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Community detection on elite mathematicians’collaboration network
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作者 Yurui Huang Zimo Wang +1 位作者 Chaolin Tian Yifang Ma 《Journal of Data and Information Science》 CSCD 2024年第4期1-23,共23页
Purpose:This study focuses on understanding the collaboration relationships among mathematicians,particularly those esteemed as elites,to reveal the structures of their communities and evaluate their impact on the fie... Purpose:This study focuses on understanding the collaboration relationships among mathematicians,particularly those esteemed as elites,to reveal the structures of their communities and evaluate their impact on the field of mathematics.Design/methodology/approach:Two community detection algorithms,namely Greedy Modularity Maximization and Infomap,are utilized to examine collaboration patterns among mathematicians.We conduct a comparative analysis of mathematicians’centrality,emphasizing the influence of award-winning individuals in connecting network roles such as Betweenness,Closeness,and Harmonic centrality.Additionally,we investigate the distribution of elite mathematicians across communities and their relationships within different mathematical sub-fields.Findings:The study identifies the substantial influence exerted by award-winning mathematicians in connecting network roles.The elite distribution across the network is uneven,with a concentration within specific communities rather than being evenly dispersed.Secondly,the research identifies a positive correlation between distinct mathematical sub-fields and the communities,indicating collaborative tendencies among scientists engaged in related domains.Lastly,the study suggests that reduced research diversity within a community might lead to a higher concentration of elite scientists within that specific community.Research limitations:The study’s limitations include its narrow focus on mathematicians,which may limit the applicability of the findings to broader scientific fields.Issues with manually collected data affect the reliability of conclusions about collaborative networks.Practical implications:This study offers valuable insights into how elite mathematicians collaborate and how knowledge is disseminated within mathematical circles.Understanding these collaborative behaviors could aid in fostering better collaboration strategies among mathematicians and institutions,potentially enhancing scientific progress in mathematics.Originality/value:The study adds value to understanding collaborative dynamics within the realm of mathematics,offering a unique angle for further exploration and research. 展开更多
关键词 Greedy modularity maximization Infomap collaboration network Community detection Mathematical awardees
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Spatial Structure,Hierarchy and Formation Mechanisms of Scientific Collaboration Networks:Evidence of the Belt and Road Regions 被引量:8
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作者 GU Weinan LIU Hui 《Chinese Geographical Science》 SCIE CSCD 2020年第6期959-975,共17页
Scientific collaboration has become an important part of the people-to-people exchanges in the Belt and Road initiative,and remarkable progress has been made since 2013.Taking the 65 countries along the Belt and Road(... Scientific collaboration has become an important part of the people-to-people exchanges in the Belt and Road initiative,and remarkable progress has been made since 2013.Taking the 65 countries along the Belt and Road(BRI countries)as the research areas and using collaborated Web of Science(WOS)core collection papers to construct an international scientific collaboration matrix,the paper explores the spatial structure,hierarchy and formation mechanisms of scientific collaboration networks of 65 countries along the Belt and Road.The results show that:1)Beyond the Belt and Road regions(BRI regions),Central&Eastern Europe,China and West Asia&North Africa have formed a situation in which they all have the most external links with other countries beyond BRI regions.China has the dominant role over other BRI countries in generating scientific links.The overall spatial structure has changed to a skeleton structure consisting of many dense regions,such as Europe,North America,East Asia and Oceania.2)Within the Belt and Road regions,Central&Eastern Europe has become the largest collaboration partner with other sub-regions in BRI countries.The spatial structure of scientific collaboration networks has transformed from the‘dual core’composed of China and the Central&Eastern Europe region,to the‘multi-polarization’composed of‘one zone and multi-points’.3)The hierarchical structure of scientific collaboration networks presents a typical‘core-periphery’structure,and changes from‘single core’to‘double cores’.4)Among the formation mechanisms of scientific collaboration networks,scientific research strength and social proximity play the most important roles,while geographical distance gradually weakens the hindrance to scientific collaboration. 展开更多
关键词 scientific collaboration networks spatial structure HIERARCHY formation mechanisms the Belt and Road regions
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Clustering approach based on hierarchical expansion for community detection of scientific collaboration network 被引量:2
