Library and information professionals increasingly need to create, manage, and monitor a wide range of online content, from a library’s social media account and web sites to the new and traditional research outputs that funders expect to be made available openly online. It is important that they understand the new opportunities that web metrics provide for measuring the impact of an individual or an organisation’s content. This book provides an up-to-date introduction to a wide range of web metrics, with practical examples of how they can be best put to use.
The book will begin with a wider discussion on the role of metrics, and how web metrics overlap with associated concepts with a longer library and information science history such as scientometrics and bibliometrics. It will explore the latest tools that are available, many of which have changed since the publication of the first edition, as well as how we can expect the field to change in the future with machine intelligence and artificial intelligence becoming more widely available.
This new edition has been extended and updated throughout to reflect the rapidly changing nature of the field. As well as updates to the user-friendly tools and resources, there is a greater emphasis on the programming libraries that are available, as library and information professionals are increasingly willing to start engaging with data that is available programmatically.
After reading the book the information professional will not only be better placed to adopt web metrics in their workplace, but also be critical of the misuse of web metrics.
By:
David Stuart
Imprint: Facet Publishing
Country of Publication: United Kingdom
Edition: Second Edition
Dimensions:
Height: 238mm,
Width: 159mm,
Spine: 16mm
ISBN: 9781783305674
ISBN 10: 1783305673
Pages: 208
Publication Date: 21 September 2023
Audience:
Professional and scholarly
,
Undergraduate
Format: Hardback
Publisher's Status: Active
1 Introduction Metrics Indicators Web metrics and Ranganathan’s laws of library science Web metrics for the library and information professional Responsible metrics The aim of this book The structure of the rest of this book 2 Bibliometrics, Altmetrics, Web metrics, and Webometrics Introduction Web metrics Information science metrics Web analytics Relational and evaluative metrics Validating the results Conclusion 3 Data Collection Tools Introduction The anatomy of a URL, web links and the structure of the web Search engines 1.0 Web crawlers Search engines Post Search Engine 2.0: fragmentation Conclusion 4 Evaluating Web Impact Introduction Websites Blogs Wikis Internal v. External Metrics Internal metrics External metrics A systematic approach to content analysis Conclusion 5 Evaluating Social Media Impact Introduction Aspects of social network sites Typology of social network sites The most popular social media services Sentiment analysis Conclusion **6 Relational Web Metrics and Social Network ** Analysis Introduction Social network analysis methods Node centrality Cluster identification Statistical properties of the graph Topic modelling Sources for relational network analysis Two R Examples Conclusion 7 Web Bibliometrics Introduction More bibliographic items New bibliographic sources Full text analysis Greater Context Conclusion 8 Web Metrics for Data and Code Introduction The web of data From data documents……to a semantic web? The Importance of Code GitHub Statistics A Brief Exploration of Code-metrics with R Conclusion 9 The Future of Web Metrics and the Library and Information Professional Introduction How far we have come The future of web metrics The future of the library and information professional and web metrics
David Stuart is an independent information professional, Bibliometrics Officer at the University of St Andrews and an Honorary Research Fellow at the University of Wolverhampton. He has published widely in in peer-reviewed academic journals and professional journals on information science, metrics, and semantic web technologies and is author of a number of books, including Practical Ontologies for Information Professionals (2016), Facilitating Access to the Web of Data (2011) and Practical Data Science for Information Professionals (2020).
