Differentially Private Release of the Distribution of Clustering Coefficients across Communities
Aiming to provide more information about the behaviors between groups or patterns between clusters in social networks, we propose a two-step differentially private method to release the distribution of clustering coefficients across communities. The DPLM algorithm improves a Louvain method to partit...
Main Authors: | Xiaoye Li, Jing Yang, Zhenlong Sun, Jianpei Zhang |
---|---|
Format: | Article |
Language: | English |
Published: |
Hindawi-Wiley
2019-01-01
|
Series: | Security and Communication Networks |
Online Access: | http://dx.doi.org/10.1155/2019/2518714 |
Similar Items
-
A Differential Privacy Framework for Collaborative Filtering
by: Jing Yang, et al.
Published: (2019-01-01) -
Differential Privacy for Edge Weights in Social Networks
by: Xiaoye Li, et al.
Published: (2017-01-01) -
Differentially Private Attributed Network Releasing Based on Early Fusion
by: Yuye Wang, et al.
Published: (2021-01-01) -
A Strategy of Cluster-Based Distributed Location Service
by: Peng Wang, et al.
Published: (2019-01-01) -
Differentially Private Mixed Data Release Algorithm Based on k-prototype Clustering
by: QU Jingjing, CAI Ying, FAN Yanfang, XIA Hongke
Published: (2021-01-01)