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1. Introduction
1.1. Chapter overview

2. Terminology and definitions
2.1. Attributes
2.2. Risk sources
2.3. Data inference
2.4. Threat
2.5. Privacy harm
2.6. Privacy risks
2.7. Privacy risk analysis

3. Dimensions of privacy scoring in OSNs
3.1. Type of data
3.2. Assumptions about the user
3.3. Privacy settings
3.4. Risk sources
3.5. Privacy metrics
3.6. Data inference
3.7. Suggestion of countermeasures

4. Attribute visibility in OSN
4.1. Visibility matrix
4.2. Construction of visibility matrix
4.3. An illustration
4.4. Open problems

5. Harm trees for OSNs
5.1. Harm trees
5.2. Construction of harm trees
5.3. Harm expressions
5.4. Harm database
5.5. Open problems

6. Privacy risk analysis in OSNs
6.1. An overview
6.2. PrivOSN in details
6.3. Residual risks
6.4. Open problems

7. Social benefits
7.1. Social ties
7.2. Social capital
7.3. Understanding social benefits
7.4. Evaluation of social benefit
7.5. Open problems

8. Choosing the right privacy settings
8.1. Privacy and social benefit tradeoff in privacy management
8.2. An integer programming model
8.3. Formulation of the ip problem
8.4. Open problems
9. Conclusion.

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