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    Web Metrics for Library and Information Professionals

    Web Metrics for Library and Information Professionals by Stuart, David;

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    Beszerezhetőség

    Becsült beszerzési idő: A Prosperónál jelenleg nincsen raktáron, de a kiadónál igen. Beszerzés kb. 3-5 hét..
    A Prosperónál jelenleg nincsen raktáron.

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    A beszerzés időigényét az eddigi tapasztalatokra alapozva adjuk meg. Azért becsült, mert a terméket külföldről hozzuk be, így a kiadó kiszolgálásának pillanatnyi gyorsaságától is függ. A megadottnál gyorsabb és lassabb szállítás is elképzelhető, de mindent megteszünk, hogy Ön a lehető leghamarabb jusson hozzá a termékhez.

    A termék adatai:

    • Kiadás sorszáma Second Edition
    • Kiadó Facet Publishing
    • Megjelenés dátuma 2023. október 26.

    • ISBN 9781783305667
    • Kötéstípus Puhakötés
    • Terjedelem224 oldal
    • Méret 234x156x5 mm
    • Nyelv angol
    • 565

    Kategóriák

    Rövid leírás:

    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.

    Több

    Hosszú leírás:

    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.

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    Tartalomjegyzék:

    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

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