Download or read book Author Cocitation Analysis written by Sean B. Eom and published by IGI Global Snippet. This book was released on 2009 with total page 347 pages. Available in PDF, EPUB and Kindle. Book excerpt: Provides a blueprint for researchers to follow in a wide variety of investigations. Introduces an alternative approach to conducting author cocitation analysis (ACA) without relying on commercial citation databases.
Download or read book Author Cocitation Analysis Quantitative Methods for Mapping the Intellectual Structure of an Academic Discipline written by Eom, Sean B. and published by IGI Global. This book was released on 2008-11-30 with total page 368 pages. Available in PDF, EPUB and Kindle. Book excerpt: Provides a blueprint for researchers to follow in a wide variety of investigations. Introduces an alternative approach to conducting author cocitation analysis (ACA) without relying on commercial citation databases.
Download or read book Mining Author Cocitation Data with SAS Enterprise Guide written by Mohamed Ridda Laouar and published by Cambridge Scholars Publishing. This book was released on 2015-04-01 with total page 230 pages. Available in PDF, EPUB and Kindle. Book excerpt: Author cocitation analysis (ACA) is a subfield of informetrics, which is a broader term referring to the quantitative study of retrieval and processing bibliometric data collected from all types of communication media, including journals, books, and conference proceedings. While ACA is one of the few research methodologies that transcend the individual field of inquiry, and despite its usefulness and capabilities to reveal a larger vista hidden in bibliographic databases, it is not a particularly popular research tool in some academic disciplines. This book covers all essential ACA topics for graduate students and researchers who want to learn the basics and the research techniques to delineate the intellectual structure of various academic disciplines, compare cumulative research traditions, demonstrate theoretical differences between competing approaches, and to trace a paradigm shift in various academic disciplines over time.
Download or read book Author Co citation Analysis Using Custom Bibliographic Databases written by Sean B. Eom and published by . This book was released on 2003 with total page 232 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book introduces an alternative approach to conducting author co-citation analysis (ACA) without relying on commercial citation databases such as index ISI citation index, based on custom bibliographic database and co-citation matrix generation systems specifically developed to use the custom database. authors of cited references. The inability to access non-primary authors is a critical shortcoming of ACA research utilizing the commercial databases. provides explicit instructions to build bibliographic databases, process them to compile co-citation matrix, prepare SAS input files, and interpret the results. It provides a useful, instructional guideline to conduct research regardless of the bibliographic databases used - in-house databases or commercial citation databases.
Download or read book Appropriate Similarity Measures for Author Cocitation Analysis written by Nees Jan van Eck and published by . This book was released on 2010 with total page 17 pages. Available in PDF, EPUB and Kindle. Book excerpt: We provide a number of new insights into the methodological discussion about author cocitation analysis. We first argue that the use of the Pearson correlation for measuring the similarity between authors' cocitation profiles is not very satisfactory. We then discuss what kind of similarity measures may be used as an alternative to the Pearson correlation. We consider three similarity measures in particular. One is the well-known cosine. The other two similarity measures have not been used before in the bibliometric literature. Finally, we show by means of an example that our findings have a high practical relevance.
Download or read book Analysis and Visualization of Citation Networks written by Dangzhi Zhao and published by Morgan & Claypool Publishers. This book was released on 2015-02-01 with total page 209 pages. Available in PDF, EPUB and Kindle. Book excerpt: Citation analysis—the exploration of reference patterns in the scholarly and scientific literature—has long been applied in a number of social sciences to study research impact, knowledge flows, and knowledge networks. It has important information science applications as well, particularly in knowledge representation and in information retrieval. Recent years have seen a burgeoning interest in citation analysis to help address research, management, or information service issues such as university rankings, research evaluation, or knowledge domain visualization. This renewed and growing interest stems from significant improvements in the availability and accessibility of digital bibliographic data (both citation and full text) and of relevant computer technologies. The former provides large amounts of data and the latter the necessary tools for researchers to conduct new types of large-scale citation analysis, even without special access to special data collections. Exciting new developments are emerging this way in many aspects of citation analysis. This book critically examines both theory and practical techniques of citation network analysis and visualization, one of the two main types of citation analysis (the other being evaluative citation analysis). To set the context for its main theme, the book begins with a discussion of the foundations of citation analysis in general, including an overview of what can and what cannot be done with citation analysis (Chapter 1). An in-depth examination of the generally accepted steps and procedures for citation network analysis follows, including the concepts and techniques that are associated with each step (Chapter 2). Individual issues that are particularly important in citation network analysis are then scrutinized, namely: field delineation and data sources for citation analysis (Chapter 3); disambiguation of names and references (Chapter 4); and visualization of citation networks (Chapter 5). Sufficient technical detail is provided in each chapter so the book can serve as a practical how-to guide to conducting citation network analysis and visualization studies. While the discussion of most of the topics in this book applies to all types of citation analysis, the structure of the text and the details of procedures, examples, and tools covered here are geared to citation network analysis rather than evaluative citation analysis. This conscious choice was based on the authors’ observation that, compared to evaluative citation analysis, citation network analysis has not been covered nearly as well by dedicated books, despite the fact that it has not been subject to nearly as much severe criticism and has been substantially enriched in recent years with new theory and techniques from research areas such as network science, social network analysis, or information visualization.
