Internet has become a major medium for infomation transmission, how to detect hot topic on web, track the event development and forecast emergency is important to many fields, particularly to some government departmen...Internet has become a major medium for infomation transmission, how to detect hot topic on web, track the event development and forecast emergency is important to many fields, particularly to some government departments. On the basis of the researches in the field of topic detection and tracking, we propose a model for hot topic discovery that will pick out hot topics by automatically detecting, clustering and weighting topics on the websites within a time period. Based on the idea of stock index, we also introduce a topic index approach in following the growth of topics, which is useful to analyze and forecast the development of topics on web.展开更多
Purpose： In this paper, we combined the method of co-word analysis and alluvial diagram to detect hot topics and illustrate their dynamics. Design/methodology/approach： Articles in the field of scientometrics were c...Purpose： In this paper, we combined the method of co-word analysis and alluvial diagram to detect hot topics and illustrate their dynamics. Design/methodology/approach： Articles in the field of scientometrics were chosen as research cases in this study. A time-sliced co-word network was generated and then clustered. Afterwards, we generated an alluvial diagram to show dynamic changes of hot topics, including their merges and splits over time. Findings： After analyzing the dynamic changes in the field of scientometrics from 2011 to 2015, we found that two clusters being merged did not mean that the old topics had disappeared and a totally new one had emerged. The topics were possibly still active the following year, but the newer topics had drawn more attention. The changes of hot topics reflected the shift in researchers＇ interests. subdivided and re-merged. For example, several topics as research progressed. Research topics in scientometrics were constantly a cluster involving ＂industry＂ was divided into Research limitations： When examining longer time periods, we encounter the problem of dealing with bigger data sets. Analyzing data year by year would be tedious, but if we combine, e.g. two years into one time slice, important details would be missed. Practical implications： This method can be applied to any research field to illustrate the dynamics of hot topics. It can indicate the promising directions for researchers and provide guidance to decision makers. Originality/value： The use of alluvial diagrams is a distinctive and meaningful approach to detecting hot topics and especially to illustrating their dynamics.展开更多
In social networks,many complex factors affect the prediction of user forwarding behavior.This paper proposes an improved SVM prediction method for user forwarding behavior of hot topics to improve prediction accuracy...In social networks,many complex factors affect the prediction of user forwarding behavior.This paper proposes an improved SVM prediction method for user forwarding behavior of hot topics to improve prediction accuracy.Firstly,we consider that the improved Cuckoo Search algorithm can select the optimal penalty parameters and kernel function parameters to optimize the SVM and thus predict the user's forwarding behavior.Secondly,this paper considers the factors that affect the user forwarding behavior comprehensively from the user's own factors and external factors.Finally,based on the characteristics of the user's forwarding behavior changing over time,the time-slicing method is used to predict the trend of hot topics.Experiments show that the method can accurately predict the user's forwarding behavior and can sense the trend of hot topics.展开更多
