This presentation was a preliminary overview of the research being undertaken by Iina Hellsten and Sarah Cummings. It provides a first outline of what we are planning to do.
information visualisation and its application in scientometricsGauhati University
This document summarizes a presentation about using information visualization in scientometrics. It discusses how visualization can be used to analyze and understand scientometrics data at different levels, from individual to global. It provides examples of tools like Sci2 that can perform network analysis and visualization of scientometrics datasets. Sci2 allows input of various data formats and visualization of temporal, geospatial, topical and network patterns in scientometric data.
The document discusses the application of scientometrics tools and techniques in analyzing literature published in the IEEE Transactions on Software Engineering. It provides background on bibliometrics and scientometrics. Metrics analyzed included annual paper output, authorship trends, citations, countries of publication, number of references, and international collaborations. Most publications came from authors in the US. Bibliometrics can be used by librarians to evaluate collections, user needs, budget allocation, and more.
Scientometrics is the quantitative study of science, communication in science, and science policy. It involves the analysis, evaluation, and visualization of science using quantitative methods. Some key points:
- The term was coined in 1969 in Russia and gained recognition after the founding of the journal Scientometrics in 1978.
- It applies bibliometric methods to measure the impact and quality of science by analyzing patterns of citation and publication.
- Important indicators include the journal impact factor, h-index, and citation analysis which are used to evaluate scientific institutions, departments, and individual researchers.
- Tools like CiteSpace and Authormap are used to map and visualize citation networks and trends within literature.
This document proposes a framework to quantify researcher diversity and its impact on productivity and awards. It suggests measuring diversity using Shannon entropy based on researchers' publication topics classified with MeSH terms. Higher diversity is correlated with lower productivity but higher awards. Future work could involve larger datasets and distinguishing specialists in the "long tail" from generalists at the "head of the tail".
This document discusses bibliometrics, scientometrics, citation analysis, and content analysis. It defines bibliometrics as the quantitative study of recorded information and describes common tools used in bibliometrics like the Science Citation Index. Key variables that are studied include authors, origin, sources, contents, and citations. Important laws and methods in bibliometrics are also summarized, such as Lotka's Law, Bradford's Law, and Zipf's Law. Scientometrics is defined as the quantitative study of science output using bibliometric methods. Citation analysis examines citation patterns and links between scholarly works.
Accuracy of citation data in Web of Science and ScopusNees Jan van Eck
This document analyzes the accuracy of citation data in Web of Science (WoS) and Scopus by comparing reference data from Elsevier journal publications to the reference data in WoS and Scopus. The analysis found inaccuracies in about 1% of references in both WoS and Scopus. For WoS, there were issues with missing and incorrect references. For Scopus, problems included duplicate publications and citation matching errors. There were also large discrepancies in citation counts between the two databases and over time for some highly-cited publications. The document concludes that citation data in both WoS and Scopus suffers from significant inaccuracies.
This document provides an overview of bibliometrics and scientometrics. It defines bibliometrics as the application of mathematical and statistical methods to books and other media, and scientometrics as the application of quantitative methods to analyze science as an information process. The lecture covers the history of bibliometrics, key data sources, basic metadata used for indicators, and four types of bibliometric indicators: research activity, research profile, research collaboration, and impact on further research. It also discusses the use of bibliometrics in evaluating the social sciences and humanities as well as research assessment.
This tutorial deals with two software tools: VOSviewer and CitNetExplorer. VOSviewer (www.vosviewer.com) is a freely available tool for constructing and visualizing bibliographic coupling, co-citation, co-authorship, and term co-occurrence networks. These networks can be constructed based on data downloaded from Web of Science or Scopus. CitNetExplorer (www.citnetexplorer.nl) is a freely available tool for analyzing and visualizing citation networks of publications.
The aim of the tutorial is to provide the participants with a basic knowledge of VOSviewer and CitNetExplorer. Given time constraints, it will not be possible to explore the two tools in a fully comprehensive way, but the tutorial will offer a thorough introduction into the most essential features of the tools. This should be sufficient for the participants to perform all basic analyses that can be done using VOSviewer and CitNetExplorer. In addition, it should allow the participants to independently explore the tools in more detail.
