Understanding audiences, customers, and users via analytics: an introduction to the employment of web, social, and other types of digital people data
Gespeichert in:
| Hauptverfasser: | , , , , |
|---|---|
| Format: | Buch |
| Sprache: | English |
| Veröffentlicht: |
Cham, Switzerland
Springer
[2024]
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| Schriftenreihe: | Synthesis Lectures on Information Concepts, Retrieval, and Services
|
| Schlagworte: | |
| Online-Zugang: | Inhaltsverzeichnis |
| Beschreibung: | xix, 152 Seiten Illustrationen |
| ISBN: | 9783031419324 |
Internformat
MARC
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| 245 | 1 | 0 | |a Understanding audiences, customers, and users via analytics |b an introduction to the employment of web, social, and other types of digital people data |c Bernard J. Jansen, Kholoud K. Aldous, Joni Salminen, Hind Almerekhi, Soon-gyo Jung |
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Datensatz im Suchindex
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| adam_text |
Contents Part I Introduction to Analytics 1 The Foundations of Web Analytics . 1.1 Defining Digital Analytics . 1.2 Realizing the Role of Web Analytics . 1.3 Key Performance Indicators . References . 3 3 5 8 9 2 The Foundations of Social Media Analytics . 2.1 Definition . 2.2 The Role of Social Media Analytics . 2.3 Social Media Usage . 2.4 Key Performance Indicators . 2.5 Social Media User Engagement . 2.6 Terminology . References . 11 11 12 13 14 14 15 17 3 Web and Social Media Analytics Strategy . 3.1 Introduction
. 3.2 The Benefits of a Strategy. 3.3 Web Strategy . 3.3.1 What is a Web Strategy? . 3.3.2 Key Performance Indicators. 3.3.3 Steps in Building a Successful Web Analytics Strategy . 3.4 Social Media Strategy . 3.4.1 What is a Social Media Strategy?. 3.4.2 Key Performance Indicators. 3.4.3 Steps in Building a Successful Social Media Strategy . References . 19 19 20 21 21 21 21 24 24 25 25 29 xiii
xiv Contents Part II 4 Data Sources Data Collection Methods. 4.1 Introduction . 4.2 Online Surveys . 4.3 Crowdsourcing . 4.4 Eye Tracking . 4.5 Mouse Tracking . 4.6 Search Logs . 4.7 Triangulation . 4.8 Social Media APIs . References . Part III 33 33 34 36 38 41 43 45 46 50 Data Quality and Preparation 5 Data Quality Assessment. 5.1 Introduction . 5.2 Data Quality Assessment Aspects . 5.2.1 Completeness and Consistency
. 5.2.2 Validity, Accuracy, andTimeliness. 5.2.3 Examples of Data Quality Assessment Aspects . 5.3 Data Quality Assessment Methods . 5.4 Data Quality Assessment Tools . 5.5 Data Quality Metrics . 5.6 The Challenges of Data Quality Assessment. 5.6.1 Examples of Challenges in Data Quality Assessment. 5.7 Conclusion . References . 55 55 56 56 57 57 58 59 60 60 61 62 63 6 Data Preprocessing. 6.1 Introduction . 6.2 Data Preprocessing in Action . 6.2.1 Characterizing Data. 6.2.2 DimensionalityReductionand Data Transformation. 6.2.3 Data Enrichmentand Validation . 6.3 Data Preprocessing Tools and Usage
. 6.3.1 Web Usage Mining (WUM) . 6.3.2 Data Stream Mining (Stream Learning) . 6.3.3 Knowledge Discovery from Social Media. 6.4 Conclusion . References . 65 65 67 67 67 68 68 70 70 71 72 74
Contents Part IV XV Analytical Methods Social 7.1 7.2 7.3 7.4 7.5 7.6 7.7 7.8 7.9 Media Analytics. Introduction . Content Analysis. Sentiment and Emotion Analysis . Social Network Analysis . Statistical Analysis . Multimedia Content Analysis . The Benefits of Social Media Analytics Tools . Recommendations for Selecting SocialMedia Analytics Tool. Tracking Social Media Performance Using Social Media Analytics Tools . 89 References . 79 79 80 81 84 85 85 86 86 8 Search Analytics . 8.1 Review of Search Analytics . 8.1.1 What is a Search Log? . 8.2 Process of Search Log
