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network analysis and spatial agglomeration of China’s high-speed rail: A dual network approach

Chinese Physics B 2021年第1期30卷 612-622页

作者： Wei Wang Wen-Bo Du Wei-Han Li Lu(Carol)Tong Jiao-E Wang School of Electronic and Information Engineering Beihang UniversityBeijing 100191China National Engineering Laboratory for Big Data Application Technologies for Comprehensive Traffic Beijing 100191China School of Cyber Science and Technology Beihang UniversityBeijing 100191China Research Institute of Frontier Science Beihang UniversityBeijing 100191China Institute of Geographic Sciences and Natural Resources Research Chinese Academy of SciencesBeijing 100101China College of Resources and Environment University of Chinese Academy of SciencesBeijing 100049China

China has the largest high-speed railway(HSR) system in the world, and it has gradually reshaped the urban *** HSR system can be represented as different types of networks in terms of the nodes and various relationships(i.e.,linkages) between them. In this paper, we first introduce a general dual network model, including a physical network(PN)and a logical network(LN) to provide a comparative analysis for China’s high-speed rail network via complex network theory. The PN represents a layout of stations and rail tracks, and forms the basis for operating all trains. The LN is a network composed of the origin and destination stations of each high-speed train and the train flows between them. China’s high-speed railway(CHSR) has different topological structures and link strengths for PN in comparison with the LN. In the study, the community detection is used to analyze China’s high-speed rail networks and several communities are found to be similar to the layout of planned urban agglomerations in China. Furthermore, the hierarchies of urban agglomerations are different from each other according to the strength of inter-regional interaction and intra-regional interaction, which are respectively related to location and spatial development strategies. Moreover, a case study of the Yangtze River Delta shows that the hub stations have different resource divisions and are major contributors to the gap between train departure and arrival flows.

关键词： China’s high-speed rail dual network network analysis urban agglomeration

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network analysis of eight industrial symbiosis systems

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Frontiers of Earth Science 2016年第2期10卷 352-365页

作者： Yan ZHANG Hongmei ZHENG Han SHI Xiangyi YU Gengyuan LIU Meirong SU Yating LI Yingying CHAI State Key Joint Laboratory of Environmental Simulation and Pollution Control School of Environment Beijing Normal University Beijing 100875 China Department of Public Policy City University of Hong Kong Hong Kong China Solid Waste and Chemical Management Center of MEP Beijing 100029 China Chinese Research Academy of Environmental Sciences Beijing 100012 China

Industrial symbiosis is the quintessential characteristic of an eco-industrial park. To divide parks into different types, previous studies mostly focused on qualitative judgments, and failed to use metrics to conduct quantitative research on the intemal structural or functional characteristics of a park. To analyze a park＇s structural attributes, a range of metrics from network analysis have been applied, but few researchers have compared two or more symbioses using multiple metrics. In this study, we used two metrics （density and network degree centraliza- tion） to compare the degrees of completeness and dependence of eight diverse but representative industrial symbiosis networks. Through the combination of the two metrics, we divided the networks into three types： weak completeness, and two forms of strong completeness, namely ＂anchor tenant＂ mutualism and ＂equality-oriented＂ mutualism. The results showed that the networks with a weak degree of completeness were sparse and had few connections among nodes; for ＂anchor tenant＂ mutualism, the degree of completeness was relatively high, but the affiliated members were too dependent on core members; and the members in ＂equality-oriented＂ mutualism had equal roles, with diverse and flexible symbiotic paths. These results revealed some of the systems＇ internal structure and how different structures influenced the exchanges of materials, energy, and knowledge among members of a system, thereby providing insights into threats that may destabilize the network. Based on this analysis, we provide examples of the advantages and effectiveness of recent improvement projects in a typical Chinese eco-industrial park （Shandong Lubei）.