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作者 李晓慧 Zheng Yanning 《High Technology Letters》 EI CAS 2016年第4期419-425,共7页
This study presents a clustering algorithm based on hierarchical expansion to solve the problem of community detection in scientific collaboration network. The characteristics of achievements information related to sc... This study presents a clustering algorithm based on hierarchical expansion to solve the problem of community detection in scientific collaboration network. The characteristics of achievements information related to scientific and technological domains are analyzed,and then an ontology that represents their latent collaborative relations is built to detect clusters from the collaboration network. A case study is conducted to collect a data set of research achievements in the electric vehicle field and better clustering results are obtained. A hierarchical recommendation framework that enriches the domain ontologies and retrieves more relevant information resources is proposed in the last part of this paper. This work also lays out a novel insight into the exploitation of scientific collaboration network to better classify achievements information. 展开更多
关键词 scientific collaboration network CLUSTERING achievements information recommender systems
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China's landscape in oncology drug research:perspectives from research collaboration networks 被引量:1
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作者 Han You Jingyun Ni +2 位作者 Michael Barber Thomas Scherngell Yuanjia Hu 《Chinese Journal of Cancer Research》 SCIE CAS CSCD 2015年第2期138-147,共10页
Objective: Better understanding of China's landscape in oncology drug research is of great significance for discovering anti-cancer drugs in future. This article differs from previous studies by focusing on Chinese ... Objective: Better understanding of China's landscape in oncology drug research is of great significance for discovering anti-cancer drugs in future. This article differs from previous studies by focusing on Chinese oncology drug research communities in co-publication networks at the institutional level. Moreover, this research aims to explore structures and behaviors of relevant research units by thematic community analysis and to address policy recommendations. Methods: This research used social network analysis to define an institutions network and to identify a community network which is characterized by thematic content. Results: A total of 675 sample articles from 2008 through 2012 were retrieved from the Science Citation Index Expanded (SCIE) database of Web of Science, and top institutions and institutional pairs are highlighted for further discussion. Meanwhile, this study revealed that institutions based in the Chinese mainland are located in a relatively central position, Taiwan's institutions are closely assembled on the side, and Hong Kong's units located in the middle of the Chinese mainland's and Taiwan's. Spatial division and institutional hierarchy are still critical barriers to research collaboration in the field of anti-cancer drugs in China. In addition, the communities focusing on hot research areas show the higher nodal degree, whereas communities giving more attention to rare research subjects are relatively marginalized to the periphery of network. Conclusions= This paper offers policy recommendations to accelerate cross-regional cooperation, such as through developing information technology and increasing investment. The brokers should focus more on outreach to other institutions. Finally, participation in topics of common interest is conducive to improved efficiency in research and development (R&D) resource allocation. 展开更多
关键词 ANTI-CANCER pharmaceuticals PUBLICATIONS research collaboration networks thematic analysis
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A Collaboration Network Model with Multiple Evolving Factors
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作者 徐秀莲 刘春平 何大韧 《Chinese Physics Letters》 SCIE CAS CSCD 2016年第4期159-162,共4页
To describe the empirical data of collaboration networks, several evolving mechanisms have been proposed, which usually introduce different dynamics factors controlling the network growth. These models can reasonably ... To describe the empirical data of collaboration networks, several evolving mechanisms have been proposed, which usually introduce different dynamics factors controlling the network growth. These models can reasonably reproduce the empirical degree distributions for a number of we11-studied real-world collaboration networks. On the basis of the previous studies, in this work we propose a collaboration network model in which the network growth is simultaneously controlled by three factors, including partial preferential attachment, partial random attachment and network growth speed. By using a rate equation method, we obtain an analytical formula for the act degree distribution. We discuss the dependence of the act degree distribution on these different dynamics factors. By fitting to the empirical data of two typical collaboration networks, we can extract the respective contributions of these dynamics factors to the evolution of each networks. 展开更多
关键词 of DE on in A collaboration network Model with Multiple Evolving Factors that with from for is been RDP