The lecturers are Nees Jan van Eck and Ludo Waltman, both affiliated to the Centre for Science and Technology Studies (CWTS) of Leiden University. Nees Jan and Ludo are the developers and VOSviewer and CitNetExplorer, and they therefore have an in-depth knowledge of both software tools. Nees Jan and Ludo regularly organize courses and workshops on VOSviewer and CitNetExplorer (see for instance www.cwts.nl/Bibliometric-Network-Analysis-and-Science-Mapping-Using-VOSviewer), so they have a lot of experience in training people in the use of these tools.
information visualisation and its application in scientometricsGauhati University
This document summarizes a presentation about using information visualization in scientometrics. It discusses how visualization can be used to analyze and understand scientometrics data at different levels, from individual to global. It provides examples of tools like Sci2 that can perform network analysis and visualization of scientometrics datasets. Sci2 allows input of various data formats and visualization of temporal, geospatial, topical and network patterns in scientometric data.
The document discusses the application of scientometrics tools and techniques in analyzing literature published in the IEEE Transactions on Software Engineering. It provides background on bibliometrics and scientometrics. Metrics analyzed included annual paper output, authorship trends, citations, countries of publication, number of references, and international collaborations. Most publications came from authors in the US. Bibliometrics can be used by librarians to evaluate collections, user needs, budget allocation, and more.
Scientometrics is the quantitative study of science, communication in science, and science policy. It involves the analysis, evaluation, and visualization of science using quantitative methods. Some key points:
- The term was coined in 1969 in Russia and gained recognition after the founding of the journal Scientometrics in 1978.
- It applies bibliometric methods to measure the impact and quality of science by analyzing patterns of citation and publication.
- Important indicators include the journal impact factor, h-index, and citation analysis which are used to evaluate scientific institutions, departments, and individual researchers.
- Tools like CiteSpace and Authormap are used to map and visualize citation networks and trends within literature.
This document proposes a framework to quantify researcher diversity and its impact on productivity and awards. It suggests measuring diversity using Shannon entropy based on researchers' publication topics classified with MeSH terms. Higher diversity is correlated with lower productivity but higher awards. Future work could involve larger datasets and distinguishing specialists in the "long tail" from generalists at the "head of the tail".
This document discusses bibliometrics, scientometrics, citation analysis, and content analysis. It defines bibliometrics as the quantitative study of recorded information and describes common tools used in bibliometrics like the Science Citation Index. Key variables that are studied include authors, origin, sources, contents, and citations. Important laws and methods in bibliometrics are also summarized, such as Lotka's Law, Bradford's Law, and Zipf's Law. Scientometrics is defined as the quantitative study of science output using bibliometric methods. Citation analysis examines citation patterns and links between scholarly works.
Accuracy of citation data in Web of Science and ScopusNees Jan van Eck
This document analyzes the accuracy of citation data in Web of Science (WoS) and Scopus by comparing reference data from Elsevier journal publications to the reference data in WoS and Scopus. The analysis found inaccuracies in about 1% of references in both WoS and Scopus. For WoS, there were issues with missing and incorrect references. For Scopus, problems included duplicate publications and citation matching errors. There were also large discrepancies in citation counts between the two databases and over time for some highly-cited publications. The document concludes that citation data in both WoS and Scopus suffers from significant inaccuracies.
This document provides an overview of bibliometrics and scientometrics. It defines bibliometrics as the application of mathematical and statistical methods to books and other media, and scientometrics as the application of quantitative methods to analyze science as an information process. The lecture covers the history of bibliometrics, key data sources, basic metadata used for indicators, and four types of bibliometric indicators: research activity, research profile, research collaboration, and impact on further research. It also discusses the use of bibliometrics in evaluating the social sciences and humanities as well as research assessment.
This tutorial deals with two software tools: VOSviewer and CitNetExplorer. VOSviewer (www.vosviewer.com) is a freely available tool for constructing and visualizing bibliographic coupling, co-citation, co-authorship, and term co-occurrence networks. These networks can be constructed based on data downloaded from Web of Science or Scopus. CitNetExplorer (www.citnetexplorer.nl) is a freely available tool for analyzing and visualizing citation networks of publications.
The aim of the tutorial is to provide the participants with a basic knowledge of VOSviewer and CitNetExplorer. Given time constraints, it will not be possible to explore the two tools in a fully comprehensive way, but the tutorial will offer a thorough introduction into the most essential features of the tools. This should be sufficient for the participants to perform all basic analyses that can be done using VOSviewer and CitNetExplorer. In addition, it should allow the participants to independently explore the tools in more detail.
