Social media analytics strategy : using data to optimize business performance / / April Ursula Fox |
Autore | Fox April Ursula |
Edizione | [Second edition.] |
Pubbl/distr/stampa | Berkeley, California : , : Apress, , [2022] |
Descrizione fisica | 1 online resource (315 pages) |
Disciplina | 658.872 |
Collana | Business professional collection |
Soggetto topico |
Social media - Marketing
Social media - Data processing Marketing - Data processing Internet marketing |
ISBN | 1-4842-8306-6 |
Formato | Materiale a stampa ![]() |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
Nota di contenuto | Part I: Data Chapter 1: Social Media Data Chapter 2: From Data to Insights Chapter 3: Luis Madureira Part II: Defining Analytics in Social Media and Types of Analytics Tools Chapter 4: Analytics in Social Media Chapter 5: Dedicated vs. Hybrid Tools Chapter 6: Alexander and Frederik Peiniger Part III: Differences of Social Media Networks Chapter 7: Social Network Landscape Chapter 8: Tam Su Part IV: The Analytics Process Chapter 9: The Analytics Process Chapter 10: Armando Terribili Part V: Metrics, Dashboards, and Reports Chapter 11: Metrics Chapter 12: Dashboards Chapter 13: Reports Chapter 14: Milan Veverka Part VI: Strategy and Tactics Chapter 15: Strategy Chapter 16: Tactics Chapter 17: Michael Wu Part VII: The Future Chapter 18: Prescriptive Analytics Chapter 19: The Future of Social Media Analytics |
Record Nr. | UNINA-9910584474303321 |
Fox April Ursula
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Berkeley, California : , : Apress, , [2022] | ||
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Lo trovi qui: Univ. Federico II | ||
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Social sensing : building reliable systems on unreliable data / / Dong Wang, Tarek Abdelzaher, Lance Kaplan |
Autore | Wang Dong |
Edizione | [First edition.] |
Pubbl/distr/stampa | Amsterdam : , : Elsevier, , [2015] |
Descrizione fisica | 1 online resource (232 p.) |
Disciplina | 302.30285 |
Soggetto topico |
Social media - Data processing
Information technology |
Soggetto genere / forma | Electronic books. |
ISBN | 0-12-800867-9 |
Formato | Materiale a stampa ![]() |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
Nota di contenuto |
""Front Cover""; ""Social Sensing: Building Reliable Systems on Unreliable Data""; ""Copyright""; ""Dedication""; ""Contents""; ""Acknowledgments""; ""Authors""; ""Dong Wang""; ""Tarek Abdelzaher""; ""Lance M. Kaplan""; ""Foreword""; ""Preface""; ""Chapter 1: A new information age""; ""1.1 Overview""; ""1.2 Challenges""; ""1.3 State of the Art""; ""1.3.1 Efforts on Discount Fusion""; ""1.3.2 Efforts on Trust and Reputation Systems""; ""1.3.3 Efforts on Fact-Finding""; ""1.4 Organization""; ""Chapter 2: Social Sensing Trends and Applications""; ""2.1 Information Sharing: The Paradigm Shift""
""2.2 An Application Taxonomy""""2.3 Early Research""; ""2.4 The Present Time""; ""2.5 ANote on Privacy""; ""Chapter 3: Mathematical foundations of social sensing: An introductory tutorial""; ""3.1 AMultidisciplinary Background""; ""3.2 Basics of Generic Networks""; ""3.3 Basics of Bayesian Analysis""; ""3.4 Basics of Maximum Likelihood Estimation""; ""3.5 Basics of Expectation Maximization""; ""3.6 Basics of Confidence Intervals""; ""3.7 Putting It All Together""; ""Chapter 4: Fact-finding in information networks""; ""4.1 Facts, Fact-Finders, and the Existence of Ground Truth"" ""4.2 Overview of Fact-Finders in Information Networks""""4.3 A Bayesian Interpretation of Basic Fact-Finding""; ""4.3.1 Claim Credibility""; ""4.3.2 Source Credibility""; ""4.4 The Iterative Algorithm""; ""4.5 Examples and Results""; ""4.6 Discussion""; ""Appendix""; ""Chapter 5: Social Sensing: A maximum likelihood estimation approach""; ""5.1 The Social Sensing Problem""; ""5.2 Expectation Maximization""; ""5.2.1 Background""; ""5.2.2 Mathematical Formulation""; ""5.2.3 Deriving the E-Step and M-Step""; ""5.3 The EM Fact-Finding Algorithm""; ""5.4 Examples and Results"" ""5.4.1 A Simulation Study""""5.4.2 A Geotagging Case Study""; ""5.4.3 A Real World Application""; ""5.5 Discussion""; ""Chapter 6: Confidence bounds in social sensing""; ""6.1 The Reliability Assurance Problem""; ""6.2 Actual Cramer-Rao Lower Bound""; ""6.3 Asymptotic Cramer-Rao