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Web indicators for research evaluation : a practical guide
In recent years there has been an increasing demand for research evaluation within universities and other research-based organisations. In parallel, there has been an increasing recognition that traditional citation-based indicators are not able to reflect the societal impacts of research and are slow to appear. This has led to the creation of new indicators for different types of research impact as well as timelier indicators, mainly derived from the Web. These indicators have been called altmetrics, webometrics or just web metrics. This book describes and evaluates a range of web indicators for aspects of societal or scholarly impact, discusses the theory and practice of using and evaluating web indicators for research assessment and outlines practical strategies for obtaining many web indicators. In addition to describing impact indicators for traditional scholarly outputs, such as journal articles and monographs, it also covers indicators for videos, datasets, software and other non-standard scholarly outputs. The book describes strategies to analyse web indicators for individual publications as well as to compare the impacts of groups of publications. The practical part of the book includes descriptions of how to use the free software Webometric Analyst to gather and analyse web data. This book is written for information science undergraduate and Master's students that are learning about alternative indicators or scientometrics as well as Ph.D. students and other researchers and practitioners using indicators to help assess research impact or to study scholarly communication.
Book
Can Webometrics Predict the Academic Rankings of Institutes?
Webometrics can be used for understanding the quantitative aspects of web resources. The present study investigates the role of webometrics in determining the academic ranking of the institute. The extensive research was conducted on a sample of 59 reputed academic institutes based out of India. The data was analysed using two techniques viz. linear regression and classification and regression tree. From the results of the study, it was found that among all the webometrics parameters, Alexa rank and Semrush rank of the website was found to be the most crucial factor for determining the academic ranking of the institute. The study has insights for policymakers of the institute as the results of the study can be used for devising various ways to improve the webometrics parameters in order to enhance the academic ranking of the institute.
Journal Article
Pesquisa científica como fonte de inovação em hospitais altamente reconhecidos no Mundo e no Brasil
A gestão eficiente do conhecimento e da inovação é encarada como orientação capaz de conduzir organizações a patamar de excelência e elevado desempenho. O engajamento de organizações no desenvolvimento de pesquisas científicas e produção acadêmica pode ser visto como indicador associado ao grau de inovação e construção de conhecimento acerca de melhores práticas e tecnologias. Dessa forma, este estudo objetivou analisar o nível de produtividade acadêmico-científica dos maiores hospitais mundiais e brasileiros, relacionando tal produtividade com a posição de excelência e destaque no setor hospitalar em nível mundial. Foram selecionados os 10 maiores hospitais mundiais e os 10 maiores hospitais brasileiros, com expressivo reconhecimento em termos de excelência e qualidade. Foi considerado o ranking dos hospitais mundiais apresentado pelo Portal Hospitals–Webometrics (2015) assim como as publicações acadêmicas registradas no portal SCOPUS para cada um dos 20 hospitais selecionados. Os resultados sugerem que existe uma forte associação entre a posição de excelência e reconhecimento mundial dos hospitais com seus respectivos níveis de produtividade acadêmico-científica. Ademais, observou-se a produtividade científica está fortemente concentrada nas áreas médicas em todos os 20 hospitais considerados. Dentre os hospitais brasileiros, os que apresentam maior destaque em produção acadêmico-científica são o Instituto do Coração do Hospital das Clinicas e o Hospital de Clinicas de Porto Alegre.
Journal Article
Data mining approaches for big data and sentiment analysis in social media
\"This book explores the key concepts of data mining and utilizing them on online social media platforms, offering valuable insight into data mining approaches for big data and sentiment analysis in online social media and covering many important security and other aspects and current trends\"-- Provided by publisher.
Book
Web indicators for research evaluation. Part 1: Citations and links to academic articles from the Web
El gran uso de la web por parte de muchos sectores de la sociedad ha creado el potencial para nuevos indicadores de impacto más amplios. Este artículo revisa la investigación sobre Google Scholar y Google Patents, servicios que pueden ser utilizados como fuente de indicadores de impacto de artículos académicos. También se examinan brevemente los métodos para extraer tipos de enlaces y citas de la Web en su conjunto, aunque para que sean útiles en la práctica los indicadores que éstos generan ahora son probablemente demasiado amplios y demasiado dominados por sitios web generados automáticamente, como catálogos de biblioteca y de editoriales. Indicadores basados en la web más valiosos se pueden derivar de determinados tipos de páginas web que citan investigaciones académicas, tales como presentaciones online, programas de cursos y blogs científicos. Éstos proporcionan evidencia más fácil de entender y de usar, y son menos propensos a ser afectados por los tipos indeseados de contenido generados de forma automática, aunque son susceptibles de ser falseados.
Journal Article
Twitter : a digital socioscope
How can Twitter data be used to study individual-level human behavior and social interaction on a global scale? This book introduces readers to the methods, opportunities, and challenges of using Twitter data to analyze phenomena ranging from the number of people infected by the flu, to national elections, to tomorrow's stock prices. Each chapter, written by leading domain experts in clear and accessible language, takes the reader to the forefront of the newly emerging field of computational social science.
Book
Analyzing Social Media Networks with NodeXL
Analyzing Social Media Networks with NodeXL offers backgrounds in information studies, computer science, and sociology. This book is divided into three parts: analyzing social media, NodeXL tutorial, and social-media network analysis case studies. Part I provides background in the history and concepts of social media and social networks. Also included here is social network analysis, which flows from measuring, to mapping, and modeling collections of connections. The next part focuses on the detailed operation of the free and open-source NodeXL extension of Microsoft Excel, which is used in all exercises throughout this book. In the final part, each chapter presents one form of social media, such as e-mail, Twitter, Facebook, Flickr, and Youtube. In addition, there are descriptions of each system, the nature of networks when people interact, and types of analysis for identifying people, documents, groups, and events. * Walks you through NodeXL, while explaining the theory and development behind each step, providing takeaways that can apply to any SNA * Demonstrates how visual analytics research can be applied to SNA tools for the mass market * Includes case studies from researchers who use NodeXL on popular networks like email, Facebook, Twitter, and wikis * Download companion materials and resources at https://nodexl.codeplex.com/documentation
eBook
Web Visibility and Research Productivity of Central Universities in India: A Webometric Study
The present study examines the website of three central universities. The study focused on Webometric analysis which examine the Domain, Domain age, external and internal links. We are found from the study the central universities website in all three web impact factors SWIF, IWIF and EWIF. JNU Internal Followed Links 3745995, University of Delhi with 106032151 and Jamia with 71718092. The external Link University of Delhi highest link with 2882616, after that JNU with 303778, and Jamia Islima with 69400. The total link is Internal followed link add to External followed link. After that analysis we found that University of Delhi maximum total link with 109080973, after that Jamia University with 71,817055 and JNU with 4169547. University Delhi Internal WIF 0.01870, External WIF 0.0000512, Simple WIF 0.0187, Jawaharlal Nehru University is found that Internal WIF 0.19612, External WIF 0.01588 and Simple WIF 0.2183, JMI University with Internal WIF 4.09817, External WIF 0.00396 and Simple WIF 4.1038.
Journal Article