The lecturers are Nees Jan van Eck and Ludo Waltman, both affiliated to the Centre for Science and Technology Studies (CWTS) of Leiden University. Nees Jan and Ludo are the developers and VOSviewer and CitNetExplorer, and they therefore have an in-depth knowledge of both software tools. Nees Jan and Ludo regularly organize courses and workshops on VOSviewer and CitNetExplorer (see for instance www.cwts.nl/Bibliometric-Network-Analysis-and-Science-Mapping-Using-VOSviewer), so they have a lot of experience in training people in the use of these tools.
The document discusses bibliometrics and bibliometric laws. It defines bibliometrics as the application of mathematical and statistical methods to bibliographic information, and discusses its origins and objectives. Three important bibliometric laws are covered: Lotka's law describes the frequency of publication by authors, Bradford's law explains the scattering of articles across journals, and Zipf's law concerns the frequency of word usage. In conclusion, bibliometrics is an important tool in library and information science for studying information processes and flows.
Visual exploration of scientific literature using VOSviewer and CitNetExplorerNees Jan van Eck
Presentation at the International Conference on ICT enhanced Social Sciences and Humanities 2020, July 1, 2020.
It is essential for researchers to have an up-to-date understanding of the literature in their research field. However, keeping up with all relevant literature is highly time consuming. Bibliometric visualizations can support this task. These visualizations provide intuitive overviews of the literature in a research field, enabling researchers to obtain a better understanding of the structure and development of a field and to get an impression of the most significant contributions made in the field.
In this talk, I will give an introduction to two software tools for bibliometric visualization: VOSviewer (www.vosviewer.com) and CitNetExplorer (www.citnetexplorer.nl). VOSviewer is a popular tool for visualizing bibliometric networks of publications, authors, journals, and keywords. CitNetExplorer is a tool for the visualization and analysis of citation networks of scientific publications. I will pay special attention to applications of VOSviewer and CitNetExplorer in the social sciences and humanities, focusing in particular on the use of advanced text mining, network analysis, and visualization techniques for analyzing large amounts of textual data.
This document discusses large-scale visualization of science using bibliometric networks and analysis techniques. It summarizes two bibliographic data sources, Web of Science and Scopus, that can be used to construct citation, co-authorship, keyword co-occurrence, and other networks. Software tools like VOSviewer and CitNetExplorer are presented that enable interactive visualization and analysis of these networks to gain insights into the structure and evolution of science. Specific examples demonstrate classification systems of science fields, network analyses of the scientometrics subfield and the graphene subfield, and visualizations of China's and Wuhan University's scholarly output over time.
Presentation at the Data Science seminar at the Faculty of Social and Behavioural Sciences, Leiden University, Leiden, The Netherlands, December 7, 2018.
Bibliometric network analysis: Software tools, techniques, and an analysis o...Nees Jan van Eck
This document summarizes a presentation about bibliometric network analysis tools and techniques. It discusses two software tools, VOSviewer and CitNetExplorer, that are used to construct and visualize bibliometric networks. It also outlines various network analysis techniques, including layout algorithms, community detection methods, and a unified approach to mapping and clustering networks. Finally, it provides an analysis of the structure and evolution of the field of network science based on a large bibliometric dataset.
This document provides an overview of bibliometrics and discusses several key bibliometric techniques and laws. It begins with definitions of bibliometrics and related terms. It then describes various bibliometric techniques including citation analysis, citation indexing, self-citation, publication counts, direct citations, bibliographic coupling, and co-citation coupling. Several bibliometric laws are also covered, such as Bradford's law of scattering, Lotka's law, and Zipf's law. The document concludes by discussing the foundations and uses of bibliometric studies, which include measuring relationships between authors, journals, and fields as well as research evaluation and management.
This document provides an introduction to bibliometrics for researchers. It aims to look at methods of identifying and interpreting research performance data as a measure of research impact. The outcomes are to use citation analysis tools to evaluate research impact, understand the limitations of bibliometrics, and utilize publishing strategies to improve citation performance. The format includes an introduction to research evaluation, citation impact, journal impact, caveats to bibliometrics, and publishing strategies including open access. It then discusses citation impact, journal impact factors, limitations of bibliometrics, and exercises to find citation counts and impact factors.
Presented at the University of Canterbury Gradfest, "Where to publish" is a short presentation designed to help new postgraduate students think about new and non-traditional modes of publishing, such as Institutional and disciplinary repositories, the difference between gold and green Open Access, and other ways to make research more visible.