Purpose:To reveal the research hotpots and relationship among three research hot topics in b iomedicine,namely CRISPR,iPS(induced Pluripotent Stem)cell and Synthetic biology.Design/methodology/approach:We set up their...Purpose:To reveal the research hotpots and relationship among three research hot topics in b iomedicine,namely CRISPR,iPS(induced Pluripotent Stem)cell and Synthetic biology.Design/methodology/approach:We set up their keyword co-occurrence networks with using three indicators and information visualization for metric analysis.Findings:The results reveal the main research hotspots in the three topics are different,but the overlapping keywords in the three topics indicate that they are mutually integrated and interacted each other.Research limitations:All analyses use keywords,without any other forms.Practical implications:We try to find the information distribution and structure of these three hot topics for revealing their research status and interactions,and for promoting biomedical developments.Originality/value:We chose the core keywords in three research hot topics in biomedicine by using h-index.展开更多
Revealing and comparing the evolution process of hot topics in the field of Digital Library in China and abroad.[Methods]:Taking data in the field of Digital Library from core journals in CKNI and Web of Science from ...Revealing and comparing the evolution process of hot topics in the field of Digital Library in China and abroad.[Methods]:Taking data in the field of Digital Library from core journals in CKNI and Web of Science from 1990 s to 2020,topics are extracted by LDA model and hot topics are selected based on life cycle theory.Topic evolution paths are generated to contrast evolution of hot topics between home and abroad which are grouped into dimensions of technology and application.It fails to analyze the lagging performance and reasons of research hot topics in the field of Digital Library at home and abroad.In technological dimension of Digital Library,the research content in China lags behind that at abroad.In terms of application dimension,Chinese application tends to focus on social sciences,while application at abroad tends to focus on natural sciences.The evolution of overall research focus is U-shaped,which gradually shifted from technological research to application research,and now turn back to technological dimension.Nowadays,there are also many emerging topics combined with big data technology.展开更多
This article presents the formal definition and description of popular topics on the Internet,analyzes the relationship between popular words and topics,and finally introduces a method that uses statistics and correla...This article presents the formal definition and description of popular topics on the Internet,analyzes the relationship between popular words and topics,and finally introduces a method that uses statistics and correlation of the popular words in traffic content and network flow characteristics as input for extracting popular topics on the Internet.Based on this,this article adapts a clustering algorithm to extract popular topics and gives formalized results.The test results show that this method has an accuracy of 16.7%in extracting popular topics on the Internet.Compared with web mining and topic detection and tracking(TDT),it can provide a more suitable data source for effective recovery of Internet public opinions.展开更多
目的:分析深静脉血栓病人生活质量的研究现状、热点和发展趋势。方法:检索Web of Science核心合集数据库中科学引文索引扩展版和社会科学引文索引建库至2024年收录的深静脉血栓病人生活质量的相关文献,利用VOSviewer软件对发文作者、期...目的:分析深静脉血栓病人生活质量的研究现状、热点和发展趋势。方法:检索Web of Science核心合集数据库中科学引文索引扩展版和社会科学引文索引建库至2024年收录的深静脉血栓病人生活质量的相关文献,利用VOSviewer软件对发文作者、期刊、国家、文献共被引分析、作者共被引及关键词共现进行可视化分析,采用CiteSpace软件,基于对数似然率(LLR)算法开展文献共被引聚类及关键词突现分析。结果:共纳入304篇文献,涉及40个国家的1 391名作者,该领域的发文量呈上升趋势;美国的发文量居全球首位;高产学者主要来自加拿大和美国;发文量排名居前2位的期刊为Thrombosis Research和Phlebology;研究热点包括深静脉血栓病人的症状管理及风险因素、生活质量与心理健康的关系、不同治疗干预及结果对生活质量的影响,长期并发症(如血栓后综合征)的管理及其经济负担、深静脉血栓管理指南及预测因素;研究趋势包括深静脉血栓病人生活质量评估工具的验证、导管定向性溶栓治疗(CaVenT)对深静脉血栓病人生活质量的影响、深静脉血栓疾病的严重程度与生活质量的关联等。结论:深静脉血栓病人生活质量的研究处于发展阶段,国外已形成核心作者群,研究成果和方法备受关注,我国学者可学习借鉴国外的研究经验和方法,加强这一领域的研究,促进我国在深静脉血栓病人生活质量方面的进步与发展。展开更多
By using CiteSpace software to create a knowledge map of authors,institutions and keywords,the literature on the spatio-temporal behavior of Chinese residents based on big data in the architectural planning discipline...By using CiteSpace software to create a knowledge map of authors,institutions and keywords,the literature on the spatio-temporal behavior of Chinese residents based on big data in the architectural planning discipline published in the China Academic Network Publishing Database(CNKI)was analyzed and discussed.It is found that there was a lack of communication and cooperation among research institutions and scholars;the research hotspots involved four main areas,including“application in tourism research”,“application in traffic travel research”,“application in work-housing relationship research”,and“application in personal family life research”.展开更多