关键词： industrial ecology network analysis density,network degree centralization eco-industrial park

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Bibliometrics and network analysis of Cryptocurrency Research

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Journal of Systems Science & Complexity 2020年第6期33卷 1933-1958页

作者： GUO Xiaochun DONEV Petko Sino-Danish Center University of Chinese Academy of ScienceBeijingChina Department of Management Politics and PhilosophyCopenhagen Business SchoolPorcelaenshauen 18BCopenhagenDenmark Department of Economics and Management Aalborg UniversityFredrik Bajers Vej 5AalborgDenmark

Cryptocurrency, as an emerging social phenomenon, has attracted great research attentions and starts to form a new research area in the past decade. A thorough review of the existing cryptocurrency literatures helps us to understand the status-quo and the promising research future of this emerging field. This paper provides a systematic review of the cryptocurrency literatures by employing bibliometrics and network analysis methods. A total of 833 publications from Web of Science Core Collection and Scopus have been collected in the time period of January 2008 to June 2018. We examine the descriptive features, countries’ contributions and collaboration networks, author collaboration networks and reference co-citation networks to identify actors with significant influence in this field. The results show that cryptocurrency research is experiencing exponential growth, but scientific collaborations between different countries and authors are still insufficient. The intellectual bases of the cryptocurrency domain rest on the early-year literatures that provide fundamental understandings for cryptocurrency, and that bridge different research fields. The analysis indicates that the current research trend focuses on cryptocurrency market analysis incorporating market behaviors and trading characteristics.

关键词： Bibliometrics Bitcoin cryptocurrency literature review network analysis

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network analysis of Iranian’s health insurance ecosystem before and after the introduction of Universal Health Insurance law

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Global Health Research and Policy 2023年第1期8卷 379-391页

作者： Rohaneh Rahimisadegh Somayeh Noori Hekmat Mohammad Hossein Mehrolhassani Mohammad Jafari Sirizi Health Services Management Research Center Institute for Futures Studies in HealthKerman University of Medical SciencesKermanIran Health Foresight and Innovation Research Center Institute for Futures Studies in HealthKerman University of Medical SciencesKermanIran Department of Health Management Policy and EconomicsFaculty of Management and Medical Information SciencesKerman University of Medical SciencesKermanIran National Center for Health Insurance Research TehranIran

Introduction The policy-making process in health reform is challenging due to the complexity of organizations,overlapping roles,and diversity of *** present study aims to investigate and analyze the network of actors in the Iran health insurance ecosystem regarding the laws before and after the adoption of the Universal Health Insurance(UHI).Methods The present study was done by sequential exploratory mixed method research,consisting of two distinct *** the qualitative phase,the actors and issues pertaining to the laws of the Iranian health insurance ecosystem from 1971 to 2021 were identified through a systematic search of the laws and regulations section of the Research Center of the Islamic Legislative Assembly *** data was analyzed in three steps using directed content *** the quantitative phase,in order to draw the communication network of the actors in Iran’s health insurance ecosystem,the data related to the nodes and links of the networks was *** communication networks were drawn using Gephi software and the micro-and macro-indicators of network were calculated and *** There were 245 laws and 510 articles identified in the field of health insurance in Iran from 1971 to *** of the legal comments were on financial matters and credit allocation,and the payment of *** number of actors before and after the enactment of the UHI Law was 33 and 137,*** Ministry of Health and Medical Education and the Iran Health Insurance Organization were found the two main actors in the network before and after the approval of this *** Adopting a UHI Law and delegating various legal missions and tasks,often with support to the health insurance organization,have facilitated the achievement of the law ***,it has created a poor governance system and a network of actors with low *** on the results of the study,it is suggested to reduce actor

关键词： Health insurance Ecosystem Actors network analysis Universal health insurance law Iran

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network analysis Modeling Towards GIS Based on Object-Relation Database

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Geo-Spatial Information Science 2004年第3期7卷 174-179页

作者： YUEPeng WANGYandong GONGJianya HUANGXianfeng StateKeyLaboratoryofInformationEngineeringinSurveying MappingandRemoteSensingWuhanUniversity129LuoyuRoadWuhan430079China. 不详

This paper compares the differences between the mathematical model in graph theory and GIS network analysis model. Thus it claims that the GIS network analysis model needs to solve. Then this paper introduces the spatial data management methods in object\|relation database for GIS and discusses its effects on the network analysis model. Finally it puts forward the GIS network analysis model based on the object\|relation database. The structure of the model is introduced in detail and research is done to the internal and external memory data structure of the model. The results show that it performs well in practice.