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Three vertex degree correlations of fixed act-size collaboration networks
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作者 雷敏 赵清贵 侯振挺 《Journal of Central South University》 SCIE EI CAS 2011年第3期830-833,共4页
A rate equation approach was presented for the exact computation of the three vertex degree correlations of the fixed act-size collaboration networks.Measurements of the three vertex degree correlations were based on ... A rate equation approach was presented for the exact computation of the three vertex degree correlations of the fixed act-size collaboration networks.Measurements of the three vertex degree correlations were based on a rate equation in the continuous degree and time approximation for the average degree of the nearest neighbors of vertices of degree k,with an appropriate boundary condition.The rate equation proposed can be generalized in more sophisticated growing network models,and also extended to deal with related correlation measurements.Finally,in order to check the theoretical prediction,a numerical example was solved to demonstrate the performance of the degree correlation function. 展开更多
关键词 fixed act-size collaboration networks degree correlation function clustering coefficient Markov chain
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Manufacturing enterprise collaboration network:An empirical research and evolutionary model
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作者 Ji-Wei Hu Song Gao +2 位作者 Jun-Wei Yan Ping Lou Yong Yin 《Chinese Physics B》 SCIE EI CAS CSCD 2020年第8期553-563,共11页
With the increasingly fierce market competition,manufacturing enterprises have to continuously improve their competitiveness through their collaboration and labor division with each other,i.e.forming manufacturing ent... With the increasingly fierce market competition,manufacturing enterprises have to continuously improve their competitiveness through their collaboration and labor division with each other,i.e.forming manufacturing enterprise collaborative network(MECN)through their collaboration and labor division is an effective guarantee for obtaining competitive advantages.To explore the topology and evolutionary process of MECN,in this paper we investigate an empirical MECN from the viewpoint of complex network theory,and construct an evolutionary model to reproduce the topological properties found in the empirical network.Firstly,large-size empirical data related to the automotive industry are collected to construct an MECN.Topological analysis indicates that the MECN is not a scale-free network,but a small-world network with disassortativity.Small-world property indicates that the enterprises can respond quickly to the market,but disassortativity shows the risk spreading is fast and the coordinated operation is difficult.Then,an evolutionary model based on fitness preferential attachment and entropy-TOPSIS is proposed to capture the features of MECN.Besides,the evolutionary model is compared with a degree-based model in which only node degree is taken into consideration.The simulation results show the proposed evolutionary model can reproduce a number of critical topological properties of empirical MECN,while the degree-based model does not,which validates the effectiveness of the proposed evolutionary model. 展开更多
关键词 manufacturing enterprise collaboration network complex network topological properties fitness preferential attachment
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Measuring author influence in scientific collaboration networks
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作者 Weijing CHEN Ying ZHENG 《Chinese Journal of Library and Information Science》 2013年第4期55-65,共11页
Purpose:The purpose of this paper is to measure author influence in scientific collaboration networks by considering the combined effects of multiple indexes.In the meanwhile,we intend to explore a method to avoid ass... Purpose:The purpose of this paper is to measure author influence in scientific collaboration networks by considering the combined effects of multiple indexes.In the meanwhile,we intend to explore a method to avoid assigning subjective weights.Design/methodology/approach:We applied four centrality measures(degree centrality,betweenness centrality,closeness centrality and eigenvector centrality)and authors’published papers to the scientific collaboration network.The grey relational analysis(GRA)method based on information entropy was used to measure an author’s impact in the collaboration network.The weight of each evaluation index was determined based on information entropy.The ACM SIGKDD collaboration network was selected as an example to demonstrate the practicality and effectiveness of our method.Findings:Author influence was not always positively correlated with evaluation indexes such as degree centrality and betweenness centrality.This implies that combined effects of multiple indexes should be considered in author impact analysis.The introduction of the GRA method based on information entropy can reduce the interference of human factors in the evaluation process.Research limitations:We only analyzed author influence from the perspective of scientific collaboration,but the impact of citation on author influence was ignored.Practical implications:The proposed method can be also applied to detect influential authors in bibliographic co-citation network,author co-citation network,bibliographic coupling network or author coupling network.It would help facilitate scientific collaboration and enhance scholarly communication.Originality/value:This paper proposes an analytical method of evaluating author influence in scientific collaboration networks,in which combined effects of multiple indexes are considered and the interference of human factors is reduced in the evaluation process. 展开更多
