In this paper, we investigate community detection in social networks aiming to protect the privacy of both the network topologies and the users' attributes.
[PDF] Differentially Private Community Detection in Attributed Social ...
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Aug 8, 2016 · We develop a differentially private community detection algorithm called DPCD that protects the privacy of both the social relationships and ...
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Feb 14, 2020 · DPCD detects communities in social networks via a probabilistic generative model, which can be decomposed into subproblems solved by individual ...
Jan 31, 2022 · In this paper, we study the community detection problem while preserving the privacy of the individual connections (edges) between the vertices.
DPCD detects communities in social networks via a probabilistic generative model, which can be decomposed into subproblems solved by individual users. The ...
We propose a privacy-preserving community detection method, CD-LDP, based on node-LDP, achieving efficient and accurate community construction by aggregating ...
Abstract: We present a novel method for publishing differentially private synthetic attributed graphs. Our method allows, for the first time, ...
Jul 11, 2024 · This paper proposes LDP-Cd, a two-phase community detection framework under local differential privacy.
Jan 10, 2022 · A new community detection method based on the local differential privacy model (named LDPCD) is proposed in this paper.
Aug 31, 2019 · We present a novel method for publishing differentially private synthetic attributed graphs. Unlike preceding approaches, our method is able to ...