Cybermetric Techniques to Evaluate Organizations Using Web-Based Data proposes a complete and multifaceted analysis model, integrating quantitative and qualitative measures (extracted from web usability, SEO and design interaction metrics and evaluations) with a purpose of finding potential correlations. It also includes metrics from new social media platforms, metrics related to the interaction among companies, impact filtering according to different entity categories, innovation and scientific activities and media presence. This model is then applied to test feasibility and accuracy. Different statistical methods and tests are also applied to guide data gathering and analysis.
1. Cover image - p. Cover 2. Title page - p. iii 3. Table of Contents - p. iii 4. Copyright - p. iv 5. List of figures - p. vii 6. List of tables - p. ix 7. Foreword - p. xi 8. Presentation - p. xiii 9. Block A: The web problem - p. xv 10. 1. Measuring (private company activity) on the web - p. 3 11. 2. The web impact scattering problem - p. 35 12. Block B: The analysis model - p. 59 13. 3. A cybermetric analysis model to measure private companies - p. 63 14. Block C: The empirical test - p. 76 15. 4. General methodology - p. 79 16. 5. Global performance on commercial search engines - p. 87 17. 6. Selective performance on commercial search engines - p. 109 18. 7. Specific performance on specialized search engines - p. 125 19. 8. Global performance on social media - p. 153 20. Block D: The discussion - p. 174 21. 9. The refinement - p. 179 22. 10. The end of the road: Struggling to square the web circle - p. 195 23. Appendix I. List of biotechnology companies - p. 199 24. Index - p. 205
Cybermetric Techniques to Evaluate Organizations Using Web-Based Data proposes a complete and multifaceted analysis model, integrating quantitative and qualitative measures (extracted from web usability, SEO and design interaction metrics and evaluations) with a purpose of finding potential correlations. It also includes metrics from new social media platforms, metrics related to the interaction among companies, impact filtering according to different entity categories, innovation and scientific activities and media presence. This model is then applied to test feasibility and accuracy. Different statistical methods and tests are also applied to guide data gathering and analysis.
1. Cover image - p. Cover 2. Title page - p. iii 3. Table of Contents - p. iii 4. Copyright - p. iv 5. List of figures - p. vii 6. List of tables - p. ix 7. Foreword - p. xi 8. Presentation - p. xiii 9. Block A: The web problem - p. xv 10. 1. Measuring (private company activity) on the web - p. 3 11. 2. The web impact scattering problem - p. 35 12. Block B: The analysis model - p. 59 13. 3. A cybermetric analysis model to measure private companies - p. 63 14. Block C: The empirical test - p. 76 15. 4. General methodology - p. 79 16. 5. Global performance on commercial search engines - p. 87 17. 6. Selective performance on commercial search engines - p. 109 18. 7. Specific performance on specialized search engines - p. 125 19. 8. Global performance on social media - p. 153 20. Block D: The discussion - p. 174 21. 9. The refinement - p. 179 22. 10. The end of the road: Struggling to square the web circle - p. 195 23. Appendix I. List of biotechnology companies - p. 199 24. Index - p. 205
