The aim of this study was to map the school library research field for the last 20 years.The research questions asked were:1. Which researchers and publications can be identified in the research base of school library research in the time period 1995-2014, and what relations can be identified between them?2. Which researchers and publications can be identified in the research front of school library research in the time period 1995-2014, and what relations can be identified between them?3. Which terms can be identified in school library research in the time period 1995-2014?To answer these questions, a bibliometric study of the research field was done through publications retrieved from the database Web of Science. The metadata of the documents were analyzed in VOSviewer, a software program used to find relations between publications, researchers and subject terms. The research methods used were co-citation analysis, bibliographic coupling and co-word analysis.The results indicate that Lance and Kuhlthau dominate the research base with their publications about information literacy, information searching and school library impact studies. The research front is focused on use of electronic resources, digital media and information literacy. Clyde and Montiell-Overall are the main researchers.

The aim of this study is to analyze and describe the research front within information science. To reach this purpose we ask the following research question: Which research themes can be identified within the subject field of information science by using bibliographic coupling in combination with cluster analysis.The data for our study consists of articles from the journals Journal of the American Society for Information Science and Technology and Journal of Documentation throughout the years 2004-2006. The bibliographic information from the articles was analyzed with the combined methods of bibliographic coupling and cluster analysis. This gave fifteen clusters within which we identified research themes. When analyzing these results we found four main fields of research within the research front of information science: Information retrieval, bibliometrics, knowledge organization and information science as research discipline. Information retrieval proved to be the largest field of research followed by bibliometrics and thereafter the two significantly smaller fields of research knowledge organization and information science as research discipline. When comparing our results with previous research we found that despite different choice of methods and data, there were some similarities. / Uppsatsnivå: D

The aim of this thesis is to map current scientific articles regarding the subject of classification with the assistance of bibliometrics and domain analysis to create an understanding of the scientific domain.  The thesis uses the bibliometrical methods of bibliographic coupling and co-citation analysis and the theory behind them as well as general quantitative statistical analysis in combination with the theory of domain analysis. This thesis found that the authors and journals can be divided into different areas of interest that can be seen as having their own centers but lack a common center for classification research in its entirety. These subject areas are divided into: scientometrics, knowledge organization and computer science, of which several of the authors who have published the most articles can also be found in the intellectual base. Regarding trends we see that the authors in the intellectual base has had some stability without any major changes. The same can be remarked about the journals, where the number of areas of interest in comparison with the authors' division are more numerous. The biggest difference for journals is among the trends where in recent years there has been an increase in the number of articles published and the number of subject areas in which these articles can be sorted. Among the nearby research areas, we found that the greatest interest lies in computer science and social sciences and that medicine also has an interest in classification.

This paper aims to map and contrast the research front and theresearch base of Library and Information Science (LIS) inScandinavia during 1980-1989 and 2003-2013 from articlespublished in Web of Science.The research questions are:1. How is the research base and research front in LIS inScandinavia between 1980-1989 and 2003-2012 structured?2. What differences can be observed between the two time periods1980-1989 and 2003-2012 with regards to the research base?3. What differences can be observed between the two time periods1980-1989 and 2003-2012 with regards to the research front?This study is based on bibliometrical methods and uses authorco-citation analysis and bibliographic coupling. To interpret theresults a cluster analysis were made by using the applicationVosviewer. When the cluster analysis were made, a contentanalysis were done on the titles of publications from the clusteranalysis to determine what subject category they belonged to.The results indicates that the field of LIS has a large focus oninformation science, there were hardly any trace of the libraryaspect of the field. The study also showed that the bibliometricfield has grown since 1980-1989. It was also clear that hard andsoft information retrieval had grown apart. / Program: Bibliotekarie

The purpose with this study is to map the research front and the research base in information science, by using the bibliometric methods bibliographic coupling and author-co citation analysis. The research questions are: 1. What is the nature of the research front in information science, regarding which areas that are being studied? 2. What is the nature of the research base in information science, regarding which authors who are most cited, and how they can be grouped? The data used in the study were gathered from articles published in the journal Journal of the American society for information science and technology, published between 2004-2006, respectively 1986-2006. The result was presented by using cluster analysis and MDS-maps. The study shows that the research front can be divided in to three areas: 1. Information searching and information retrieval from the World Wide Web. 2. Bibliometrics. 3. Information searching and information retrieval, not from the World Wide Web. The 50 most cited authors was identified, and could be grouped into three areas: 1. Bibliometrics, 2. General, 3. Hard-IR/Soft-IR. / Uppsatsnivå: D

