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Emergency road network structure and planning optimization in mountainous regions in Southwest China under earthquake scenarios

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Journal of Mountain Science 2022年第3期19卷 771-780页

作者： WEI Meng HUANG Yong WAN Dan DENG Liang-kai Faculty of Architecture and Urban Planning Chongqing UniversityChongqing 400030China Key Laboratory of New Technology for Construction of Cities in Mountain Area Chongqing UniversityChongqing 400030China Shanghai Urban Planning and Design Research Institute Shanghai 200040China College of Architecture and Urban Planning Tongji UniversityShanghai 200092China

Emergency road networks(ERNs),an important part of local disaster prevention systems,can provide security to residents and their *** the ERNs structure is of great significance in terms of promoting disaster prevention and establishing road safety in dangerous mountainous *** study considered the ERNs of the Kangding section of the Dadu River Basin as the area for a case *** network analysis was used to examine the relationship between the four characteristic indicators of mountain roads and the degree of earthquake impacts under the Lushan,Wenchuan,and Kangding Earthquake *** on the analysis results,the southwest mountain road network was evaluated;then,computer simulations were used to evaluate the structural changes in the road network after index *** network was optimized,and the corresponding emergency avoidance network was proposed to provide a reference for the establishment of the mountainous *** results show that the overall completeness of the mountainous ERNs in Southwest China is poor and prone to traffic ***,the local stability is poor,and the network is susceptible to natural *** overall structure of the road network is balanced,but that of certain road sections is *** sections with different attributes present a“gathering-scattering”spatial distribution,i.e,some sections are clustered together while others are far ***,a planning optimization strategy is proposed to better understand the complexity and systematic nature of the mountainous ERN as a whole and to provide a reference for disaster prevention and mitigation planning in mountainous regions in Southwest China.

关键词： Southwest China Emergency road network Mountainous area complex network analysis Structural characteristics Geological hazards

中国与“一带一路”倡议沿线国家能源贸易格局演变与影响因素研究

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Evolution of IPv6 Internet topology with unusual sudden changes

运筹与模糊学 2024年第2期14卷 445页

作者：章晓琪秦炳涛上海理工大学，管理学院7M专业教学中心，上海

本文以2012年、2015年、2018年、2022年“一带一路”倡议沿线国家的能源贸易数据构建能源贸易网络，揭示该网络的格局演变规律。研究发现：1) 网络的发育程度正在逐渐提高，但其中仍存在部分边缘国家。2) 在“一带一路”倡议沿线国家能... 详细信息

本文以2012年、2015年、2018年、2022年“一带一路”倡议沿线国家的能源贸易数据构建能源贸易网络，揭示该网络的格局演变规律。研究发现：1) 网络的发育程度正在逐渐提高，但其中仍存在部分边缘国家。2) 在“一带一路”倡议沿线国家能源贸易网络中，中国是最大的能源进口国，俄罗斯是最大的能源出口国。3) 在“一带一路”倡议沿线国家的总能源贸易网络中，中国位于净受益板块。进一步，本文选取2012~2022年“一带一路”倡议沿线国家的相关数据，利用贸易引力模型进行分析探究该网络能源贸易的影响因素。研究发现经济发展水平、工业化率、共同边界、人口规模、显著正相关，地理距离显著负相关。最后为中国能源贸易长远发展提出建议。

关键词： “一带一路”倡议能源贸易复杂网络分析块模型贸易引力模型 BRI Energy Trade complex network analysis Block Model Trade Gravity Model

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Chinese Physics B 2013年第7期22卷 602-609页

作者：艾均赵海 Kathleen M. Carley 苏湛李辉 College of Information Science and Engineering Northeastern University Institute for Software Research Carnegie Mellon University

The evolution of Internet topology is not always smooth but sometimes with unusual sudden changes. Consequently, identifying patterns of unusual topology evolution is critical for Internet topology modeling and simulation. We analyze IPv6 Internet topology evolution in IP-level graph to demonstrate how it changes in uncommon ways to restructure the Internet. After evaluating the changes of average degree, average path length, and some other metrics over time, we find that in the case of a large-scale growing the Internet becomes more robust; whereas in a top–bottom connection enhancement the Internet maintains its efficiency with links largely decreased.

关键词： scale-free network Internet topology evolution unusual evolution of Internet topology complex network analysis

Deductive way of reasoning about the internet AS level topology

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Chinese Physics B 2015年第11期24卷 633-642页

作者： Dávid Szabó Attila Korsi József Bíró András Gulyás High Speed networks Laboratory Budapest University of Technology and Economics MTA-BME Information Systems Research Group Budapest University of Technology and Economics MTA-BME Future Internet Research Group Budapest University of Technology and Economics

Our current understanding about the AS level topology of the Internet is based on measurements and inductive-type models which set up rules describing the behavior （node and edge dynamics） of the individual ASes and generalize the consequences of these individual actions for the complete AS ecosystem using induction. In this paper we suggest a third, deductive approach in which we have premises for the whole AS system and the consequences of these premises are determined through deductive reasoning. We show that such a deductive approach can give complementary insights into the topological properties of the AS graph. While inductive models can mostly reflect high level statistics （e.g., degree distribution, clustering, diameter）, deductive reasoning can identify omnipresent subgraphs and peering likelihood. We also propose a model, called YEAS, incorporating our deductive analytical findings that produces topologies contain both traditional and novel metrics for the AS level Internet.

