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by Lance Kaplan, Tarek Abdelzaher, Dong Wang
Social Sensing
Cover image
Title page
Table of Contents
Copyright
Dedication
Acknowledgments
Authors
Foreword
Preface
Chapter 1: A new information age
Abstract
1.1 Overview
1.2 Challenges
1.3 State of the Art
1.4 Organization
Chapter 2: Social sensing trends and applications
Abstract
2.1 Information Sharing: The Paradigm Shift
2.2 An Application Taxonomy
2.3 Early Research
2.4 The Present Time
2.5 A Note on Privacy
Chapter 3: Mathematical foundations of social sensing: An introductory tutorial
Abstract
3.1 A Multidisciplinary 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
Abstract
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
4.4 The Iterative Algorithm
4.5 Examples and Results
4.6 Discussion
Appendix
Chapter 5: Social Sensing: A maximum likelihood estimation approach
Abstract
5.1 The Social Sensing Problem
5.2 Expectation Maximization
5.3 The EM Fact-Finding Algorithm
5.4 Examples and Results
5.5 Discussion
Chapter 6: Confidence bounds in social sensing
Abstract
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
6.6 Discussion
Appendix
Chapter 7: Resolving conflicting observations and non-binary claims
Abstract
7.1 Handling Conflicting Binary Observations
7.2 Handling Non-Binary Claims
7.3 Performance Evaluation
7.4 Discussion
Appendix
Chapter 8: Understanding the social network
Abstract
8.1 Information Propagation Cascades
8.2 A Binary Model of Human Sensing
8.3 Inferring the Social Network
8.4 A Social-Aware Algorithm
8.5 Evaluation
8.6 Discussion and Limitations
Chapter 9: Understanding physical dependencies: Social meets cyber-physical
Abstract
9.1 Correlations in the Physical World
9.2 Accounting for the Opportunity to Observe
9.3 Accounting for Physical Dependencies
9.4 Real-World Case Studies
9.5 Discussion
Appendix
Chapter 10: Recursive fact-finding
Abstract
10.1 Real Time Social Sensing
10.2 A Streaming Truth Estimation Model
10.3 Dynamics and the Recursive Algorithm
10.4 Performance Evaluation
10.5 Discussion
Chapter 11: Further readings
Abstract
11.1 Estimation Theory
11.2 Data Quality and Trust Analysis
11.3 Outlier Analysis and Attack Detection
11.4 Recommender Systems
11.5 Surveys and Opinion Polling
Chapter 12: Conclusions and future challenges
Abstract
12.1 Summary and Conclusions
12.2 Remaining Challenges and Future Work
References
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