关键词 Scientific collaboration networks Academic influence Entropy weight method Grey relational analysis(GRA
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Evolution model for scientific collaboration network with local-world information 被引量:1
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作者 TIAN Sheng-wen LIAO Jian-xin +1 位作者 WANG Jing-yu QI Qi 《The Journal of China Universities of Posts and Telecommunications》 EI CSCD 2014年第2期15-20,31,共7页
In order to reveal the intrinsic properties of scientific collaboration networks, a new local-world evolution model on a scientific collaboration network is proposed by analysing the network growth mechanism. The act ... In order to reveal the intrinsic properties of scientific collaboration networks, a new local-world evolution model on a scientific collaboration network is proposed by analysing the network growth mechanism. The act degree as the measurement of preferential attachment is taken, and the local-world information of nodes is taken into account. Analysis and simulation show that the node degree and the node strength obey the power-law distribution. Low average path length and high clustering coefficient are approved. Experiment indicates that the model can depict efficiently the topological structure and statistical characteristics of real-life scientific collaboration networks. 展开更多
关键词 scientific collaboration network evolution model local-world information scale-flee act degree
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Diffusion of municipal wastewater treatment technologies in China: a collaboration network perspective
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作者 Yang Li Lei Shi +1 位作者 Yi Qian Jie Tang 《Frontiers of Environmental Science & Engineering》 SCIE EI CAS CSCD 2017年第1期111-121,共11页
The diffusion of municipal wastewater treatment technology is vital for urban environment in developing countries. China has built more than 3000 municipal wastewater treatment plants in the past three decades, which ... The diffusion of municipal wastewater treatment technology is vital for urban environment in developing countries. China has built more than 3000 municipal wastewater treatment plants in the past three decades, which is a good chance to understand how technologies diffused in reality. We used a data-driven approach to explore the relationship between the diffusion of wastewater treatment technologies and collaborations between organizations. A database of 3136 municipal wastewater treatment plants and 4634 collaborating organizations was built and transformed into networks for analysis. We have found that: 1).the diffusion. networks are assortative, arid the .pattems of diffusion vary across technologies; while the collaboration networks are fragmented, and have an assortativity around zero since the 2000s. 2) Important projects in technology diffusion usually involve central organizations in collaboration networks, but organizations become more central in collaboration by doing circumstantial projects in diffusion. 3)The importance of projects in diffusion can be predicted with a Random Forest-model at a good accuracy and precision level. Our findings provide a quantitative understanding of the technology diffusion processes, which could be used for waterrelevant policy-making and business decisions. 展开更多
关键词 Innovation diffusion collaboration network Wastewater treatment plant Complex network Data driven
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Collaboration networks evolution of Safety Science from 1976 to 2019
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作者 Floris Goerlandt Jie Li Genserik Reniers 《Data Science and Informetrics》 2022年第3期82-113,共32页
There is a recent interest to understand the nature of the safety science discipline and to obtain insights in its development patterns and research trends.This article analyzes the evolution of the prevalence and sca... There is a recent interest to understand the nature of the safety science discipline and to obtain insights in its development patterns and research trends.This article analyzes the evolution of the prevalence and scale of collaborative publishing and the macro-level collaboration scale of the Safety Science research community.Additionally,an analysis of the evolution of influential research topics of the core researchers’collaboration networks provides insights in the domain’s high-level development trends.Both the prevalence and scale of scientific collaboration are found to have increased dramatically since the inception of Journal of Occupational Accidents,Safety Science’s predecessor.Research networks have grown significantly,and collaboration between core researchers has steadily increased.Even though this indicates that a core safety science research community has developed,it