Haustein, S. (2017). The evolution of scholarly communication and the reward ...Stefanie Haustein
Haustein, S. (2017, February). The evolution of scholarly communication and the reward system of science. Fourth Annual KnoweScape Conference 2017, 22–24 February 2017, Sofia (Bulgaria). keynote
http://knowescape.org/knowescape2017/
The document discusses various tools from Thomson Reuters for research evaluation, including Web of Science for analyzing scholarly literature and citations, EndNote Web for managing references and citations, and ResearcherID for identifying individual researchers and analyzing their impact, collaboration networks, and publications. It provides demonstrations of these tools' capabilities for analyzing research at the journal, institution, and individual researcher levels.
The document discusses bibliographic coupling, co-citation coupling, and obsolescence. It defines bibliographic coupling as the relationship between two works that cite a common work, and co-citation coupling as the relationship between two works that are both cited by a third work. It outlines criticisms of bibliographic coupling and describes how co-citation coupling and author co-citation analysis evolved as alternative methods. Uses of bibliographic coupling include finding related research and understanding the development of new subjects. The document also defines obsolescence as the reduced use of information over time, and lists reasons for and criteria to measure the declination in usage of information.
The document provides an overview of the Web of Knowledge platform and its various databases and features. It describes the Web of Knowledge as a single search tool that covers over 170 disciplines across 8 key databases, including Web of Science, Biological Abstracts, Derwent Innovation Index, and Medline. It highlights features like refining search results by subject area across databases, citation analysis tools, and integration with bibliographic management software like EndNote.
Haustein, S., Smith, E., Mongeon, P., Shu, F., & Larivière, V. (2016): Access...Stefanie Haustein
Conference presentation
Haustein, S., Smith, E., Mongeon, P., Shu, F., & Larivière, V. (2016). Access to global health research. Prevalence and cost of gold and hybrid open access. In Proceedings of the 21st International Conference on Science and Technology Indicators (p. 410–418). Valencia, Spain.
This presentation is about Scholarly Communications and how it works, what are ways through one can identify right journals for publications and also briefly discusses preprints as an alternative publications space for making the research more open and visible.
The document discusses citation analysis and its importance in measuring the quality and impact of research. Citation analysis evaluates the citations received by research papers, scientists, universities, and countries as a measure of scientific influence and productivity. Citations serve several purposes, such as acknowledging prior work, substantiating claims, and showing consideration of different opinions. Co-citation coupling and bibliographic coupling are methods to establish relationships between scholarly works based on their citations. Common citation metrics include the h-index and impact factor, which provide ways to quantify the impact of research, though they also have limitations. Overall, citation analysis through various metrics is an objective way to determine how influential and important a piece of research has been to the scientific community.
Sándor Soós - Science maps as ways to indicate knowledge transferknowescape2013
This document proposes using science maps and the Mean Overlay Distance (MOD) metric to measure knowledge dynamics and transfer in three areas: 1) Tracking the development of scientific fields over time by comparing citation networks years apart. 2) Evaluating research impact by measuring how publications influence distant scientific fields. 3) Analyzing researcher careers and mobility by tracking changes in individuals' research profiles over time and with career changes. The MOD metric quantifies the average cognitive distance between two maps, showing how research profiles or fields have become more integrated or diffuse over time. Case studies and applications in research evaluation, scientific development, and career analysis are discussed.
The document summarizes Thomson Reuters solutions for scientific research, focusing on their ISI Web of Knowledge platform and Web of Science database. It discusses the comprehensive coverage and citation searching capabilities provided over 100 years of data from over 10,000 journals, as well as the rigorous editorial evaluation process.
This document discusses bibliometrics, which is the quantitative analysis of academic publications and their impact. It defines bibliometrics and explains that bibliometric measures are used to evaluate the impact and spread of research information. Common impact measures discussed include the journal impact factor, which measures the average number of citations to papers in a journal, and the H-index, which measures both the productivity and impact of a researcher's body of work. The document also outlines bibliometric services and databases that can be used to perform bibliometric analysis, such as Web of Knowledge, Journal Citation Reports, and Scopus.
Optimizing Search Engines(A Mathematical Point view)
Following things covered here
- A basic introduction to Search Engine Optimizing.
Introduction to Google and Bing Webmaster.
- Use of Google Toolbar to see Page Rank of each page(Calculating importance of each page for Google Search Engines.)
- PageRank Algorithm(I will the focus on this point mostly).
- How it is useful to real SEO and practical implementation of SEO.
- Google Bomb.
Scientometrics is the quantitative study of science, communication in science, and science policy. It involves the analysis, evaluation, and visualization of science and technology research using quantitative methods. Some key points:
- Scientometrics originated as a Russian term and was coined by Nalimov and Mulchenko in 1969 to describe the application of quantitative methods to the study of science.
