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Web metrics for library and information professionals

紀錄類型:	書目-電子資源 : Monograph/item
正題名/作者:	Web metrics for library and information professionals/ David Stuart.
作者:	Stuart, David.
出版者:	London, England :Facet Publishing, : 2023.,
面頁冊數:	xvi, 206 p. :ill., digital ;24 cm.
附註:	Title from publisher's bibliographic system (viewed on 08 Jan 2024).
內容註:	Title page -- Contents -- Figures and Tables -- About the Author -- Preface to the Second Edition -- CHAPTER 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 -- CHAPTER 2 Bibliometrics, Altmetrics, Web Metrics and Webometrics -- Introduction -- Web metrics -- Relational and evaluative metrics -- Validating the results -- Conclusion -- CHAPTER 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 2.0 -- Post Search Engine 2.0: fragmentation -- Conclusion -- CHAPTER 4 Evaluating Web Impact -- Introduction -- Websites -- Blogs -- Wikis -- Internal v. external metrics -- Internal metrics -- External metrics -- A systematic approach to content analysis -- Conclusion -- CHAPTER 5 Evaluating Social Media Impact -- Introduction -- Aspects of social network sites -- The ability to navigate: content views -- Typology of social network sites -- Socialising social network sites -- Networking social network sites -- Navigation social network sites -- Atypical social media - Wikipedia -- The most popular social media services -- Sentiment analysis -- Conclusion -- CHAPTER 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 -- CHAPTER 7 Web Bibliometrics -- Introduction -- More bibliographic items -- New bibliographic sources -- Greater context -- Conclusion -- CHAPTER 8 Web Metrics for Data and Code -- Introduction -- The web of data.
內容註:	From data documents . . . -- . . . to a semantic web? -- The importance of code -- GitHub statistics -- A brief exploration of code-metrics with R -- Conclusion -- CHAPTER 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 -- References -- Index.
標題:	Data mining. -
電子資源:	https://www.cambridge.org/core/product/identifier/9781783305681/type/BOOK
ISBN:	9781783305681

Web metrics for library and information professionals
Stuart, David.

Web metrics for library and information professionals[electronic resource] /David Stuart. - Second edition. - London, England :Facet Publishing,2023. - xvi, 206 p. :ill., digital ;24 cm.

Title from publisher's bibliographic system (viewed on 08 Jan 2024).

Title page -- Contents -- Figures and Tables -- About the Author -- Preface to the Second Edition -- CHAPTER 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 -- CHAPTER 2 Bibliometrics, Altmetrics, Web Metrics and Webometrics -- Introduction -- Web metrics -- Relational and evaluative metrics -- Validating the results -- Conclusion -- CHAPTER 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 2.0 -- Post Search Engine 2.0: fragmentation -- Conclusion -- CHAPTER 4 Evaluating Web Impact -- Introduction -- Websites -- Blogs -- Wikis -- Internal v. external metrics -- Internal metrics -- External metrics -- A systematic approach to content analysis -- Conclusion -- CHAPTER 5 Evaluating Social Media Impact -- Introduction -- Aspects of social network sites -- The ability to navigate: content views -- Typology of social network sites -- Socialising social network sites -- Networking social network sites -- Navigation social network sites -- Atypical social media - Wikipedia -- The most popular social media services -- Sentiment analysis -- Conclusion -- CHAPTER 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 -- CHAPTER 7 Web Bibliometrics -- Introduction -- More bibliographic items -- New bibliographic sources -- Greater context -- Conclusion -- CHAPTER 8 Web Metrics for Data and Code -- Introduction -- The web of data.

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.

ISBN: 9781783305681Subjects--Topical Terms:

562972
Data mining.

LC Class. No.: QA76.9.D343 / S68525 2023

Dewey Class. No.: 006.312

Web metrics for library and information professionals
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505 0 $a Title page -- Contents -- Figures and Tables -- About the Author -- Preface to the Second Edition -- CHAPTER 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 -- CHAPTER 2 Bibliometrics, Altmetrics, Web Metrics and Webometrics -- Introduction -- Web metrics -- Relational and evaluative metrics -- Validating the results -- Conclusion -- CHAPTER 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 2.0 -- Post Search Engine 2.0: fragmentation -- Conclusion -- CHAPTER 4 Evaluating Web Impact -- Introduction -- Websites -- Blogs -- Wikis -- Internal v. external metrics -- Internal metrics -- External metrics -- A systematic approach to content analysis -- Conclusion -- CHAPTER 5 Evaluating Social Media Impact -- Introduction -- Aspects of social network sites -- The ability to navigate: content views -- Typology of social network sites -- Socialising social network sites -- Networking social network sites -- Navigation social network sites -- Atypical social media - Wikipedia -- The most popular social media services -- Sentiment analysis -- Conclusion -- CHAPTER 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 -- CHAPTER 7 Web Bibliometrics -- Introduction -- More bibliographic items -- New bibliographic sources -- Greater context -- Conclusion -- CHAPTER 8 Web Metrics for Data and Code -- Introduction -- The web of data.
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520 $a 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.
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