关键词： network analysis GIS object-relation database

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A spillover network analysis of the global crude oil market:Evidence from the post-financial crisis era

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Petroleum Science 2021年第4期18卷 1256-1269页

作者： Zhi-Yi Ouyang Zheng Qin Hong Cao Tian-Yu Xie Xing-Yu Dai Qun-Wei Wang College of Economics and Management Nanjing University of Aeronautics and Astronautics29 Jiangjun AvenueNanjing211106China Research Center for Soft Energy Science Nanjing University of Aeronautics and AstronauticsNanjing211106China

The frequent occurrence of geopolitical crises in the post-financial crisis era is driving the rethinking behind whether the global crude oil market is still a highly connected"great pool".Using the spillover network model suggested by Baruník and Krehlík(2018),and the daily data of 31 global crude oil markets from 2009 to 2019,this study examines the return and volatility spillover effects and their timevarying behavior in six crude oil market segments at different *** findings indicate that heterogeneity exists in the co-movements between global crude oil markets in the post-financial crisis *** the medium term,both return and volatility spillover effects are not significant,which makes the diversified portfolio strategy *** in the Europe and Central Asian regions take the lead in return *** contrast,Asia-Pacific regional prices contribute the most in terms of volatility ***-term volatility spillovers increase sharply when confronted with oil-related events in the postfinancial crisis ***,policymakers should take effective measures to prevent any large-scale risk transmission in the long run.

关键词： Oil price network analysis Spillover effect Multiscale analysis Baruník and Krehlík model

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Ecological network analysis Quantifying the Sustainability of Regional Economies: A Case Study of Guangdong Province in China

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Chinese Geographical Science 2018年第1期28卷 127-136页

作者： LIANG Jinshe HU Ke DAI Teqi Faculty of Geographical Science Beijing Normal University

To meet the challenge of sustainable development, sustainability must be made. Ecological network analysis(ENA) was introduced in this paper as an approach to quantitatively measure the growth, development, and sustainability of an economic system. The Guangdong economic networks from 1987 to 2010 were analyzed by applying the ENA approach. Firstly, a currency flow network among economic sectors was constructed to represent the Guangdong economic system by adapting the input-output(I-O) table data. Then, the network indicators from the ENA framework involving the total system throughput(TST), average mutual information(AMI), ascendency(A), redundancy(R) and development capacity(C) were calculated. Lastly, the network indicators were analyzed to acquire the overall features of Guangdong's economic operations during 1987–2010. The results are as follows: the trends of the network indicators show that the size of the Guangdong economic network grows exponentially at a high rate during 1987–2010, whereas its efficiency does not present a clear trend over its whole period. The growth is the main characteristic of the Guangdong economy during 1987–2010, with no clear evidence regarding its development. The quantitative results of the network also confirmed that the growth contributed to a great majority of the Guangdong economy during 1987–2010, whereas the development's contribution was tiny during the same period. The average value of the sustainability indicator(α) of the Guangdong economic network was 0.222 during 1987–2010, which is less than the theoretically optimal value of 0.37 for a sustainable human-influenced system. The results suggest that the Guangdong economic system needs a further autocatalysis to improve its efficiency to support the system maintaining a sustainable evolvement.

关键词： network analysis regional economy sustainability evaluation ascendency Guangdong Province of China

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A multi-sensor relation model for recognizing and localizing faults of machines based on network analysis

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Frontiers of Mechanical Engineering 2023年第2期18卷 267-281页

作者： Shuhui WANG Yaguo LEI Na LU Xiang LI Bin YANG Key Laboratory of Education Ministry for Modern Design and Rotor-Bearing System Xi’an Jiaotong UniversityXi’an 710049China Systems Engineering Institute Xi’an Jiaotong UniversityXi’an 710049China

