Tabella dei contenuti
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
Git Hub 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