Feb 14, 2020 · In this paper, we investigate community detection in social networks aiming to protect the privacy of both the network topology and the users' attributes.
DPCD detects communities in social networks via a probabilistic generative model, which can be decomposed into subproblems solved by individual users. The ...
Feb 14, 2020 · Abstract—Community detection is an effective approach to unveil relationships among individuals in online social networks.
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Jul 11, 2024 · This paper proposes LDP-Cd, a two-phase community detection framework under local differential privacy.
This paper chooses Louvain method as the back-end community detection for input perturbation schemes and designs ModDivisive using exponential mechanism ...
Oct 22, 2024 · This paper presents a survey of the existing algorithms and approaches for the detection of communities in social networks.
In this paper, we investigate community detection in social networks aiming to protect the privacy of both the network topologies and the users' attributes.
Missing: Online Parsimonious
Jul 29, 2024 · This paper applies a swarm-based clustering technique, called Whale Optimization Algorithm (WOA) for clustering social data. The WOA algorithm ...
Jan 10, 2022 · Finally, LDPCD is adopted to conduct community detection on two social network datasets to prove its effectiveness. In summary, the following ...
Missing: Parsimonious | Show results with:Parsimonious
Jul 20, 2022 · Community detection in online social media networks is to identify the connections of nodes within the network. The community can be ...