is also found that the journal continues to serve as a platform for many small and unconnected author clusters.In terms of influential research topics,there is a notable shift from technical aspects of work safety towards psychological and organizational mechanisms of safety.More recently,influential work of core research networks has additionally focused on safety and risk models and methods,the conceptual and theoretical foundations of the domain,and influential research clusters have formed around safety in specific industries.The focus topics of core researcher’s collaboration clusters furthermore highlight the variety of conceptual,theoretical,and methodological approaches co-existing within Safety Science.Various implications of the findings are discussed,where both possible benefits and drawbacks of increased collaboration are highlighted and future research avenues outlined. 展开更多
关键词 collaboration network CO-AUTHORSHIP Safety Science BIBLIOMETRICS SCIENTOMETRICS VOSviewer
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Step-by-Step Random Walk Network with Power-Law Clique-Degree Distribution 被引量:2
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作者 杨涵新 汪秉宏 +2 位作者 刘建国 韩筱璞 周涛 《Chinese Physics Letters》 SCIE CAS CSCD 2008年第7期2718-2720,共3页
We propose a simple mechanism for generating scale-free networks with degree exponent γ=3, where the new node is connected to the existing nodes by step-by-step random walk. It is found that the clique-degree distrib... We propose a simple mechanism for generating scale-free networks with degree exponent γ=3, where the new node is connected to the existing nodes by step-by-step random walk. It is found that the clique-degree distribution based on our model obeys a power-law form, which is in agreement with the recently empirical evidences. In addition, our model displays the small-world effect and the hierarchical structure. 展开更多
关键词 SCIENTIFIC collaboration networkS SMALL-WORLD networkS COMPLEX networkS MODEL WEB
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A comparative study on institutional collaboration characteristics in EM and LIS in China
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作者 Yating LI Bin ZHANG 《Chinese Journal of Library and Information Science》 2015年第4期62-77,共16页
Purpose: This study analyzes the current status of institutional cooperation in economics and management (EM) and library and information science (LIS) in China.Design/methodology/approach: Based on the Chinese ... Purpose: This study analyzes the current status of institutional cooperation in economics and management (EM) and library and information science (LIS) in China.Design/methodology/approach: Based on the Chinese Social Science Citation Index (CSSCI) database, we constructed institutional collaboration networks in EM and LIS, and analyzed the collaboration characteristics through social network analysis.Findings: In the development and evolution of the collaboration network of institutions in humanities and social sciences, EM is always at the center. It has extensive cooperation relationships with other fields. The position of LIS has also become centralized, and its interdisciplinary cooperation has increased. For both EM and LIS, we observed "small-world" and "scale-free" networks, indicating full communication and mature development in both disciplines. Based on a comparison of two institutions in the two fields, we confirmed the comprehensive development in EM and the extensive information exchange in LIS.Research limitations: We collected data only from humanities and social sciences, but did not consider the connection between EM and natural sciences, or between LIS and natural sciences. In addition, the paper lacks analysis of institutional collaboration at the micro level.Practical implications: The paper provides insights into the institutional cooperation characteristics in EM and LIS in China.Originality/value: The paper offers a new perspective on the characteristics of institutional collaboration in China. 展开更多
关键词 Institutional collaboration collaboration network Social network analysis (SNA) Economics and management (EM) Library and information science (LIS)
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Deep Reinforcement Learning-Based URLLC-Aware Task Offloading in Collaborative Vehicular Networks 被引量:5
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作者 Chao Pan Zhao Wang +1 位作者 Zhenyu Zhou Xincheng Ren 《China Communications》 SCIE CSCD 2021年第7期134-146,共13页
Collaborative vehicular networks is a key enabler to meet the stringent ultra-reliable and lowlatency communications(URLLC)requirements.A user vehicle(UV)dynamically optimizes task offloading by exploiting its collabo... Collaborative vehicular networks is a key enabler to meet the stringent ultra-reliable and lowlatency communications(URLLC)requirements.A user vehicle(UV)dynamically optimizes task offloading by exploiting its collaborations with edge servers and vehicular fog servers(VFSs).However,the optimization of task offloading in highly dynamic collaborative vehicular networks faces several challenges such as URLLC guaranteeing,incomplete information,and dimensionality curse.In this paper,we first characterize URLLC in terms of queuing delay bound violation and high-order statistics of excess backlogs.Then,a Deep Reinforcement lEarning-based URLLCAware task offloading algorithM named DREAM is proposed to maximize the throughput of the UVs while satisfying the URLLC constraints in a besteffort way.Compared with existing task offloading algorithms,DREAM achieves superior performance in throughput,queuing delay,and URLLC. 展开更多
