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Web metrics for library and information professionals /
Dr David Stuart is a researcher in the Centre for e-Research (CERCH) at King's College London, and an honorary research fellow in the Statistical Cybermetrics Research Group at the University of Wolverhampton, where he was previously Web 2.0 Research Fellow. He has a PhD in information science...
| Clasificación: | Libro Electrónico |
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| Autor principal: | |
| Formato: | Electrónico eBook |
| Idioma: | Inglés |
| Publicado: |
London [England] :
Facet Publishing,
2014.
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| Temas: | |
| Acceso en línea: | Texto completo |
Tabla de Contenidos:
- Title page; 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; Introduction; Web metrics; Information science metrics; Web analytics; Relational and evaluative metrics; Evaluative web metrics; Relational web 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 crawlersSearch engines 2.0; Post Search Engine 2.0: fragmentation; Conclusion; 4 Evaluating impact on the web; Introduction; Websites; Blogs; Wikis; 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; 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; Conclusion; 6 Investigating relationships between actors.
- IntroductionSocial network analysis methods; Sources for relational network analysis; Conclusion; 7 Exploring traditional publications in a new environment; Introduction; More bibliographic items; Full text analysis; Greater context; Conclusion; 8 Web metrics and the web of data; Introduction; 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; Conclusion; 9 The future of web metrics and the library and information professional; How far we have come.
- The future of web metricsThe future of the library and information professional and web metrics; Bibliography; Index.