关键词： internet topology complex network analysis model

CPPCNDL: Crude oil price prediction using complex network and deep learning algorithms

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Petroleum 2020年第4期6卷 353-361页

作者： Makumbonori Bristone Rajesh Prasad Adamu Ali Abubakar School of IT and Computing American University of NigeriaYolaAdamawa StateNigeria Department of Computer Science and Engineering African University of Science and TechnologyAbujaNigeria

Crude oil price prediction is a challenging task in oil producing *** price is among the most complex and tough to model because fluctuations of price of crude oil are highly irregular,nonlinear and varies dynamically with high *** paper proposed a hybrid model for crude oil price prediction that uses the complex network analysis and long short-term memory(LSTM)of the deep learning *** complex network analysis tool called the visibility graph is used to map the dataset on a network and K-core centrality was employed to extract the non-linearity features of crude oil and reconstruct the *** complex network analysis is carried out in order to preprocess the original data to extract the non-linearity features and to reconstruct the ***,LSTM was employed to model the reconstructed *** verify the result,we compared the empirical results with other research in the *** experiments show that the proposed model has higher accuracy,and is more robust and reliable.

关键词： complex network analysis Deep learning Long-short term memory network K-core centrality Artificial intelligence Crude oil price prediction

Core acupoints of acupuncture for hyperplasia of mammary gland: a network analysis

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TMR Non-Drug Therapy 2020年第1期3卷 12-22页

作者： Bao-Min Dou Yuan-Yuan Sun Tian-Yi Zhao Qian-Nan Jia Jiang Liu Bo Chen Yi Guo Experimental Acupuncture and Moxibustion Research Center Tianjin University of Traditional Chinese MedicineTianjin 301617China College of Traditional Chinese Medicine Tianjin University of Traditional Chinese MedicineTianjin 301617China

Backgroud:Clinical studies on acupuncture treatment of hyperplasia of mammary gland(HMG)have proved its effectiveness,but most studies have paid little attention to acupoints prescription and acupoint *** clinical prescription is not identical,the curative effect also has the ***,through data mining and network analysis,this study explored the core acupoints and the compatibility law of acupoints in acupuncture treatment of ***:To search and select qualified literature according to inclusion and exclusion criteria for relevant clinical research literature on acupuncture treatment of HMG in CNKI,VIP database,WanFang database and PubMed,*** extract relevant information and establish a *** the method of statistical and complex network analysis,this paper studies the core acupoints and the law of acupoint ***:A total of 104 Chinese literatures and 0 English literatures were included and 106 acupuncture prescriptions were *** core acupoints in the treatment of HMG are Danzhong(CV 17),Wuyi(ST 15),Zusanli(ST 36),Jianjing(GB 21).Danzhong(CV 17)and Zusanli(ST 36),Danzhong(CV 17)and Wuyi(ST 15),Jianjing(GB 21)and Tianzong(SI 11),Jianjing(GB 21)and Wuyi(ST 15)have the highest correlation *** method of acupoint matching mainly consists of local-remote acupoints,upper-lower acupoints and front-rear ***:The results of a network analysis substantially accord with the general rules of acupuncture theories in traditional Chinese medicine,able to reflect the points-selection principles and features in acupuncture treatment of HMG and provide evidence for the acupoints selection in the treatment of HMG in acupuncture clinic.

关键词： Hyperplasia of mammary glands(HMG) Acupoints compatibility complex network analysis Traditional Chinese medicine

数据要素如何重构全球价值链分工格局：区域化还是碎片化

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基于复杂网络的中国区域环境治理效率关联性演化分析

世界经济导刊 2023年第11期

作者：易子榆魏龙蔡培民

数据作为数字经济时代的新生产要素，已成为全球价值链重构的关键驱动力。本文在量化分析数据要素价值的基础上，基于网络分工视角，对数据要素如何影响全球价值链分工格局展开系统的理论分析和实证检验。研究结果表明：数据要素对全球... 详细信息

数据作为数字经济时代的新生产要素，已成为全球价值链重构的关键驱动力。本文在量化分析数据要素价值的基础上，基于网络分工视角，对数据要素如何影响全球价值链分工格局展开系统的理论分析和实证检验。研究结果表明：数据要素对全球价值链分工格局的影响存在两面性，但在西方国家的主导下，数据要素将推动全球价值链向着区域化的方向重构；机制分析显示，数据要素能通过驱动生产成本和贸易成本的相对变动，直接推动全球价值链重构；数据要素还能通过在资源配置、技术创新和规则制度领域的深刻变革，间接推动全球价值链重构。本研究为不同经济体在全球价值链重构背景下，共享数字经济时代发展的新机遇提供了明确的可行路径。

关键词：数据要素全球价值链重构出口增加值地理集中度复杂网络分析 data elements global value chain restructuring export value-added geographic concentration complex network analysis

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