关键词 collaborative vehicular networks task of-floading URLLC awareness deep Q-learning
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XML-based Data Processing in Network Supported Collaborative Design 被引量:2
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作者 Qi Wang Zhong-Wei Ren Zhong-Feng Guo 《International Journal of Automation and computing》 EI 2010年第3期330-335,共6页
In the course of network supported collaborative design, the data processing plays a very vital role. Much effort has been spent in this area, and many kinds of approaches have been proposed. Based on the correlative ... In the course of network supported collaborative design, the data processing plays a very vital role. Much effort has been spent in this area, and many kinds of approaches have been proposed. Based on the correlative materials, this paper presents extensible markup language (XML) based strategy for several important problems of data processing in network supported collaborative design, such as the representation of standard for the exchange of product model data (STEP) with XML in the product information expression and the management of XML documents using relational database. The paper gives a detailed exposition on how to clarify the mapping between XML structure and the relationship database structure and how XML-QL queries can be translated into structured query language (SQL) queries. Finally, the structure of data processing system based on XML is presented. 展开更多
关键词 Extensible markup language (XML) network supported collaborative design standard for the exchange of product model data (STEP) data analysis data processing relational database
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Intel and ZTE Collaborate To Deliver Global Wireless Broadband Networks
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《ZTE Communications》 2005年第1期69-69,共1页
关键词 WIMAX ZTE Intel and ZTE Collaborate To Deliver Global Wireless Broadband networks
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Stability and Generalization of Hypergraph Collaborative Networks
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作者 Michael K.Ng Hanrui Wu Andy Yip 《Machine Intelligence Research》 EI CSCD 2024年第1期184-196,共13页
Graph neural networks have been shown to be very effective in utilizing pairwise relationships across samples.Recently,there have been several successful proposals to generalize graph neural networks to hypergraph neu... Graph neural networks have been shown to be very effective in utilizing pairwise relationships across samples.Recently,there have been several successful proposals to generalize graph neural networks to hypergraph neural networks to exploit more com-plex relationships.In particular,the hypergraph collaborative networks yield superior results compared to other hypergraph neural net-works for various semi-supervised learning tasks.The collaborative network can provide high quality vertex embeddings and hyperedge embeddings together by formulating them as a joint optimization problem and by using their consistency in reconstructing the given hy-pergraph.In this paper,we aim to establish the algorithmic stability of the core layer of the collaborative network and provide generaliz--ation guarantees.The analysis sheds light on the design of hypergraph filters in collaborative networks,for instance,how the data and hypergraph filters should be scaled to achieve uniform stability of the learning process.Some experimental results on real-world datasets are presented to illustrate the theory. 展开更多
关键词 HYPERGRAPHS VERTICES hyperedges collaborative networks graph convolutional neural networks(CNNs) STABILITY generalization guarantees
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Entrepreneurial Orientation and Innovation Ecosystems in the Industrial Sector, Central Region, Kampala, Uganda: A Review
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作者 Serunjoji Ismah 《Open Journal of Applied Sciences》 2023年第12期2447-2460,共14页
This review explores entrepreneurial orientation and innovation ecosystems in the industrial sector of the Central Region, Kampala, Uganda, through an analysis of ten scholarly articles. The study contextualizes the r... This review explores entrepreneurial orientation and innovation ecosystems in the industrial sector of the Central Region, Kampala, Uganda, through an analysis of ten scholarly articles. The study contextualizes the research within the regional landscape and establishes a theoretical framework through a focused literature review. Key findings highlight the intersection of entrepreneurial activities and innovation dynamics, emphasizing the region’s unique contributions to the broader field. Discussions on discrepancies and unexplored territories within the articles offer insights into limitations and research gaps. The manuscript concludes by identifying future research avenues, providing a roadmap for ongoing inquiry into the entrepreneurial and innovative dimensions of the Central Region’s industrial sector. This synthesis underscores the importance of cultivating an entrepreneurial mindset and collaborative innovation strategies for sustainable industrial development in the region. 展开更多
