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.…mehr
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.
Enrique Orduna-Malea is Technical Engineer of Telecommunications (Sound & Image), MA in Information Sciences and PhD in Cybermetrics from the Polytechnic University of Valencia in Spain. He also holds a Master Degree in multichannel contents management. His research lines are fundamentally focused on descriptive (testing web indicators and studying analysis units), instrumental (analysis of web sources and search engines) and applied (academic and business environments) webmetrics.
Inhaltsangabe
INTRODUCTION 1. Introduction: measuring private company activities on the web 2. Company Web structure (a URLs, subdomains and subdirectories approach)
ANALYSIS MODEL 3. Proposal of a cybermetric model to measure private companies 4. Metrics and sources panel
EMPIRICAL ANALYSIS 5. Methodology 6. Scientific activity: presence in academic search engines and academic social sites 7. Professional activity: presence in professional social sites 8. News activity: presence in news, televisions, international agencies 9. Innovation activity: presence in patents 10. Network activity: web relationships and social network analyses
INTRODUCTION 1. Introduction: measuring private company activities on the web 2. Company Web structure (a URLs, subdomains and subdirectories approach)
ANALYSIS MODEL 3. Proposal of a cybermetric model to measure private companies 4. Metrics and sources panel
EMPIRICAL ANALYSIS 5. Methodology 6. Scientific activity: presence in academic search engines and academic social sites 7. Professional activity: presence in professional social sites 8. News activity: presence in news, televisions, international agencies 9. Innovation activity: presence in patents 10. Network activity: web relationships and social network analyses
GENERAL FINDINGS 11. Discussion 12. Conclusions
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