Lower Bound""; ""6.4 Confidence Interval Derivation""; ""6.5 Examples and Results""; ""6.5.1 Evaluation of Confidence Interval""; ""6.5.2 Evaluation of CRLB""; ""Scalability study""; ""Trustworthiness and assertiveness study""; ""Robustness study"" ""6.5.3 Evaluation of Estimated False Positives/Negatives on Claim Classification""""Scalability study""; ""Trustworthiness and assertiveness study""; ""Robustness study""; ""6.5.4 AReal World Case Study""; ""6.6 Discussion""; ""Appendix""; ""Chapter 7: Resolving conflicting observations and non-binary claims""; ""7.1 Handling Conflicting Binary Observations""; ""7.1.1 Extended Model""; ""7.1.2 Re-Derive the E-Step and M-Step""; ""7.1.3 The Binary Conflict EM Algorithm""; ""7.2 Handling Non-Binary Claims""; ""7.2.1 Generalized E and M Steps for Non-Binary Measured Variables"" ""7.2.2 The Generalized EM Algorithm for Non-Binary Measured Variables"" |
Record Nr. | UNISA-996426329703316 |
Wang Dong
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Amsterdam : , : Elsevier, , [2015] | ||
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Lo trovi qui: Univ. di Salerno | ||
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Social sensing : building reliable systems on unreliable data / / Dong Wang, Tarek Abdelzaher, Lance Kaplan |
Autore | Wang Dong |
Edizione | [First edition.] |
Pubbl/distr/stampa | Amsterdam : , : Elsevier, , [2015] |
Descrizione fisica | 1 online resource (232 p.) |
Disciplina | 302.30285 |
Soggetto topico |
Social media - Data processing
Information technology |
ISBN | 0-12-800867-9 |
Formato | Materiale a stampa ![]() |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
Nota di contenuto |
""Front Cover""; ""Social Sensing: Building Reliable Systems on Unreliable Data""; ""Copyright""; ""Dedication""; ""Contents""; ""Acknowledgments""; ""Authors""; ""Dong Wang""; ""Tarek Abdelzaher""; ""Lance M. Kaplan""; ""Foreword""; ""Preface""; ""Chapter 1: A new information age""; ""1.1 Overview""; ""1.2 Challenges""; ""1.3 State of the Art""; ""1.3.1 Efforts on Discount Fusion""; ""1.3.2 Efforts on Trust and Reputation Systems""; ""1.3.3 Efforts on Fact-Finding""; ""1.4 Organization""; ""Chapter 2: Social Sensing Trends and Applications""; ""2.1 Information Sharing: The Paradigm Shift""
""2.2 An Application Taxonomy""""2.3 Early Research""; ""2.4 The Present Time""; ""2.5 ANote on Privacy""; ""Chapter 3: Mathematical foundations of social sensing: An introductory tutorial""; ""3.1 AMultidisciplinary Background""; ""3.2 Basics of Generic Networks""; ""3.3 Basics of Bayesian Analysis""; ""3.4 Basics of Maximum Likelihood Estimation""; ""3.5 Basics of Expectation Maximization""; ""3.6 Basics of Confidence Intervals""; ""3.7 Putting It All Together""; ""Chapter 4: Fact-finding in information networks""; ""4.1 Facts, Fact-Finders, and the Existence of Ground Truth"" ""4.2 Overview of Fact-Finders in Information Networks""""4.3 A Bayesian Interpretation of Basic Fact-Finding""; ""4.3.1 Claim Credibility""; ""4.3.2 Source Credibility""; ""4.4 The Iterative Algorithm""; ""4.5 Examples and Results""; ""4.6 Discussion""; ""Appendix""; ""Chapter 5: Social Sensing: A maximum likelihood estimation approach""; ""5.1 The Social Sensing Problem""; ""5.2 Expectation Maximization""; ""5.2.1 Background""; ""5.2.2 Mathematical Formulation""; ""5.2.3 Deriving the E-Step and M-Step""; ""5.3 The EM Fact-Finding Algorithm""; ""5.4 Examples and Results"" ""5.4.1 A Simulation Study""""5.4.2 A Geotagging Case Study""; ""5.4.3 A Real World Application""; ""5.5 Discussion""; ""Chapter 6: Confidence bounds in social sensing""; ""6.1 The Reliability Assurance Problem""; ""6.2 Actual Cramer-Rao Lower Bound""; ""6.3 Asymptotic Cramer-Rao Lower Bound""; ""6.4 Confidence Interval Derivation""; ""6.5 Examples and Results""; ""6.5.1 Evaluation of Confidence Interval""; ""6.5.2 Evaluation of CRLB""; ""Scalability study""; ""Trustworthiness and assertiveness study""; ""Robustness study"" ""6.5.3 Evaluation of Estimated False Positives/Negatives on Claim Classification""""Scalability study""; ""Trustworthiness and assertiveness study""; ""Robustness study""; ""6.5.4 AReal World Case Study""; ""6.6 Discussion""; ""Appendix""; ""Chapter 7: Resolving conflicting observations and non-binary claims""; ""7.1 Handling Conflicting Binary Observations""; ""7.1.1 Extended Model""; ""7.1.2 Re-Derive the E-Step and M-Step""; ""7.1.3 The Binary Conflict EM Algorithm""; ""7.2 Handling Non-Binary Claims""; ""7.2.1 Generalized E and M Steps for Non-Binary Measured Variables"" ""7.2.2 The Generalized EM Algorithm for Non-Binary Measured Variables"" |
