Web metrics for library and information professionals /

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This is a practical guide to using web metrics to measure impact and demonstrate value. The web provides an opportunity to collect a host of different metrics, from those associated with social media accounts and websites to more traditional research outputs. This book is a clear guide for library a...

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Bibliographic Details
Main Author: Stuart, David
Format: Printed Book
Published: London: Facet Publishing, 2014.
Subjects:
Webometrics.
Data mining.
Table of Contents:
  • 1. Introduction. Metrics
  • Indicators
  • Web metrics and Ranganathan's laws of library science
  • Web metrics for the library and information professional
  • The aim of this book
  • The structure of the rest of this book
  • 2. Bibliometrics, webometrics and web metrics. Web metrics
  • Information science metrics
  • Web analytics
  • Relational and evaluative metrics
  • Evaluative web metrics
  • Relational web metrics
  • Validating the results
  • 3. Data collection tools. 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
  • 4. Evaluating impact on the web. Websites
  • Blogs
  • Wikis
  • Internal metrics
  • External metrics
  • A systematic approach to content analysis
  • 5. Evaluating social media impact. Aspects of social network sites
  • Typology of social network sites
  • Research and tools for specific sites and services
  • Other social network sites
  • URL shorteners: web analytic links on any site
  • General social media impact
  • Sentiment analysis
  • 6. Investigating relationships between actors. Social network analysis methods
  • Sources for relational network analysis
  • 7. Exploring traditional publications in a new environment. More bibliographic items
  • Full text analysis
  • Greater context
  • 8. Web metrics and the web of data. The web of data
  • Building the semantic web
  • Implications of the web of data for web metrics
  • Investigating the web of data today
  • SPARQL
  • Sindice
  • LDSpider: an RDF web crawler
  • 9. The future of web metrics and the library and information professional. How far we have come
  • The future of web metrics
  • The future of the library and information professional and web metrics.

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