- It is often done using bibliometrics to measure the impact of scientific publications. Common scientometric indicators include journal impact factors, h-index, and citation analysis.
- Scientometric studies map patterns of research collaboration, publication trends, and analyze the relative productivity and impact of different countries, institutions, and individual scientists.
The document discusses bibliometrics and bibliometric laws. It defines bibliometrics as the application of mathematical and statistical methods to bibliographic information, and discusses its origins and objectives. Three important bibliometric laws are covered: Lotka's law describes the frequency of publication by authors, Bradford's law explains the scattering of articles across journals, and Zipf's law concerns the frequency of word usage. In conclusion, bibliometrics is an important tool in library and information science for studying information processes and flows.
Visual exploration of scientific literature using VOSviewer and CitNetExplorerNees Jan van Eck
Presentation at the International Conference on ICT enhanced Social Sciences and Humanities 2020, July 1, 2020.
It is essential for researchers to have an up-to-date understanding of the literature in their research field. However, keeping up with all relevant literature is highly time consuming. Bibliometric visualizations can support this task. These visualizations provide intuitive overviews of the literature in a research field, enabling researchers to obtain a better understanding of the structure and development of a field and to get an impression of the most significant contributions made in the field.
In this talk, I will give an introduction to two software tools for bibliometric visualization: VOSviewer (www.vosviewer.com) and CitNetExplorer (www.citnetexplorer.nl). VOSviewer is a popular tool for visualizing bibliometric networks of publications, authors, journals, and keywords. CitNetExplorer is a tool for the visualization and analysis of citation networks of scientific publications. I will pay special attention to applications of VOSviewer and CitNetExplorer in the social sciences and humanities, focusing in particular on the use of advanced text mining, network analysis, and visualization techniques for analyzing large amounts of textual data.
This document discusses large-scale visualization of science using bibliometric networks and analysis techniques. It summarizes two bibliographic data sources, Web of Science and Scopus, that can be used to construct citation, co-authorship, keyword co-occurrence, and other networks. Software tools like VOSviewer and CitNetExplorer are presented that enable interactive visualization and analysis of these networks to gain insights into the structure and evolution of science. Specific examples demonstrate classification systems of science fields, network analyses of the scientometrics subfield and the graphene subfield, and visualizations of China's and Wuhan University's scholarly output over time.
Presentation at the Data Science seminar at the Faculty of Social and Behavioural Sciences, Leiden University, Leiden, The Netherlands, December 7, 2018.
Bibliometric network analysis: Software tools, techniques, and an analysis o...Nees Jan van Eck
This document summarizes a presentation about bibliometric network analysis tools and techniques. It discusses two software tools, VOSviewer and CitNetExplorer, that are used to construct and visualize bibliometric networks. It also outlines various network analysis techniques, including layout algorithms, community detection methods, and a unified approach to mapping and clustering networks. Finally, it provides an analysis of the structure and evolution of the field of network science based on a large bibliometric dataset.
This document provides an overview of bibliometrics and discusses several key bibliometric techniques and laws. It begins with definitions of bibliometrics and related terms. It then describes various bibliometric techniques including citation analysis, citation indexing, self-citation, publication counts, direct citations, bibliographic coupling, and co-citation coupling. Several bibliometric laws are also covered, such as Bradford's law of scattering, Lotka's law, and Zipf's law. The document concludes by discussing the foundations and uses of bibliometric studies, which include measuring relationships between authors, journals, and fields as well as research evaluation and management.
This document provides an introduction to bibliometrics for researchers. It aims to look at methods of identifying and interpreting research performance data as a measure of research impact. The outcomes are to use citation analysis tools to evaluate research impact, understand the limitations of bibliometrics, and utilize publishing strategies to improve citation performance. The format includes an introduction to research evaluation, citation impact, journal impact, caveats to bibliometrics, and publishing strategies including open access. It then discusses citation impact, journal impact factors, limitations of bibliometrics, and exercises to find citation counts and impact factors.
Presented at the University of Canterbury Gradfest, "Where to publish" is a short presentation designed to help new postgraduate students think about new and non-traditional modes of publishing, such as Institutional and disciplinary repositories, the difference between gold and green Open Access, and other ways to make research more visible.