在环境不确定性加剧与数字化转型深化的背景下,组织数字韧性作为企业抵御风险、实现可持续发展的核心能力,已成为管理学领域的前沿议题。本文基于Web of Science核心合集数据库2012—2024年间收录的314篇管理学文献,采用CiteSpace软件...在环境不确定性加剧与数字化转型深化的背景下,组织数字韧性作为企业抵御风险、实现可持续发展的核心能力,已成为管理学领域的前沿议题。本文基于Web of Science核心合集数据库2012—2024年间收录的314篇管理学文献,采用CiteSpace软件进行知识图谱分析,综合运用关键词共现、共词聚类、战略坐标图以及文献共引聚类与突现检测等方法,系统揭示了管理学视域下数字韧性研究的热点主题与演进趋势。研究发现:组织数字韧性研究的热点涵盖概念界定与测量方法、多层次影响因素及其双元效应等主题,并呈现出从“危机应对”向“韧性预建”的范式转变;同时,组织数字韧性研究形成了以“组织数字韧性”和“供应链数字韧性”为核心的知识结构特征,研究脉络呈现出从组织内部的静态能力建设,逐步扩展至供应链层面的动态适应与协同,并延伸至生态系统层面共生演化的演进趋势。未来需从以下方面取得突破:一是整合碎片化的理论内涵,构建技术—组织—环境协同的评估体系;二是深化影响因素研究,从个体、组织与环境等多维度考察其作用机制;三是拓展应用场景,量化数字韧性在新兴场景中的差异化效应;四是强化跨学科交叉,构建系统性框架以弥合理论创新与实践应用之间的落差。展开更多
The smart grid has been such a hot topic recently.In this paper the hot topics in this field,such as the definition and features of smart grid,key technical problems to be addressed such as new system components,new t...The smart grid has been such a hot topic recently.In this paper the hot topics in this field,such as the definition and features of smart grid,key technical problems to be addressed such as new system components,new types of transducers and measurement technologies,advanced interfaces,event-driven fast-simulated decision-making and coordination,and adaptive control,etc.,and diff iculties are analyzed and discussed.展开更多
文摘Internet has become a major medium for infomation transmission, how to detect hot topic on web, track the event development and forecast emergency is important to many fields, particularly to some government departments. On the basis of the researches in the field of topic detection and tracking, we propose a model for hot topic discovery that will pick out hot topics by automatically detecting, clustering and weighting topics on the websites within a time period. Based on the idea of stock index, we also introduce a topic index approach in following the growth of topics, which is useful to analyze and forecast the development of topics on web.
基金supported by the National Social Science Foundation of China (Grant No.: 14BTQ030)
文摘Purpose： In this paper, we combined the method of co-word analysis and alluvial diagram to detect hot topics and illustrate their dynamics. Design/methodology/approach： Articles in the field of scientometrics were chosen as research cases in this study. A time-sliced co-word network was generated and then clustered. Afterwards, we generated an alluvial diagram to show dynamic changes of hot topics, including their merges and splits over time. Findings： After analyzing the dynamic changes in the field of scientometrics from 2011 to 2015, we found that two clusters being merged did not mean that the old topics had disappeared and a totally new one had emerged. The topics were possibly still active the following year, but the newer topics had drawn more attention. The changes of hot topics reflected the shift in researchers＇ interests. subdivided and re-merged. For example, several topics as research progressed. Research topics in scientometrics were constantly a cluster involving ＂industry＂ was divided into Research limitations： When examining longer time periods, we encounter the problem of dealing with bigger data sets. Analyzing data year by year would be tedious, but if we combine, e.g. two years into one time slice, important details would be missed. Practical implications： This method can be applied to any research field to illustrate the dynamics of hot topics. It can indicate the promising directions for researchers and provide guidance to decision makers. Originality/value： The use of alluvial diagrams is a distinctive and meaningful approach to detecting hot topics and especially to illustrating their dynamics.
基金This paper is partially supported by the National Natural Science Foundation of China(Grant No.62006032,62072066)Science and Technology Research Program of Chongqing Municipal Education Commission(Grant No.KJZD-K201900603,KJQN201900629)Chongqing Technology Innovation and Application Development Project(Grant No.cstc2020jscx-msxmX0150).
