An efficient graph community clustering and ranking-based cryptographic privacy preserving framework on large social databases

In today’s digital age, individuals using online social platforms have created complex social connections, transforming the landscape of virtual relationships. In traditional graph-based models, various issues, such as community clustering, privacy preserving on large data and effective anomaly dete...

Full description

Bibliographic Details

Published in:	Cogent Engineering
Main Authors:	Shamila. M, G. Rekha, K. Vinuthna Reddy
Format:	Article
Language:	English
Published:	Taylor & Francis Group 2024-12-01
Subjects:	Online social networking graph Privacy-Preserving Data Mining Multi-Privacy Control Framework community clustering cryptographic system Professor Swadesh Singh, Gokaraju Rangaraju Institute of Engineering and Technology, Hyderabad, India
Online Access:	https://www.tandfonline.com/doi/10.1080/23311916.2024.2380351