Analysis. 8.2.1 Data Collection . 8.2.2 Fields in a Standard SearchLog. 8.2.3 Data Preparation . 8.2.4 Cleaning the Data . 8.2.5 Normalizing SearchingEpisodes . 8.3 Data Analysis . 8.3.1 Analysis Levels . 8.3.2 Conducting the Data Analysis. 8.4 Discussion . 8.5 Conclusions . References . 95 95 96 97 97 97 98 98 99 99 99 101 101 102 ЮЗ 9 Persona Analytics . 9.1 What is Persona Analytics? . 9.2 Why is Persona Analytics Needed?. 9.3 Company Use Cases for Persona Analytics
. 9.4 Future Directions for Persona Analytics. References . 105 105 107 108 Ill 112 10 User Study Analytics . 10.1 Defining User Studies . 10.2 How to Create a User Study? . 10.2.1 Acquiring Resources for a User Study . 10.2.2 Designing User Studies . 115 115 116 116 118 7 91
xvi Contents 10.2.3 Selecting Participants for a User Study . 10.2.4 Who Should Run the User Study? (And How?) . 10.3 What Are the Risks of User Studies? . 10.4 Analyzing User Study Results . 10.5 Implementing User Study Results in Practice . References . 119 119 121 122 124 126 11 Website Analytics . 127 127 129 129 130 130 131 131 131 132 132 135 11.1 Introduction . 11.2 Visitor Туре . 11.3 Visit Length . 11.4 Demographic and System Statistics . 11.5 Internal Search . 11.6 Visitor Path . 11.7 Top Pages. 11.8 Referrers and Keyword Analysis
. 11.9 Errors . 11.10 Choosing a Web Analytics Tool. References . Part V Validation Methods 12.1 Introduction . 12.2 WhyNot Count Instead of Measure? . References . 139 139 142 145 Glossary. 147 12 A Discussionof the Validity of Data Analytics. |
| adam_txt |
Contents Part I Introduction to Analytics 1 The Foundations of Web Analytics . 1.1 Defining Digital Analytics . 1.2 Realizing the Role of Web Analytics . 1.3 Key Performance Indicators . References . 3 3 5 8 9 2 The Foundations of Social Media Analytics . 2.1 Definition . 2.2 The Role of Social Media Analytics . 2.3 Social Media Usage . 2.4 Key Performance Indicators . 2.5 Social Media User Engagement . 2.6 Terminology . References . 11 11 12 13 14 14 15 17 3 Web and Social Media Analytics Strategy . 3.1 Introduction
. 3.2 The Benefits of a Strategy. 3.3 Web Strategy . 3.3.1 What is a Web Strategy? . 3.3.2 Key Performance Indicators. 3.3.3 Steps in Building a Successful Web Analytics Strategy . 3.4 Social Media Strategy . 3.4.1 What is a Social Media Strategy?. 3.4.2 Key Performance Indicators. 3.4.3 Steps in Building a Successful Social Media Strategy . References . 19 19 20 21 21 21 21 24 24 25 25 29 xiii
xiv Contents Part II 4 Data Sources Data Collection Methods. 4.1 Introduction . 4.2 Online Surveys . 4.3 Crowdsourcing . 4.4 Eye Tracking . 4.5 Mouse Tracking . 4.6 Search Logs . 4.7 Triangulation . 4.8 Social Media APIs . References . Part III 33 33 34 36 38 41 43 45 46 50 Data Quality and Preparation 5 Data Quality Assessment. 5.1 Introduction . 5.2 Data Quality Assessment Aspects . 5.2.1 Completeness and Consistency
. 5.2.2 Validity, Accuracy, andTimeliness. 5.2.3 Examples of Data Quality Assessment Aspects . 5.3 Data Quality Assessment Methods . 5.4 Data Quality Assessment Tools . 5.5 Data Quality Metrics . 5.6 The Challenges of Data Quality Assessment. 5.6.1 Examples of Challenges in Data Quality Assessment. 5.7 Conclusion . References . 55 55 56 56 57 57 58 59 60 60 61 62 63 6 Data Preprocessing. 6.1 Introduction . 6.2 Data Preprocessing in Action . 6.2.1 Characterizing Data. 6.2.2 DimensionalityReductionand Data Transformation. 6.2.3 Data Enrichmentand Validation . 6.3 Data Preprocessing Tools and Usage