文摘In social networks,many complex factors affect the prediction of user forwarding behavior.This paper proposes an improved SVM prediction method for user forwarding behavior of hot topics to improve prediction accuracy.Firstly,we consider that the improved Cuckoo Search algorithm can select the optimal penalty parameters and kernel function parameters to optimize the SVM and thus predict the user's forwarding behavior.Secondly,this paper considers the factors that affect the user forwarding behavior comprehensively from the user's own factors and external factors.Finally,based on the characteristics of the user's forwarding behavior changing over time,the time-slicing method is used to predict the trend of hot topics.Experiments show that the method can accurately predict the user's forwarding behavior and can sense the trend of hot topics.
基金the National Natural Science Foundation of China Grant 71673131 for financial support
文摘Purpose:To reveal the research hotpots and relationship among three research hot topics in b iomedicine,namely CRISPR,iPS(induced Pluripotent Stem)cell and Synthetic biology.Design/methodology/approach:We set up their keyword co-occurrence networks with using three indicators and information visualization for metric analysis.Findings:The results reveal the main research hotspots in the three topics are different,but the overlapping keywords in the three topics indicate that they are mutually integrated and interacted each other.Research limitations:All analyses use keywords,without any other forms.Practical implications:We try to find the information distribution and structure of these three hot topics for revealing their research status and interactions,and for promoting biomedical developments.Originality/value:We chose the core keywords in three research hot topics in biomedicine by using h-index.
文摘Revealing and comparing the evolution process of hot topics in the field of Digital Library in China and abroad.[Methods]:Taking data in the field of Digital Library from core journals in CKNI and Web of Science from 1990 s to 2020,topics are extracted by LDA model and hot topics are selected based on life cycle theory.Topic evolution paths are generated to contrast evolution of hot topics between home and abroad which are grouped into dimensions of technology and application.It fails to analyze the lagging performance and reasons of research hot topics in the field of Digital Library at home and abroad.In technological dimension of Digital Library,the research content in China lags behind that at abroad.In terms of application dimension,Chinese application tends to focus on social sciences,while application at abroad tends to focus on natural sciences.The evolution of overall research focus is U-shaped,which gradually shifted from technological research to application research,and now turn back to technological dimension.Nowadays,there are also many emerging topics combined with big data technology.
基金was supported by the National Natural Science Foundation of China (Grant No.60574087)the Hi-Tech Research and Development Program of China (2007AA01Z475,2007AA01Z480,2007A-A01Z464)the 111 International Collaboration Program of China.
文摘This article presents the formal definition and description of popular topics on the Internet,analyzes the relationship between popular words and topics,and finally introduces a method that uses statistics and correlation of the popular words in traffic content and network flow characteristics as input for extracting popular topics on the Internet.Based on this,this article adapts a clustering algorithm to extract popular topics and gives formalized results.The test results show that this method has an accuracy of 16.7%in extracting popular topics on the Internet.Compared with web mining and topic detection and tracking(TDT),it can provide a more suitable data source for effective recovery of Internet public opinions.