Recently,advanced sensing techniques ensure a large number of multivariate sensing data for intelligent fault diagnosis of *** the advantage of obtaining accurate diagnosis results,multi-sensor fusion has long been studied in the fault diagnosis ***,existing studies suffer from two ***,the relations of multiple sensors are either neglected or calculated only to improve the diagnostic accuracy of fault ***,the localization for multi-source faults is seldom investigated,although locating the anomaly variable over multivariate sensing data for certain types of faults is *** article attempts to overcome the above weaknesses by proposing a global method to recognize fault types and localize fault sources with the help of multi-sensor relations(MSRs).First,an MSR model is developed to learn MSRs automatically and further obtain fault recognition ***,centrality measures are employed to analyze the MSR graphs learned by the MSR model,and fault sources are therefore *** proposed method is demonstrated by experiments on an induction motor and a centrifugal *** show the proposed method’s validity in diagnosing fault types and sources.

关键词： fault recognition fault localization multi-sensor relations network analysis graph neural network

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Deep Learning and network analysis:Classifying and Visualizing Geologic Hazard Reports

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Journal of Earth Science 2024年第4期35卷 1289-1303页

作者： Wenjia Li Liang Wu Xinde Xu Zhong Xie Qinjun Qiu Hao Liu Zhen Huang Jianguo Chen School of Geography and Information Engineering China University of GeosciencesWuhan430078China Key Laboratory of Geological Survey and Evaluation of Ministry of Education China University of GeosciencesWuhan430078China School of Computer Science China University of GeosciencesWuhan430078China Key Laboratory of Urban Land Resources Monitoring and Simulation Ministry of Natural ResourcesShenzhen518034China Hubei Key Laboratory of Intelligent Vision Based Monitoring for Hydroelectric Engineering China Three Gorges UniversityYichang443002China Wuhan Geomatics Institute Wuhan430074China Faculty of Earth Resources China University of GeosciencesWuhan430074China

If progress is to be made toward improving geohazard management and emergency decision-making,then lessons need to be learned from past geohazard information.A geologic hazard report provides a useful and reliable source of information about the occurrence of an event,along with detailed information about the condition or factors of the *** such reports,however,can be a challenging process because these texts are often presented in unstructured long text formats,and contain rich specialized and detailed *** text classification is commonly used to mine disaster text data in open domains(e.g.,news and microblogs).But it has limitations to performing contextual long-distance dependencies and is insensitive to discourse *** deficiencies are most obviously exposed in long text ***,this paper uses the bidirectional encoder representations from Transformers(BERT),to model long ***,utilizing a softmax layer to automatically extract text features and classify geohazards without manual *** latent Dirichlet allocation(LDA)model is used to examine the interdependencies that exist between causal variables to visualize *** proposed method is useful in enabling the machine-assisted interpretation of text-based ***,it can help users visualize causes,processes,and other geohazards and assist decision-makers in emergency responses.

关键词： geologic hazard network analysis latent dirichlet allocation text classification deep learning

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Social network analysis of COVID-19 Research and the Changing International Collaboration Structure

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Journal of Shanghai Jiaotong university(Science) 2024年第1期29卷 150-160页

作者：秦野陈蓉蓉 Shanghai Discipline Assessment Center Ofice of Strategic PlanningShanghai Jiao Tong UniversityShanghai 200240China network and Information Center Shanghai Jiao Tong UniversityShanghai 200240China

Research in Information Science and interdisciplinary areas suggested the formation of a growing network of international research *** massive transmission of COVID-19 worldwide especially after the identification of the Omicron variant could fundamentally alter the factors shaping the network's *** study employs network analysis methods to analyze the structure of the COVID-19 research collaboration from 2020 to 2022,using two major academic publication databases and the VOSviewer software.A novel temporal view is added by examining the dynamic changes of the network,and a fractional counting method is adopted as methodological improvements to previous *** reveals that the COVID-19 research network structure has undergone substantial changes over time,as collaborating countries and regions form and re-form new *** in the network can be partly explained by key developments in the pandemic and other social-political *** as one of the largest pivots in the network formed a relatively distinct cluster,with potential to develop a larger Asia-Pacific collaboration cluster based on its research impact.

关键词： COVID-19 international research collaboration network analysis high interdisciplinary research

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