声明
Abstract
摘要
CONTENTS
List of Figures
List of Tables
1 Introduction
1.1 Dynamic Social Networks (DSNs)
1.2 Dynamic Social Network Applications
1.3 Dynamic Social Network Analysis Techniques
1.3.1 Social Graph
1.3.2 Social-based Human Mobility
1.3.3 Centrality
1.3.4 Social similarity
1.3.5 Friendship
1.3.6 Social Community Structure
1.3.7 Social Tie
1.4 Problem Statement
1.5 Contributions and Novelty
1.6 Outline
1.7 Summary
2 Human Mobility Analysis Framework in Dynamic Social Networks
2.1 Introduction
2.2 Related Work
2.3 Human Mobility Characteristics
2.3.1 Spatial Characteristics
2.3.2 Temporal Characteristics
2.3.3 Contact Characteristics
2.4 Human Mobility Models
2.4.1 Real Mobility Traces
2.5 Simulation-based Mobility Models
2.5.1 Map-based Models
2.5.2 Location-based Models
2.5.3 Community-based Models
2.5.4 Sociological Models
2.6 Human Mobility Prediction
2.6.1 Location Prediction
2.6.2 Time Prediction
2.6.3 Contact Prediction
2.7 Summary
3 Detecting overlapping Communities in Dynamic Social Networks
3.1 Introduction
3.2 Related work
3.3 Proposed Algorithm
3.3.1 Calculating the Weight of Nodes
3.3.2 Primary Processing of Tags
3.3.3 Choosing Primary Points
3.3.4 The Stage of Interaction Simulation
3.3.5 Post Processing
3.4 Compared Algorithms
3.4.1 Algorithm CONGA
3.4.2 Algorithm CONGO
3.4.3 DOCA Algorithm
3.5 Computational Complexity Analysis
3.5.1 Complexity of CONGA
3.5.2 Complexity of CONGO
3.5.3 Complexity of DOCA
3.6 Performance Evaluations
3.6.1 Characteristics of Synthetic Networks
3.6.2 Experimental Procedure Description
3.6.3 Overlapping Communities in Synthetic Networks
3.6.4 Overlapping Communities in Real-World Social Networks
3.7 Results and Discussion
3.8 Summary
4 A Correlation-based Centrality Prediction Algorithm for Dynamic Social Networks
4.1 Introduction
4.2 Related Work
4.3 Centrality in Dynamic Network
4.3.1 Network Graph
4.3.2 Dynamic Network
4.3.3 Centrality Measure
4.4 Katz Centrality
4.5 Centrality Prediction
4.5.1 Computational Complexity Analysis
4.6 Compared Methods
4.6.1 DACCER
4.6.2 Semi-Locally Centrality Article
4.7 Performance Evaluation
4.8 Summary
5 A Social Feature-based Method to Identify Key Players in Dynamic Social Networks
5.1 Introduction
5.2 Related Work
5.3 Models and Definitions
5.3.1 Dynamic Social Network Model
5.4 Problem Statement
5.5 Social Feature-based Key Player Identification
5.5.1 Readiness
5.5.2 Sociability
5.5.3 Specialty
5.5.4 Flexibility
5.5.5 Opinion Update Mechanism
5.6 Simulations and Evaluation Results
5.6.1 Compared Methods
5.6.2 Comparision Results
5.7 Summary
6 Conclusion and Future work
References
Published Academic Papers during PhD Period
Acknowledgment
About the Author