. 6.3.1 Web Usage Mining (WUM) . 6.3.2 Data Stream Mining (Stream Learning) . 6.3.3 Knowledge Discovery from Social Media. 6.4 Conclusion . References . 65 65 67 67 67 68 68 70 70 71 72 74
Contents Part IV XV Analytical Methods Social 7.1 7.2 7.3 7.4 7.5 7.6 7.7 7.8 7.9 Media Analytics. Introduction . Content Analysis. Sentiment and Emotion Analysis . Social Network Analysis . Statistical Analysis . Multimedia Content Analysis . The Benefits of Social Media Analytics Tools . Recommendations for Selecting SocialMedia Analytics Tool. Tracking Social Media Performance Using Social Media Analytics Tools . 89 References . 79 79 80 81 84 85 85 86 86 8 Search Analytics . 8.1 Review of Search Analytics . 8.1.1 What is a Search Log? . 8.2 Process of Search Log
Analysis. 8.2.1 Data Collection . 8.2.2 Fields in a Standard SearchLog. 8.2.3 Data Preparation . 8.2.4 Cleaning the Data . 8.2.5 Normalizing SearchingEpisodes . 8.3 Data Analysis . 8.3.1 Analysis Levels . 8.3.2 Conducting the Data Analysis. 8.4 Discussion . 8.5 Conclusions . References . 95 95 96 97 97 97 98 98 99 99 99 101 101 102 ЮЗ 9 Persona Analytics . 9.1 What is Persona Analytics? . 9.2 Why is Persona Analytics Needed?. 9.3 Company Use Cases for Persona Analytics
. 9.4 Future Directions for Persona Analytics. References . 105 105 107 108 Ill 112 10 User Study Analytics . 10.1 Defining User Studies . 10.2 How to Create a User Study? . 10.2.1 Acquiring Resources for a User Study . 10.2.2 Designing User Studies . 115 115 116 116 118 7 91
xvi Contents 10.2.3 Selecting Participants for a User Study . 10.2.4 Who Should Run the User Study? (And How?) . 10.3 What Are the Risks of User Studies? . 10.4 Analyzing User Study Results . 10.5 Implementing User Study Results in Practice . References . 119 119 121 122 124 126 11 Website Analytics . 127 127 129 129 130 130 131 131 131 132 132 135 11.1 Introduction . 11.2 Visitor Туре . 11.3 Visit Length . 11.4 Demographic and System Statistics . 11.5 Internal Search . 11.6 Visitor Path . 11.7 Top Pages. 11.8 Referrers and Keyword Analysis
. 11.9 Errors . 11.10 Choosing a Web Analytics Tool. References . Part V Validation Methods 12.1 Introduction . 12.2 WhyNot Count Instead of Measure? . References . 139 139 142 145 Glossary. 147 12 A Discussionof the Validity of Data Analytics. |
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| spelling | Jansen, Bernard J. Verfasser (DE-588)1236207440 aut Understanding audiences, customers, and users via analytics an introduction to the employment of web, social, and other types of digital people data Bernard J. Jansen, Kholoud K. Aldous, Joni Salminen, Hind Almerekhi, Soon-gyo Jung Cham, Switzerland Springer [2024] © 2024 xix, 152 Seiten Illustrationen txt rdacontent n rdamedia nc rdacarrier Synthesis Lectures on Information Concepts, Retrieval, and Services Digital media Sampling (Statistics) Application software Communication Business—Data processing Quantitative research Quantitative Methode (DE-588)4232139-6 gnd rswk-swf Neue Medien (DE-588)4196910-8 gnd rswk-swf Anwendungssoftware (DE-588)4120906-0 gnd rswk-swf Datenverarbeitung (DE-588)4011152-0 gnd rswk-swf Kommunikation (DE-588)4031883-7 gnd rswk-swf Stichprobe (DE-588)4057502-0 gnd rswk-swf Hardcover, Softcover / Mathematik/Wahrscheinlichkeitstheorie, Stochastik, Mathematische Statistik Neue Medien (DE-588)4196910-8 s Stichprobe (DE-588)4057502-0 s Anwendungssoftware (DE-588)4120906-0 s Kommunikation (DE-588)4031883-7 s Datenverarbeitung (DE-588)4011152-0 s Quantitative Methode (DE-588)4232139-6 s DE-604 Aldous, Kholoud K. Verfasser aut Salminen, Joni ca. 20./21. Jh. Verfasser (DE-588)1238177883 aut Almerekhi, Hind Verfasser aut Jung, Soon-gyo ca. 20./21. Jh. Verfasser (DE-588)1238178456 aut Erscheint auch als Online-Ausgabe 978-3-031-41933-1 Digitalisierung UB Bamberg - ADAM Catalogue Enrichment application/pdf http://bvbr.bib-bvb.de:8991/F?func=service&doc_library=BVB01&local_base=BVB01&doc_number=034610786&sequence=000001&line_number=0001&func_code=DB_RECORDS&service_type=MEDIA Inhaltsverzeichnis |