Download or read book Measuring Research written by Cassidy R. Sugimoto and published by Oxford University Press. This book was released on 2018 with total page 169 pages. Available in PDF, EPUB and Kindle. Book excerpt: Policy makers, academic administrators, scholars, and members of the public are clamoring for indicators of the value and reach of research. The question of how to quantify the impact and importance of research and scholarly output, from the publication of books and journal articles to the indexing of citations and tweets, is a critical one in predicting innovation, and in deciding what sorts of research is supported and whom is hired to carry it out. There is a wide set of data and tools available for measuring research, but they are often used in crude ways, and each have their own limitations and internal logics. Measuring Research: What Everyone Needs to Know(R) will provide, for the first time, an accessible account of the methods used to gather and analyze data on research output and impact. Following a brief history of scholarly communication and its measurement -- from traditional peer review to crowdsourced review on the social web -- the book will look at the classification of knowledge and academic disciplines, the differences between citations and references, the role of peer review, national research evaluation exercises, the tools used to measure research, the many different types of measurement indicators, and how to measure interdisciplinarity. The book also addresses emerging issues within scholarly communication, including whether or not measurement promotes a "publish or perish" culture, fraud in research, or "citation cartels." It will also look at the stakeholders behind these analytical tools, the adverse effects of these quantifications, and the future of research measurement.
Download or read book Appropriate Similarity Measures for Author Cocitation Analysis written by Nees Jan van Eck and published by . This book was released on 2007 with total page 12 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Download or read book Developing a Coherent Framework for Author Co citation Analysis written by Chiladda Chennawasin and published by . This book was released on 2003 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt:
Download or read book Improving Author Co citation Analysis in Scientific Literature by Using Citation Function Classification written by Constantin Seibold and published by . This book was released on 2016 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt:
Download or read book Marketing Opportunities and Challenges in a Changing Global Marketplace written by Shuang Wu and published by Springer Nature. This book was released on 2020-06-15 with total page 701 pages. Available in PDF, EPUB and Kindle. Book excerpt: This proceedings volume explores marketing opportunities and challenges that exist in the current, fast-changing landscape of the global marketplace. Current global issues such as the rising middle class in emerging markets, disruptive technological breakthroughs, big data analytics, changing consumer habits and concerns over national trade policies have renewed ethical concerns around consumer privacy and the tools companies use to operate, market to, connect and build a relationship with their customers. Featuring the full proceedings from the 2019 Academy of Marketing Science (AMS) Annual Conference held in Vancouver, Canada, this book explores and assess the rate of change that drives companies to evaluate and adapt their marketing strategies to remain competitive. Founded in 1971, the Academy of Marketing Science is an international organization dedicated to promoting timely explorations of phenomena related to the science of marketing in theory, research, and practice. Among its services to members and the community at large, the Academy offers conferences, congresses, and symposia that attract delegates from around the world. Presentations from these events are published in this Proceedings series, which offers a comprehensive archive of volumes reflecting the evolution of the field. Volumes deliver cutting-edge research and insights, complementing the Academy’s flagship journals, the Journal of the Academy of Marketing Science (JAMS) and AMS Review (AMSR). Volumes are edited by leading scholars and practitioners across a wide range of subject areas in marketing science.
Download or read book The SAGE Handbook of Social Network Analysis written by John Scott and published by SAGE Publications. This book was released on 2011-05-25 with total page 641 pages. Available in PDF, EPUB and Kindle. Book excerpt: This sparkling Handbook offers an unrivalled resource for those engaged in the cutting edge field of social network analysis. Systematically, it introduces readers to the key concepts, substantive topics, central methods and prime debates. Among the specific areas covered are: Network theory Interdisciplinary applications Online networks Corporate networks Lobbying networks Deviant networks Measuring devices Key Methodologies Software applications. The result is a peerless resource for teachers and students which offers a critical survey of the origins, basic issues and major debates. The Handbook provides a one-stop guide that will be used by readers for decades to come.