文摘目的:分析深静脉血栓病人生活质量的研究现状、热点和发展趋势。方法:检索Web of Science核心合集数据库中科学引文索引扩展版和社会科学引文索引建库至2024年收录的深静脉血栓病人生活质量的相关文献,利用VOSviewer软件对发文作者、期刊、国家、文献共被引分析、作者共被引及关键词共现进行可视化分析,采用CiteSpace软件,基于对数似然率(LLR)算法开展文献共被引聚类及关键词突现分析。结果:共纳入304篇文献,涉及40个国家的1 391名作者,该领域的发文量呈上升趋势;美国的发文量居全球首位;高产学者主要来自加拿大和美国;发文量排名居前2位的期刊为Thrombosis Research和Phlebology;研究热点包括深静脉血栓病人的症状管理及风险因素、生活质量与心理健康的关系、不同治疗干预及结果对生活质量的影响,长期并发症(如血栓后综合征)的管理及其经济负担、深静脉血栓管理指南及预测因素;研究趋势包括深静脉血栓病人生活质量评估工具的验证、导管定向性溶栓治疗(CaVenT)对深静脉血栓病人生活质量的影响、深静脉血栓疾病的严重程度与生活质量的关联等。结论:深静脉血栓病人生活质量的研究处于发展阶段,国外已形成核心作者群,研究成果和方法备受关注,我国学者可学习借鉴国外的研究经验和方法,加强这一领域的研究,促进我国在深静脉血栓病人生活质量方面的进步与发展。
文摘目的分析2018—2024年江苏省苏州市免疫规划咨询热线电话中关于人乳头瘤病毒(human papillomavirus,HPV)疫苗相关咨询,了解群众关注的核心热点,为HPV疫苗推广及宫颈癌防控提供参考依据。方法收集2018年1月1日至2024年12月31日苏州市免疫规划对外咨询电话热线中涉及HPV疫苗的相关数据,通过自然语言处理(natural language processing,NLP)方法对文本进行预处理,采用Microsoft Excel软件对预处理后的文本数据进行分类整理与频率统计。结果2018—2024年,苏州市免疫规划咨询热线共接听HPV疫苗相关咨询4820人次,占总咨询量(76154人次)的6.33%。其中九价HPV疫苗咨询3498人次(72.57%),四价HPV疫苗1155人次(23.96%),双价HPV疫苗167人次(4.30%)。咨询热点主要集中在接种服务类(含接种门诊分布、预约方式、接种时间)(30.71%)、适用人群(含年龄范围、性别限制)(17.99%)、政策与疫苗安全和效力(含免费接种政策、疫苗安全性、保护效力)(17.59%)、上市与价型(含新型疫苗上市时间、各价型疫苗区别)(16.97%)和供货与价格(含疫苗供应情况、价格标准)(15.29%)。结论苏州市HPV疫苗相关热点问题随着不同价型HPV疫苗上市时间、政策等因素的变化而变化,可根据咨询热点,针对性地开展宫颈癌预防及HPV疫苗接种的科普宣传,从而更有效地提高公众对HPV疫苗的认知度和接受度。
文摘By using CiteSpace software to create a knowledge map of authors,institutions and keywords,the literature on the spatio-temporal behavior of Chinese residents based on big data in the architectural planning discipline published in the China Academic Network Publishing Database(CNKI)was analyzed and discussed.It is found that there was a lack of communication and cooperation among research institutions and scholars;the research hotspots involved four main areas,including“application in tourism research”,“application in traffic travel research”,“application in work-housing relationship research”,and“application in personal family life research”.
文摘在环境不确定性加剧与数字化转型深化的背景下,组织数字韧性作为企业抵御风险、实现可持续发展的核心能力,已成为管理学领域的前沿议题。本文基于Web of Science核心合集数据库2012—2024年间收录的314篇管理学文献,采用CiteSpace软件进行知识图谱分析,综合运用关键词共现、共词聚类、战略坐标图以及文献共引聚类与突现检测等方法,系统揭示了管理学视域下数字韧性研究的热点主题与演进趋势。研究发现:组织数字韧性研究的热点涵盖概念界定与测量方法、多层次影响因素及其双元效应等主题,并呈现出从“危机应对”向“韧性预建”的范式转变;同时,组织数字韧性研究形成了以“组织数字韧性”和“供应链数字韧性”为核心的知识结构特征,研究脉络呈现出从组织内部的静态能力建设,逐步扩展至供应链层面的动态适应与协同,并延伸至生态系统层面共生演化的演进趋势。未来需从以下方面取得突破:一是整合碎片化的理论内涵,构建技术—组织—环境协同的评估体系;二是深化影响因素研究,从个体、组织与环境等多维度考察其作用机制;三是拓展应用场景,量化数字韧性在新兴场景中的差异化效应;四是强化跨学科交叉,构建系统性框架以弥合理论创新与实践应用之间的落差。
文摘The smart grid has been such a hot topic recently.In this paper the hot topics in this field,such as the definition and features of smart grid,key technical problems to be addressed such as new system components,new types of transducers and measurement technologies,advanced interfaces,event-driven fast-simulated decision-making and coordination,and adaptive control,etc.,and diff iculties are analyzed and discussed.