Record Nr. | UNINA-9910797002403321 |
Wang Dong
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Amsterdam : , : Elsevier, , [2015] | ||
![]() | ||
Lo trovi qui: Univ. Federico II | ||
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Social sensing : building reliable systems on unreliable data / / Dong Wang, Tarek Abdelzaher, Lance Kaplan |
Autore | Wang Dong |
Edizione | [First edition.] |
Pubbl/distr/stampa | Amsterdam : , : Elsevier, , [2015] |
Descrizione fisica | 1 online resource (232 p.) |
Disciplina | 302.30285 |
Soggetto topico |
Social media - Data processing
Information technology |
ISBN | 0-12-800867-9 |
Formato | Materiale a stampa ![]() |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
Nota di contenuto |
""Front Cover""; ""Social Sensing: Building Reliable Systems on Unreliable Data""; ""Copyright""; ""Dedication""; ""Contents""; ""Acknowledgments""; ""Authors""; ""Dong Wang""; ""Tarek Abdelzaher""; ""Lance M. Kaplan""; ""Foreword""; ""Preface""; ""Chapter 1: A new information age""; ""1.1 Overview""; ""1.2 Challenges""; ""1.3 State of the Art""; ""1.3.1 Efforts on Discount Fusion""; ""1.3.2 Efforts on Trust and Reputation Systems""; ""1.3.3 Efforts on Fact-Finding""; ""1.4 Organization""; ""Chapter 2: Social Sensing Trends and Applications""; ""2.1 Information Sharing: The Paradigm Shift""
""2.2 An Application Taxonomy""""2.3 Early Research""; ""2.4 The Present Time""; ""2.5 ANote on Privacy""; ""Chapter 3: Mathematical foundations of social sensing: An introductory tutorial""; ""3.1 AMultidisciplinary Background""; ""3.2 Basics of Generic Networks""; ""3.3 Basics of Bayesian Analysis""; ""3.4 Basics of Maximum Likelihood Estimation""; ""3.5 Basics of Expectation Maximization""; ""3.6 Basics of Confidence Intervals""; ""3.7 Putting It All Together""; ""Chapter 4: Fact-finding in information networks""; ""4.1 Facts, Fact-Finders, and the Existence of Ground Truth"" ""4.2 Overview of Fact-Finders in Information Networks""""4.3 A Bayesian Interpretation of Basic Fact-Finding""; ""4.3.1 Claim Credibility""; ""4.3.2 Source Credibility""; ""4.4 The Iterative Algorithm""; ""4.5 Examples and Results""; ""4.6 Discussion""; ""Appendix""; ""Chapter 5: Social Sensing: A maximum likelihood estimation approach""; ""5.1 The Social Sensing Problem""; ""5.2 Expectation Maximization""; ""5.2.1 Background""; ""5.2.2 Mathematical Formulation""; ""5.2.3 Deriving the E-Step and M-Step""; ""5.3 The EM Fact-Finding Algorithm""; ""5.4 Examples and Results"" ""5.4.1 A Simulation Study""""5.4.2 A Geotagging Case Study""; ""5.4.3 A Real World Application""; ""5.5 Discussion""; ""Chapter 6: Confidence bounds in social sensing""; ""6.1 The Reliability Assurance Problem""; ""6.2 Actual Cramer-Rao Lower Bound""; ""6.3 Asymptotic Cramer-Rao Lower Bound""; ""6.4 Confidence Interval Derivation""; ""6.5 Examples and Results""; ""6.5.1 Evaluation of Confidence Interval""; ""6.5.2 Evaluation of CRLB""; ""Scalability study""; ""Trustworthiness and assertiveness study""; ""Robustness study"" ""6.5.3 Evaluation of Estimated False Positives/Negatives on Claim Classification""""Scalability study""; ""Trustworthiness and assertiveness study""; ""Robustness study""; ""6.5.4 AReal World Case Study""; ""6.6 Discussion""; ""Appendix""; ""Chapter 7: Resolving conflicting observations and non-binary claims""; ""7.1 Handling Conflicting Binary Observations""; ""7.1.1 Extended Model""; ""7.1.2 Re-Derive the E-Step and M-Step""; ""7.1.3 The Binary Conflict EM Algorithm""; ""7.2 Handling Non-Binary Claims""; ""7.2.1 Generalized E and M Steps for Non-Binary Measured Variables"" ""7.2.2 The Generalized EM Algorithm for Non-Binary Measured Variables"" |
Record Nr. | UNINA-9910810570403321 |
Wang Dong
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Amsterdam : , : Elsevier, , [2015] | ||
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Lo trovi qui: Univ. Federico II | ||
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