Research Article
Differentially Private Recommendation System Based on Community Detection in Social Network Applications
| Symbol | Description |
| | The modularity, evaluation index of community detection | | , is the sum of the weights of all the links in the network | | The weight between node and node | | The sum of the weights of the edges attached from vertex | | The sum of the weights of the links from to nodes in | | The community. | | An algorithm. | | The result of any query operation | | is a random noise and follows the Laplace distribution of scale parameter | | The sensitivity of | | represents a given practical evaluation function. is data set, represents any legitimate output | | is a social network. V represents the set of users in . . The friendship link denoted by . The set of user attributes is denoted by . . | | The set of attribute categories in , | | The attribute value, equal to label, | | The similarity of attributes between users | | The accuracy of dependence | | The parameters for evaluating utility, it is close to 1 that means utility better, otherwise, it is close to 0, utility lower |
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