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.