Haustein, S. (2017). The evolution of scholarly communication and the reward ...Stefanie Haustein
Haustein, S. (2017, February). The evolution of scholarly communication and the reward system of science. Fourth Annual KnoweScape Conference 2017, 22–24 February 2017, Sofia (Bulgaria). keynote
http://knowescape.org/knowescape2017/
The document discusses various tools from Thomson Reuters for research evaluation, including Web of Science for analyzing scholarly literature and citations, EndNote Web for managing references and citations, and ResearcherID for identifying individual researchers and analyzing their impact, collaboration networks, and publications. It provides demonstrations of these tools' capabilities for analyzing research at the journal, institution, and individual researcher levels.
The document discusses bibliographic coupling, co-citation coupling, and obsolescence. It defines bibliographic coupling as the relationship between two works that cite a common work, and co-citation coupling as the relationship between two works that are both cited by a third work. It outlines criticisms of bibliographic coupling and describes how co-citation coupling and author co-citation analysis evolved as alternative methods. Uses of bibliographic coupling include finding related research and understanding the development of new subjects. The document also defines obsolescence as the reduced use of information over time, and lists reasons for and criteria to measure the declination in usage of information.
The document provides an overview of the Web of Knowledge platform and its various databases and features. It describes the Web of Knowledge as a single search tool that covers over 170 disciplines across 8 key databases, including Web of Science, Biological Abstracts, Derwent Innovation Index, and Medline. It highlights features like refining search results by subject area across databases, citation analysis tools, and integration with bibliographic management software like EndNote.
Haustein, S., Smith, E., Mongeon, P., Shu, F., & Larivière, V. (2016): Access...Stefanie Haustein
Conference presentation
Haustein, S., Smith, E., Mongeon, P., Shu, F., & Larivière, V. (2016). Access to global health research. Prevalence and cost of gold and hybrid open access. In Proceedings of the 21st International Conference on Science and Technology Indicators (p. 410–418). Valencia, Spain.
This presentation is about Scholarly Communications and how it works, what are ways through one can identify right journals for publications and also briefly discusses preprints as an alternative publications space for making the research more open and visible.
The document discusses citation analysis and its importance in measuring the quality and impact of research. Citation analysis evaluates the citations received by research papers, scientists, universities, and countries as a measure of scientific influence and productivity. Citations serve several purposes, such as acknowledging prior work, substantiating claims, and showing consideration of different opinions. Co-citation coupling and bibliographic coupling are methods to establish relationships between scholarly works based on their citations. Common citation metrics include the h-index and impact factor, which provide ways to quantify the impact of research, though they also have limitations. Overall, citation analysis through various metrics is an objective way to determine how influential and important a piece of research has been to the scientific community.
Sándor Soós - Science maps as ways to indicate knowledge transferknowescape2013
This document proposes using science maps and the Mean Overlay Distance (MOD) metric to measure knowledge dynamics and transfer in three areas: 1) Tracking the development of scientific fields over time by comparing citation networks years apart. 2) Evaluating research impact by measuring how publications influence distant scientific fields. 3) Analyzing researcher careers and mobility by tracking changes in individuals' research profiles over time and with career changes. The MOD metric quantifies the average cognitive distance between two maps, showing how research profiles or fields have become more integrated or diffuse over time. Case studies and applications in research evaluation, scientific development, and career analysis are discussed.
The document summarizes Thomson Reuters solutions for scientific research, focusing on their ISI Web of Knowledge platform and Web of Science database. It discusses the comprehensive coverage and citation searching capabilities provided over 100 years of data from over 10,000 journals, as well as the rigorous editorial evaluation process.
This document discusses bibliometrics, which is the quantitative analysis of academic publications and their impact. It defines bibliometrics and explains that bibliometric measures are used to evaluate the impact and spread of research information. Common impact measures discussed include the journal impact factor, which measures the average number of citations to papers in a journal, and the H-index, which measures both the productivity and impact of a researcher's body of work. The document also outlines bibliometric services and databases that can be used to perform bibliometric analysis, such as Web of Knowledge, Journal Citation Reports, and Scopus.
Optimizing Search Engines(A Mathematical Point view)
Following things covered here
- A basic introduction to Search Engine Optimizing.
Introduction to Google and Bing Webmaster.
- Use of Google Toolbar to see Page Rank of each page(Calculating importance of each page for Google Search Engines.)
- PageRank Algorithm(I will the focus on this point mostly).
- How it is useful to real SEO and practical implementation of SEO.
- Google Bomb.
