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
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
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
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
城市遗产保护在城镇化进程中占据着重要位置,但其创新方向尚待探索。文章通过检索WoS(Web of Science)和中国知网的核心期刊文献,共收集到528篇样本文献,并对这些热点文献的参考文献进行了深入分析。利用可视化工具,文章系统地分析了国...城市遗产保护在城镇化进程中占据着重要位置,但其创新方向尚待探索。文章通过检索WoS(Web of Science)和中国知网的核心期刊文献,共收集到528篇样本文献,并对这些热点文献的参考文献进行了深入分析。利用可视化工具,文章系统地分析了国内外城市遗产保护的研究热点、趋势及学科分布情况,并对比了国内外的异同。研究结果显示,我国在该领域的研究仍处于基础阶段,学科融合度相对较低;而国外研究则更为深入、精细化,学科交叉更为全面。因此,文章旨在通过热点评述与异同比较,为我国城市遗产保护领域的研究创新提供启示。同时,期望能在研究方法与工具运用上提出新的思路,以推动该领域的发展,从而更好地保护和利用城市遗产,促进城镇化进程的可持续发展。展开更多
[目的/意义]生命科学与生物技术的快速发展在造福人类社会的同时,也带来了潜在的生物安全风险和生物技术两用性问题。生物技术两用性相关文献包括政策研究类及实验研究类,对政策研究类文献的计量分析有助于对相关研究的全面了解。同时,...[目的/意义]生命科学与生物技术的快速发展在造福人类社会的同时,也带来了潜在的生物安全风险和生物技术两用性问题。生物技术两用性相关文献包括政策研究类及实验研究类,对政策研究类文献的计量分析有助于对相关研究的全面了解。同时,对政策研究类文献中参考文献的分析,可确定被引次数较高的实验研究类文献;结合关键词分析,可明确生物技术两用性研究的关注热点。[方法/过程]基于Web of Science数据库检索生物技术两用性政策研究类文献,采用人工统计与Cite Space软件分析相结合方式,进行年度、国家、机构、期刊、关键词、参考文献等的计量分析与可视化呈现。[结果/结论]美国等国家生物技术两用性政策研究类文献数量较多,体现出其对该领域的重视;我国相关文献数量不多,与国外合作也较少,但国内机构间呈现一定合作关系。关键词突现分析显现出关注热点的变化,从早期的生物武器到后来的合成生物学、人工智能等。被引文献分析中,流感病毒功能获得性研究、致死性鼠痘病毒、1918流感病毒及脊髓灰质炎病毒合成等文献的被引频次较高,是生物技术两用性最具代表性的争议论文。生物技术两用性问题日益凸显,我国应进一步完善相关政策,要进一步加强相关治理工作,相关政策研究人员应重视定量化研究探索。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
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.
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.
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.
文摘城市遗产保护在城镇化进程中占据着重要位置,但其创新方向尚待探索。文章通过检索WoS(Web of Science)和中国知网的核心期刊文献,共收集到528篇样本文献,并对这些热点文献的参考文献进行了深入分析。利用可视化工具,文章系统地分析了国内外城市遗产保护的研究热点、趋势及学科分布情况,并对比了国内外的异同。研究结果显示,我国在该领域的研究仍处于基础阶段,学科融合度相对较低;而国外研究则更为深入、精细化,学科交叉更为全面。因此,文章旨在通过热点评述与异同比较,为我国城市遗产保护领域的研究创新提供启示。同时,期望能在研究方法与工具运用上提出新的思路,以推动该领域的发展,从而更好地保护和利用城市遗产,促进城镇化进程的可持续发展。
文摘[目的/意义]生命科学与生物技术的快速发展在造福人类社会的同时,也带来了潜在的生物安全风险和生物技术两用性问题。生物技术两用性相关文献包括政策研究类及实验研究类,对政策研究类文献的计量分析有助于对相关研究的全面了解。同时,对政策研究类文献中参考文献的分析,可确定被引次数较高的实验研究类文献;结合关键词分析,可明确生物技术两用性研究的关注热点。[方法/过程]基于Web of Science数据库检索生物技术两用性政策研究类文献,采用人工统计与Cite Space软件分析相结合方式,进行年度、国家、机构、期刊、关键词、参考文献等的计量分析与可视化呈现。[结果/结论]美国等国家生物技术两用性政策研究类文献数量较多,体现出其对该领域的重视;我国相关文献数量不多,与国外合作也较少,但国内机构间呈现一定合作关系。关键词突现分析显现出关注热点的变化,从早期的生物武器到后来的合成生物学、人工智能等。被引文献分析中,流感病毒功能获得性研究、致死性鼠痘病毒、1918流感病毒及脊髓灰质炎病毒合成等文献的被引频次较高,是生物技术两用性最具代表性的争议论文。生物技术两用性问题日益凸显,我国应进一步完善相关政策,要进一步加强相关治理工作,相关政策研究人员应重视定量化研究探索。
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”.