The purpose of this thesis is to evaluate the combination of bibliographic coupling and three hierarchical cluster analytic techniques: average, complete and single linkage. Bibliographic coupling is applied as a measure of similarity between recently published articles and the cluster techniques are used for the partition of a set of articles into subsets of articles with similar research focus. The field of information science is applied as the test arena and the selection of data, i.e., the article population to be partitioned, is based on a number of central journals. Methods of evaluation include both quantitative approaches as well as a qualitative one. For comparing the resulting partitions, adjusted Rand index is utilized and for the establishment of cluster coherence and isolation, measures of average normalized coupling strength is applied. In an effort to quantify the degree of subject focus within clusters, normalized entropy of a cluster’s distribution of weighted descriptors is calculated. Manual inspection of cluster composition is also performed. The findings show that choice of cluster method has a profound impact on the resulting partitions. Complete linkage generated highly subject coherent clusters but produced a fragmented picture of the research field in question, i.e., the split up of research specialties. Single linkage on the other hand, performed unsatisfactory and is not recommended. It is suggested that average linkage, when combined with a stopping rule (the inconsistency coefficient), should be considered as the method of choice since it mainly generated reasonable subject coherent clusters while avoiding severe fragmentation. / Uppsatsnivå: D

An ongoing discussion concerning the possibilities of universal classification based on phenomena rather than on research disciplines has been noticed. In order to discover if this was a limited discussion or the beginning of a major new field of research a study of citations was made using the database Web of Science. In addition, references of the works concerned were studied to find out where the ideas originated. The study of references shows that the ideas originate in a limited number of older published works, some of them well established in Information Science, some of them less generally known. The main ideas commonly used in Information Science are Ranganathan’s facet theories and the work of the Classification Research Group. The less familiar notions include the philosophy of Nicolai Hartmann, most of whose works are only available in German. Hartmann’s “stratified” ontology has received particular attention, and some writers argue that it could be combined with suggestions about integrative levels brought forth by the Classification Research Group in order to form a new and improved system of classification. While the survey of articles, references and citations reveals no major impact on the field of Information Science as yet, it also shows that the discussion is likely to continue for some time and that it may influence future research by questioning disciplines and reviving the interest in some theories deserving recognition. / Program: Bibliotekarie

Objectives: The aim in this thesis has been to generate information relevant for strategic positioning and future evaluations within the scientific field of sport and exercise psychology. This has been done by request, and in collaboration with The Group of Sport and Exercise Psychology at the Institution of Psychology at the University of Umeå. Research questions:  (1) How does the cognitive structure within the field of sport and exercise psychology take shape with respect to research topics in current sport-psychological research, i.e. the research front? (2) How does the social structure within the field of sport and exercise psychology take shape with respect to formal scientific collaboration? Data: 879 articles published between 2008-2011 were used in this study. The population of articles were collected from a set of 5 core journals: International Journal of Sport Psychology, Journal of Applied Sport Psychology, Journal of Sport and Exercise Psychology, The Sport Psychologist, Psychology of Sport and Exercise. The original set was expanded by collecting relevant sport psychology articles from Scandinavian Journal of Medicine & Science in Sports and Journal of Sports Sciences. Methods: (1) The bibliometric indicator normalized bibliographic coupling combined with hierarchical agglomerative cluster analysis was used for mapping the research front. With this approach articles are basically clustered with respect to shared refererences, which in this context is understood as a measure of topical similarity. (2)  For the mapping of social structures a collaboration analysis was performed by extracting and visualizing social networks based on the bibliometric indicator coauthorship.     Results: (1) Identification and classification of 80 clusters based on topical similarity in collaboration with a subject expert. (2) Providing a map of formal scientific collaborations between countries based on coauthorship. (3) Providing a map of social networks based on coauthorships between individual researchers. (4) Identification and contextualization of central researchers based on production within the visualized coauthor network. The publications of each researcher were traced to corresponding clusters in the research front to gain information about in which subject areas and topics these central researchers publish. (5) Identification of research groups with high coauthor values, i.e. high intensity in their formal collaboration. Furthermore the publications from these groups were connected to corresponding clusters, i.e. giving information about in which subject areas and topics these groups publish.