| spellingShingle | Jansen, Bernard J. Aldous, Kholoud K. Salminen, Joni ca. 20./21. Jh Almerekhi, Hind Jung, Soon-gyo ca. 20./21. Jh Understanding audiences, customers, and users via analytics an introduction to the employment of web, social, and other types of digital people data Digital media Sampling (Statistics) Application software Communication Business—Data processing Quantitative research Quantitative Methode (DE-588)4232139-6 gnd Neue Medien (DE-588)4196910-8 gnd Anwendungssoftware (DE-588)4120906-0 gnd Datenverarbeitung (DE-588)4011152-0 gnd Kommunikation (DE-588)4031883-7 gnd Stichprobe (DE-588)4057502-0 gnd |
| subject_GND | (DE-588)4232139-6 (DE-588)4196910-8 (DE-588)4120906-0 (DE-588)4011152-0 (DE-588)4031883-7 (DE-588)4057502-0 |
| title | Understanding audiences, customers, and users via analytics an introduction to the employment of web, social, and other types of digital people data |
| title_auth | Understanding audiences, customers, and users via analytics an introduction to the employment of web, social, and other types of digital people data |
| title_exact_search | Understanding audiences, customers, and users via analytics an introduction to the employment of web, social, and other types of digital people data |
| title_exact_search_txtP | Understanding audiences, customers, and users via analytics an introduction to the employment of web, social, and other types of digital people data |
| title_full | Understanding audiences, customers, and users via analytics an introduction to the employment of web, social, and other types of digital people data Bernard J. Jansen, Kholoud K. Aldous, Joni Salminen, Hind Almerekhi, Soon-gyo Jung |
| title_fullStr | Understanding audiences, customers, and users via analytics an introduction to the employment of web, social, and other types of digital people data Bernard J. Jansen, Kholoud K. Aldous, Joni Salminen, Hind Almerekhi, Soon-gyo Jung |
| title_full_unstemmed | Understanding audiences, customers, and users via analytics an introduction to the employment of web, social, and other types of digital people data Bernard J. Jansen, Kholoud K. Aldous, Joni Salminen, Hind Almerekhi, Soon-gyo Jung |
| title_short | Understanding audiences, customers, and users via analytics |
| title_sort | understanding audiences customers and users via analytics an introduction to the employment of web social and other types of digital people data |
| title_sub | an introduction to the employment of web, social, and other types of digital people data |
| topic | Digital media Sampling (Statistics) Application software Communication Business—Data processing Quantitative research Quantitative Methode (DE-588)4232139-6 gnd Neue Medien (DE-588)4196910-8 gnd Anwendungssoftware (DE-588)4120906-0 gnd Datenverarbeitung (DE-588)4011152-0 gnd Kommunikation (DE-588)4031883-7 gnd Stichprobe (DE-588)4057502-0 gnd |
| topic_facet | Digital media Sampling (Statistics) Application software Communication Business—Data processing Quantitative research Quantitative Methode Neue Medien Anwendungssoftware Datenverarbeitung Kommunikation Stichprobe |
| url | http://bvbr.bib-bvb.de:8991/F?func=service&doc_library=BVB01&local_base=BVB01&doc_number=034610786&sequence=000001&line_number=0001&func_code=DB_RECORDS&service_type=MEDIA |
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