
Web Metrics for Library and Information Professionals
- Publisher's listprice GBP 55.00
-
The price is estimated because at the time of ordering we do not know what conversion rates will apply to HUF / product currency when the book arrives. In case HUF is weaker, the price increases slightly, in case HUF is stronger, the price goes lower slightly.
- Discount 10% (cc. 2 784 Ft off)
- Discounted price 25 052 Ft (23 859 Ft + 5% VAT)
27 835 Ft
Availability
Estimated delivery time: In stock at the publisher, but not at Prospero's office. Delivery time approx. 3-5 weeks.
Not in stock at Prospero.
Why don't you give exact delivery time?
Delivery time is estimated on our previous experiences. We give estimations only, because we order from outside Hungary, and the delivery time mainly depends on how quickly the publisher supplies the book. Faster or slower deliveries both happen, but we do our best to supply as quickly as possible.
Product details:
- Edition number Second Edition
- Publisher Facet Publishing
- Date of Publication 26 October 2023
- ISBN 9781783305667
- Binding Paperback
- No. of pages224 pages
- Size 234x156x5 mm
- Language English 565
Categories
Short description:
This new edition has been extended and updated throughout to reflect the rapidly changing nature of the field, and has been modified to incorporate important changes that have taken place in the information ecosystem since the first edition.
MoreLong description:
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.
MoreTable of Contents:
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
More