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The Study Of Construction Knowledge Domains Map On Chinese Agricultural History Subject By Co-Occurrence Analysis On Scientometrics

Posted on:2010-05-28Degree:DoctorType:Dissertation
Country:ChinaCandidate:C J QinFull Text:PDF
GTID:1103360305486640Subject:History of science and technology
Abstract/Summary:PDF Full Text Request
This approach, which uses the mathematical statistical theory and methods to describe, analyze, interpret the phenomenon of history, is called cliometrics. As a research method, after it is introduced to the study of history, especially with the application and popularization of modern computer information technology, making it quickly access to many areas of historical research, it becomes an important feature of time in historical research methods. History of Science and Technology as a interdisciplinary subject in Scienology and History, at the same time, with the speed development of its quantitative studies, scientometrics borned as a new research field. Now, it has become an importmant research tool as a branch of History of Science and Technology and Scienology.Knowledge Domains map, the new technology on the field of Scientometrics, combines Scientometrics with applied mathematics,graphics,information science,computer science subjects and so on, and expresses the core structure, the latest development and new research direction in the related knowledge field by visual image. This brand-new Knowledge Domains Map can reveal the dynamic development law. It adopts such technologies as graph theory, network analysis and co-occurrence analysis. So far, Knowledge Domains Map has been applied in many developed countries and made good achievements. It has got a preliminary study and exploration in our country.A large number of documents show that the latest technological methods are used in Natural Sciences and Management Sciences, and not applied in The Humanities, especially domestic Literature and History subject. Therefore, it is a great loss and defects in the study of The Humanities in our country. Natural Sciences, Technical Sciences and The Humanities, Social Sciences have the general and specific character. Because of The Humanities and Social Sciences and their literatures do not have the characteristics of the Natural Sciences, the study methods on the development history of The Humanities and Social Sciences are more complexity and specificity, its methods are quite different from the Natural Sciences. The experts of The Humanities and Social Sciences have been concerning about the issues.Therefore, This paper tries to introduce the study methods of knowledge Domains map to the study of the development history of The Humanities, it has much more important academic value. This paper attempts to build a comprehensive knowledge Domains map of Chinese Agricultural History subject, and to examine the applicability and scientific of the advanced research methods used in the study of the development history of The Humanities by empirical study. Through empirical analysis, it discusses whether the methods in the study of the development history of The Humanities are applicable and Science? How much error? What's the problems? What's the reason? What's the difference from the former chosen as Natural Sciences of research object? And so on. Therefore, the research and empirical analysis of this paper will be more important academic significance:(1) The study of knowledge Domains map expands to the development history of The Humanities, which will have an important influence and reference on the intensive study of Chinese Scientometrics and knowledge Domains map.(2) It also has a certain academic value and practical application significance to the study of The Humanities and Social Sciences in China. To some extent, knowledge Domains map can make the study of the development history of The Humanities become more "scientific", "precision" and "objective ". Because even Senior Experts in this subject, they are inevitably affected by their own subjectivity. In a certain sense, knowledge Domains map can avoid bias caused by subjectivity so as to show the development history of The Humanities and Social Sciences in China, and to reveal the historical evolution and development trend of The Humanities and Social Sciences, and to provide objective and meaningful reference.(3) The research of the development of discipline is an important aspect in the study of History of Science and Technology, Agricultural History is a research field which covers many subjects relatively, including the historical contents of agricultural production, countryside economy, peasant life, and so on. It refers to many related subjects, such as agricultural science, history, economies, ect. The Knowledge Domains map of Chinese Agricultural History subject all-roundly, vividly shows the development history of Chinese Agricultural History subject with unique Angle of view, meanwhile it also has certain practical significance to the development of Chinese Agricultural History subject.(4) It also has certain stimulative effect to the study of Chinese History of Science and Technology. To some extent, knowledge Domains map can compensate for professional quality that researchers on Scientometrics and History of Science and Technology are lack of. It can help researchers to the relevant professional development history have roughly understanding, and be master of relevant profession rapidly.The main research methods in this thesis are:keywords co-occurrence analysis, co-citation analysis for author and journal in scientometircs and bibliometric, and the traditional methods such as cluster analysis, factor analysis, multidimensional scaling analysis and social network analysis on the main research direction and main field, academic schools and structure and the relations with other related subjects in the different periods of Chinese Agricultural History subject to build the all-round Knowledge Map.Specifically, the main research contents are as follows:(1) The theoretical basis and technological methods of Knowledge Domains Map. This paper introduces the definition and development of Scientometrics; it elaborates the definition of Knowledge Domains Map; it discusses the theory basis of Knowledge Domains Map; it analyzes the main technology of building Knowledge Domains Map; the introduction and comparison of several softwares that are stressed on abroad but known little in our country.