Download or read book Citation Analysis in Research Evaluation written by Henk F. Moed and published by Springer Science & Business Media. This book was released on 2006-03-30 with total page 334 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book is written for members of the scholarly research community, and for persons involved in research evaluation and research policy. More specifically, it is directed towards the following four main groups of readers: – All scientists and scholars who have been or will be subjected to a quantitative assessment of research performance using citation analysis. – Research policy makers and managers who wish to become conversant with the basic features of citation analysis, and about its potentialities and limitations. – Members of peer review committees and other evaluators, who consider the use of citation analysis as a tool in their assessments. – Practitioners and students in the field of quantitative science and technology studies, informetrics, and library and information science. Citation analysis involves the construction and application of a series of indicators of the ‘impact’, ‘influence’ or ‘quality’ of scholarly work, derived from citation data, i.e. data on references cited in footnotes or bibliographies of scholarly research publications. Such indicators are applied both in the study of scholarly communication and in the assessment of research performance. The term ‘scholarly’ comprises all domains of science and scholarship, including not only those fields that are normally denoted as science – the natural and life sciences, mathematical and technical sciences – but also social sciences and humanities.
Download or read book Domain Analysis for Knowledge Organization written by Richard Smiraglia and published by Chandos Publishing. This book was released on 2015-06-15 with total page 116 pages. Available in PDF, EPUB and Kindle. Book excerpt: Domain analysis is the process of studying the actions, knowledge production, knowledge dissemination, and knowledge-base of a community of commonality, such as an academic discipline or a professional community. The products of domain analysis range from controlled vocabularies and other knowledge organization systems, to scientific evidence about the growth and sharing of knowledge and the evolution of communities of discourse and practice.In the field of knowledge organization- both the science and the practice domain analysis is the basic research method for identifying the concepts that will be critical building blocks for knowledge organization systems. This book will survey the theoretical rationale for domain analysis, present tutorials in the specific methods of domain analysis, especially with regard to tools for visualizing knowledge domains. Focuses on the science and practice of organizing knowledge Includes step-by-step instructions to enable the book to be used as a textbook or a manual for researchers
Download or read book Mapping of Science written by Robert R. Braam and published by . This book was released on 1991 with total page 354 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Download or read book Explorations in Automatic Thesaurus Discovery written by Gregory Grefenstette and published by Springer Science & Business Media. This book was released on 1994-07-31 with total page 324 pages. Available in PDF, EPUB and Kindle. Book excerpt: Explorations in Automatic Thesaurus Discovery presents an automated method for creating a first-draft thesaurus from raw text. It describes natural processing steps of tokenization, surface syntactic analysis, and syntactic attribute extraction. From these attributes, word and term similarity is calculated and a thesaurus is created showing important common terms and their relation to each other, common verb--noun pairings, common expressions, and word family members. The techniques are tested on twenty different corpora ranging from baseball newsgroups, assassination archives, medical X-ray reports, abstracts on AIDS, to encyclopedia articles on animals, even on the text of the book itself. The corpora range from 40,000 to 6 million characters of text, and results are presented for each in the Appendix. The methods described in the book have undergone extensive evaluation. Their time and space complexity are shown to be modest. The results are shown to converge to a stable state as the corpus grows. The similarities calculated are compared to those produced by psychological testing. A method of evaluation using Artificial Synonyms is tested. Gold Standards evaluation show that techniques significantly outperform non-linguistic-based techniques for the most important words in corpora. Explorations in Automatic Thesaurus Discovery includes applications to the fields of information retrieval using established testbeds, existing thesaural enrichment, semantic analysis. Also included are applications showing how to create, implement, and test a first-draft thesaurus.
Download or read book The Challenge of Scientometrics written by Loet Leydesdorff and published by Universal-Publishers. This book was released on 2001 with total page 360 pages. Available in PDF, EPUB and Kindle. Book excerpt: Scientometrics--the quantitative study of scientific communication--challenges science and technology studies by demonstrating that organized knowledge production and control is amenable to measurement. First, the various dimensions of the empirical study of the sciences are clarified in a methodological analysis of theoretical traditions, including the sociology of scientific knowledge and neo-conventionalism in the philosophy of science. Second, the author argues why the mathematical theory of communication enables us to address crucial problems in science and technology studies, both on the qualitative side (e.g., the significance of a reconstruction) and on the quantitative side (e.g., the prediction of indicators). A comprehensive set of probabilistic entropy measures for studying complex developments in networks is elaborated. In the third part of the study, applications to S&T policy questions (e.g., the emergence of a European R&D system), to problems of (Bayesian) knowledge representations, and to the study of the sciences in terms of 'self-organizing' paradigms of scientific communication are provided. A discussion of directions for further research concludes the study.