Scientometrics is the quantitative study of science, communication in science, and science policy. It involves the analysis, evaluation, and visualization of science and technology research using quantitative methods. Some key points:
- Scientometrics originated as a Russian term and was coined by Nalimov and Mulchenko in 1969 to describe the application of quantitative methods to the study of science.
- It is often done using bibliometrics to measure the impact of scientific publications. Common scientometric indicators include journal impact factors, h-index, and citation analysis.
- Scientometric studies map patterns of research collaboration, publication trends, and analyze the relative productivity and impact of different countries, institutions, and individual scientists.
This document outlines a scientometric analysis of research competitiveness at the country, institution, and subject level. It discusses analyzing the research output of countries in South Asia, as well as Bangladesh and India individually. It also describes characterizing the top 100 world research institutions, analyzing the contribution and rankings of central universities and Indian Institutes of Technology in India. Finally, it discusses a fine-grained analysis of the research theme of big data. Key aspects covered include bibliographic databases used, scientometric indicators, methodology, and findings at each level of analysis.
This document summarizes Pablo Achard's presentation on bibliometrics and scientometrics. The presentation focuses on the managerial use of performance indicators at the micro, meso, and macro levels. It discusses basic indicators such as publications, citations and funding. It also covers issues with individual performance metrics like publication counts, h-index and journal impact factors. Potential distortions from gaming the system are noted. University rankings and country-level bibliometric data are also summarized.
Authorship Attribution and Forensic Linguistics with Python/Scikit-Learn/Pand...PyData
This document discusses authorship attribution and forensic linguistics using machine learning techniques. It defines authorship attribution as identifying the author of an anonymous text. Feature extraction methods are described, including lexical, character, syntactic, and application-specific features. A classification problem approach is outlined involving defining classes, extracting features, training a machine learning classifier, and evaluating. Python libraries like Pandas and Scikit-learn are used for feature extraction, classification, and evaluating models on sample datasets with up to 96% accuracy.
Authorship analysis using function words forensic linguisticsVlad Mackevic
This document summarizes a research paper on using statistical analysis of function words to analyze authorship in forensic linguistics. It discusses using t-tests to cluster texts by the same author and discriminate between authors based on frequency of words like "as", "it", "that", and "there". The summary found that t-tests were better at discrimination than clustering and that analysis broke down with shorter texts. It concludes that function word analysis may be a useful forensic linguistics tool but has limitations like being better for longer texts and requiring further analysis for shorter texts.
Webometrics and Studies of Cultural Diffusion-Psy Gangnam Style on YouTubeHan Woo PARK
The document discusses three proposed studies on cultural diffusion using webometric analysis methods. Study one would analyze the YouTube ecosystem surrounding the dissemination of Gangnam Style, examining user demographics, interaction networks, and comment sentiment. Study two focuses on how Gangnam Style sparked various internet memes by inspiring remixes, parodies and other creative works. Study three proposes a longitudinal approach to analyze cultural diffusion via social media over time. Related work on webometrics and previous diffusion case studies are also referenced.
This document discusses search engine optimization (SEO) techniques. It defines SEO as improving web pages to rank higher in search engines for targeted keywords. SEO can help websites, businesses, and online services get to the first page of search engine results. The document outlines various SEO strategies like on-page optimization of titles, meta tags, and content; off-page techniques like link building; and submitting sites to search engines. It also discusses analyzing traffic sources using tools like Google Analytics and using social media to promote websites.
Search engine optimization (SEO) is the process of affecting the visibility of a website or a web page in a search engine's "natural" or un-paid ("organic") search
Read all SEO Tips Shared by Matt Cutts in this PPT.
Metrics envelop number of subject domains, e.g., general relativity under physics, networking, mathematics, software analysis, etc. --- STATISTICS
Enumerated in the slides are the different metric fields in information science.
References, authors, journals and scientific disciplines underlying the susta...Nuno Quental
This document summarizes a citation analysis of references, authors, journals, and disciplines underlying the sustainable development literature. It finds that the core of sustainability thinking is framed by landmark studies published every 5 years, with only 380 publications cited at least 10 times. The most influential references come from economics, environmental science, and policy documents. Classics seem to have a more enduring influence due to their high citation rates over time.
Assessing research performance: missions and metricsPaul Wouters
1. The document discusses the use of metrics to evaluate research performance and the problems that arise when metrics are used inappropriately or without consideration of their limitations.
2. It notes that while metrics were intended to complement expert review, there is now a discrepancy between evaluation criteria and the true functions of science.