(2) The academic significance and design ideas to build knowledge Domains maps of Chinese Agricultural History subject. Based on the advancing front method of knowledge Domains map and its present research level and deficiency, the paper dissertates the necessity and urgency of the study from two aspects; it illustrates the significance of academic research and academic values from four facets; at the same time, it sets forth the design ideas of this study combining the characteristics of Chinese Agricultural History subject with the features of co-word and co-cited analysis.(3) The hotspots of Chinese agricultural history subject and its'knowledge Domains map of the main research expertise which base on keywords co-occurrence analysis. Set up the co-word database of Chinese agricultural history. In this paper, we carry out co-word analysis of Chinese agricultural history literature for 1980-1995 and 1996-2008 separately, and draw coordinates figures and the relationship of clusters via traditional cluster analysis and advanced social network analysis methods and software to build the hotspots of Chinese agricultural history subject and its'evolutional knowledge Domains map of the main research expertise, and to analyze the hotspots of Chinese agricultural history subject and the main research expertise how to intersect,infiltration and transfer in different period.(4) The academic schools and knowledge Domains map of the subject structure which base on author co-citation analysis. Build Chinese agricultural history disciplines Citation Database in order to choose its'specific author scope and number. In this paper, we mainly use author co-citation analysis to build academic schools and knowledge Domains map of the subject structure, and to analyze the most important branch of the subject and the most influential scholars and groups of each branch via the traditional factor analysis, Cluster analysis, multidimensional scaling analysis, as well as advanced social network analysis methods and software. At the same time, analyze the causes and effects on the differences of knowledge Domains map depending on the two techniques.(5) The knowledge Domains map of Chinese agricultural history subject and its neighboring disciplines based on journal co-citation analysis. Choose its' specific journal scope and number. In this paper, we mainly use advanced social network analysis methods and software to build the knowledge Domains map of Chinese agricultural history subject and its neighboring disciplines, and to analyze the relationship between Chinese agricultural history and its neighboring disciplines, and to study its' influence and penetration, so that it can provide meaningful reference to promote the development and circuminsession of its own and other disciplines.Finally, the paper gives a conclusion about the study, and expounds problems which must be dealt with urgently in the future.The main contribution of this paper is as follows:(1) Research object. It is the first time to try to put keywords, authors, journals, thesis studied together as research object to build a comprehensive knowledge Domains map of Chinese agricultural history subject. This is the first attempt to build a full range of knowledge Domains map to domestic one specific subject areas. The research object is selected as the very traditional sophisticated literature and history subject-agricultural history, therefore it is more difficult. Because it is quite difficult for the very traditional,sophisticated literature and history subject to choose suitable data to analyze, its literature and citation own strong features, including a wide range of gray literatures and large quantities of ancient literature, having long half-life, the difficulty of its data source compares with very active natural and management sciences which often are used as scientometrics and bibliometrics research object. Therefore, the study to the development of domestic scientometrics and knowledge Domains map is a useful exploration. This paper uses the methods of knowledge Domains map on the study of development history of The Humanities in our country, and it demonstrates the effectiveness in the study of development history of domestic The Humanities by knowledge Domains map—he method of Sientometrics, it is also a meaningful,innovative attempt in the study method of History of Science and Technology.(2) Research methods. According to the different features between co-word analysis and co-citation analysis, it is the first time to combine these two approaches to build knowledge Domains map in our country. There is the only one in our country to combine advanced social network analysis method and software Pajek with the traditional multidimensional scaling analysis techniques, cluster analysis techniques, factor analysis techniques to compare and analyze. Through comparing and analyzing the differences of knowledge Domains maps via adopting the two different methods, it is proved the respective characteristics of the two methods from the empirical point of view and meaningful reference for the future analysis and research. It is also the first time to adopt social network analysis software—Pajek, to draw the cluster relationship diagram.(3) The theory and technical methods of knowledge Domains map are summarized systematically for the first time in our country; the paper knows the relationship between knowledge Domains map and information visualization,knowledge management,knowledge map; the introduction and comparison of several softwares that are stressed on abroad but known little in our country. So the paper provides a theoretical and practical reference for domestic knowledge Domains map research.
Keywords/Search Tags:Knowledge Domains map, Agricultural history, Scientometrics, Pajek, Co-word analysis, Co-citation Analysis
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