PMCDM: Privacy-preserving multiresolution community detection in multiplex networks
作者：
Highlights：
• This paper aims at detecting community structures in privacy preserving multiplex networks.
• We use multiplex networks to model data in internet of things.
• We use differential privacy and homomorphic cryptosystem to protect multiplex networks.
• We model multiresolution community detection as the optimization of Dλ.
• We propose a two-level greedy algorithm to solve the modeled optimization problems.
摘要
•This paper aims at detecting community structures in privacy preserving multiplex networks.•We use multiplex networks to model data in internet of things.•We use differential privacy and homomorphic cryptosystem to protect multiplex networks.•We model multiresolution community detection as the optimization of Dλ.•We propose a two-level greedy algorithm to solve the modeled optimization problems.
论文关键词：Multiplex network,Community detection,Internet of Things,Network privacy,Greedy algorithm
论文评审过程：Received 30 September 2021, Revised 1 March 2022, Accepted 3 March 2022, Available online 14 March 2022, Version of Record 26 March 2022.
论文官网地址：https://doi.org/10.1016/j.knosys.2022.108542
