爆全网的“村BA”的发展情况,通过分析其火爆出圈的原因,以及我国群众体育发展现状存在的问题,对群众体育高质量发展的路径进行了探讨,旨在促进群众体育更好发展。