关键词 Entrepreneurial Orientation Innovation Ecosystems Industrial Sector Central Region Kampala Uganda Mixed Methods Collaborative networks Proactiveness Risk-Taking Competitive Aggressiveness
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A Study of Methods to Identify Industry-University-Research Institution Cooperation Partners based on Innovation Chain Theory 被引量:9
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作者 Haiyun Xu Chao Wang +3 位作者 Kun Dong Rui Luo Zenghui Yue Hongshen Pang 《Journal of Data and Information Science》 CSCD 2018年第2期38-61,共24页
Purpose: This study aims at identifying potential industry-university-research collaboration(IURC) partners effectively and analyzes the conditions and dynamics in the IURC process based on innovation chain theory.... Purpose: This study aims at identifying potential industry-university-research collaboration(IURC) partners effectively and analyzes the conditions and dynamics in the IURC process based on innovation chain theory.Design/methodology/approach: The method utilizes multisource data, combining bibliometric and econometrics analyses to capture the core network of the existing collaboration networks and institution competitiveness in the innovation chain. Furthermore, a new identification method is constructed that takes into account the law of scientific research cooperation and economic factors.Findings: Empirical analysis of the genetic engineering vaccine field shows that through the distribution characteristics of creative technologies from different institutions, the analysis based on the innovation chain can identify the more complementary capacities among organizations.Research limitations: In this study, the overall approach is shaped by the theoretical concept of an innovation chain, a linear innovation model with specific types or stages of innovation activities in each phase of the chain, and may, thus, overlook important feedback mechanisms in the innovation process.Practical implications: Industry-university-research institution collaborations are extremely important in promoting the dissemination of innovative knowledge, enhancing the quality of innovation products, and facilitating the transformation of scientific achievements.Originality/value: Compared to previous studies, this study emulates the real conditions of IURC. Thus, the rule of technological innovation can be better revealed, the potential partners of IURC can be identified more readily, and the conclusion has more value. 展开更多
关键词 Institutions collaboration collaboration network Innovation chain Industrialchain Industry-university-research institutions
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Cloud Computing-Based Forensic Analysis for Collaborative Network Security Management System 被引量:8
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作者 Zhen Chen Fuye Han +2 位作者 Junwei Cao Xin Jiang Shuo Chen 《Tsinghua Science and Technology》 SCIE EI CAS 2013年第1期40-50,共11页
Internet security problems remain a major challenge with many security concerns such as Internet worms, spam, and phishing attacks. Botnets, well-organized distributed network attacks, consist of a large number of bot... Internet security problems remain a major challenge with many security concerns such as Internet worms, spam, and phishing attacks. Botnets, well-organized distributed network attacks, consist of a large number of bots that generate huge volumes of spam or launch Distributed Denial of Service (DDoS) attacks on victim hosts. New emerging botnet attacks degrade the status of Internet security further. To address these problems, a practical collaborative network security management system is proposed with an effective collaborative Unified Threat Management (UTM) and traffic probers. A distributed security overlay network with a centralized security center leverages a peer-to-peer communication protocol used in the UTMs collaborative module and connects them virtually to exchange network events and security rules. Security functions for the UTM are retrofitted to share security rules. In this paper, we propose a design and implementation of a cloud-based security center for network security forensic analysis. We propose using cloud storage to keep collected traffic data and then processing it with cloud computing platforms to find the malicious attacks. As a practical example, phishing attack forensic analysis is presented and the required computing and storage resources are evaluated based on real trace data. The cloud- based security center can instruct each collaborative UTM and prober to collect events and raw traffic, send them back for deep analysis, and generate new security rules. These new security rules are enforced by collaborative UTM and the feedback events of such rules are returned to the security center. By this type of close-loop control, the collaborative network security management system can identify and address new distributed attacks more quickly and effectively. 展开更多
关键词 cloud computing overlay network collaborative network security system computer forensics anti-botnet ANTI-PHISHING hadoop file system EUCALYPTUS amazon web service
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