3. The document examines theories around citation behavior and how citations are influenced by persuasive and strategic motivations rather than just reflecting scientific impact or merit. This complicates the use of citations and bibliometrics as evaluation measures.
Public engagement while you sleep? How altmetrics can help researchers broade...UoLResearchSupport
Slides from a seminar delivered for pepnet at the University of Leeds 28 Nov 2018. Thanks to Charlotte Perry-Houts for extra content:
From peer reviewed journal articles, to assorted reports and grey literature, to datasets comprising numerical, textual or multimedia files; we generate thousands of research outputs.
In this session, Kirsten Thompson (OD&PL) and Nick Sheppard (Library) will discuss strategies for increasing quality online engagement with that research. We will explore how you can use ‘alternative metrics’, more commonly known as ‘altmetrics’, to monitor such engagement. Altmetrics can help to showcase the reach of your work, supplement grant and tenure applications, identify new audiences, and connect with other researchers in your discipline.
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2. Context
• How to map differences in the codification of
knowledge management and/ or
development?
• Methods from scientometrics and
bibliometrics, incl. citation, co-authorships and
semantic map analysis
• Project with Sarah Cummings
3. Introduction
• What is scientometrics?
• “science of science” since 1978
• uses bibliometrics to map publication behavior
• origin in study of scientific publications
• main applications: citation & co-authorship analysis
• What are semantic maps?
* multiple in the text analysis
* can be applied beyond science
* mapping implicit frames across actors / discourses
(e.g. sciences, the mass media, policy documents…)
4. Citation analysis
Idea:
* scientific publications (with bibliographies)
* author / article level: A. who cites whom
B. which authors get most citations
* journal level: which journals cite each others articles
* citations across domains (Triple helix: patents – publications)
Aim
* view into discipline & specialty formation
* A. changes over time & B. comparisons between disciplines,
journals etc.
* impact of the publications
Limitations:
* restricted to publications with list of references
5. Example of citation analysis:
Development journals in 2007
Main journals
(in Web of
Science):
1) World
Development
2) Development
and Change
3) Journal of
Development
Studies
Source:
Loet
Citation impact environment of World Development in 2007. Leydesdorff
(1% threshold; cosine > 0.2)
6. Co-authorship analysis
Idea:
• Co-authorship networks, global and local; national and international
• Who publishes with whom (disciplinary differences & development
over time)
• Co-authorships between university-industry-government (Triple
Helix)
Aim:
• General view on dynamics of collaborations; inter- and
transdisciplinary
Limitations:
* restricted to publications with list of references
7. Example of co-authorship analysis:
Dutch authors in Development and Change
Co-authorships of Dutch authors publishing in Development and Change, the core 30 co-
authorships, 2005-2008
8. Semantic maps
• Idea
• Automated analysis of communications (texts)
• Different levels of codification (e.g. science / mass
media / policy / practice)
• Aims
* development of a debate over time (e.g. stem-cell research)
* differences across discourses within one debate (such as the mass
media vs. sciences vs. economics vs. policy-making)
* differences in debates on the same topic across countries (U.S. vs.
Europe vs. Asia / UK vs. Netherlands…)
* …and would be able to detect emerging sub-debates (within stem-cell
debate across the discourses and the countries)?
10. Example of semantic maps:
“Millennium Development Goals” in Dutch newspapers
“Millennium Development Goals in Dutch newspapers, 2005-2008 (69 news items)
11. Next steps
• Semantic maps on scientific, journalistic,
policy and practice documents (MDG
debate)
• Different topics of debate
• Different level of codification
• Citation and co-authorship analysis on
industry-government-academia relations
12. Expected outcomes
• Conference presentation: Towards
Knowledge Democracy –conference
(Leiden, 25-27 August, 2009)
• Article(s)…
• Discussion on new methodological
avenues and their limitations
13. Thank you!
Questions?
• More information (methods):
– www.leydesdorff.net
On semantic maps:
– Leydesdorff Loet & Hellsten Iina (2006) ”Measuring the meanings of words in contexts: automated analysis
of ‘Monarch butterflies’, ‘Frankenfoods’ and ‘stem cells’”, Scientometrics 67(2): 231-258.
http://www.springerlink.com/content/c62j88v730283u6g/?p=23707c3755064670899a072308837605&pi=5
– Leydesdorff Loet & Hellsten Iina (2005) ”Metaphors and Diaphors in Science Communication: Mapping the
Case of Stem-Cell Research”, Science Communication 27(1): 64-99.
http://scx.sagepub.com/cgi/reprint/27/1/64