Name
Title | ||
|---|---|---|
Determining A Discrete Set Of Site-Constrained Privacy Options For Users In Social Networks Through Stackelberg Games |
Abstract | ||
|---|---|---|
The privacy policies of an online social network play an important role in determining user involvement and satisfaction, and in turn site profit and success. In this paper, we develop a game theoretic framework to model the relationship between the set of privacy options offered by a social network site and the sharing decisions of its users within these constraints. We model the site and the users in this scenario as the leader and followers, respectively, in a Stackelberg game. We formally establish the conditions under which this game reaches a Nash equilibrium in pure strategies and provide an approximation algorithm for the site to determine a discrete set of privacy options to maximize payoff. We validate hypotheses in our model on data collected from a mock-social network of users' privacy preferences both within and outside the context of peer influence, and demonstrate that the qualitative assumptions of our model are well-founded. |
Year | DOI | Venue |
|---|---|---|
2015 | 10.1007/978-3-319-25594-1_12 | DECISION AND GAME THEORY FOR SECURITY, GAMESEC 2015 |
Field | DocType | Volume |
Approximation algorithm,Peer influence,Social network,Strategy,Computer science,Privacy policy,Microeconomics,Stackelberg competition,Nash equilibrium,Stochastic game | Conference | 9406 |
ISSN | Citations | PageRank |
0302-9743 | 0 | 0.34 |
References | Authors | |
16 | 3 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Sarah Michele Rajtmajer | 1 | 31 | 10.06 |
| Christopher Griffin | 2 | 58 | 11.43 |
| Anna Cinzia Squicciarini | 3 | 1301 | 106.30 |