It is very vulnerable to attacks. Many segments of information can be defined as user's privacy. In a friends' network, subgraph structure of nodes could be the ...
We proposed a privacy-preserving method for weighted social networks by combining differential privacy-based techniques and DW transform for weight matrix. •.
This paper discusses the low adoption of PETs among SNS users, based on the results of an empirical investigation among users of social networking services. 170 ...
People also ask
What is diffusion in social network?
Diffusion in the social network can be referred to spread of information among interconnected nodes or entities in a network. The rate and intensity of diffusion depend upon network topology and initialization of network parameters. Individual nodes act as source of motivation for others in the diffusion process.
What is security and privacy in social networks?
Privacy concerns with social networking services is a subset of data privacy, involving the right of mandating personal privacy concerning storing, re-purposing, provision to third parties, and displaying of information pertaining to oneself via the Internet.
What are the models of information diffusion?
The simplest and most widely used models of information diffusion are the independent cascades (IC) and the linear threshold (LT) models. In the case of IC, newly activated nodes (i.e. nodes that receive information) try to activate their neighbours with a probability of diffusion defined by their social links.
What is the process of information diffusion?
Diffusion is the process by which information is spread from one place to another through interactions. It is a field that encompasses techniques from a plethora of sciences and techniques from different fields such as sociology, epidemiology, and ethnography.
Diffusion Wavelet-based Privacy Preserving in social networks · Authors: · Author Picture Hui Tian. School of Computer Science, The University of Adelaide, ...
Diffusion Wavelet-based Privacy Preserving in social networks. Hui Tian, Jingtian Liu, Hong Shen. University of Adelaide; Beijing Jiaotong University.
Bibliographic details on Diffusion Wavelet-based Privacy Preserving in social networks.
Experimental results on two real datasets show that the proposed DWT-DP method achieves good data utility in condition of preserving sensitive weight ...
Mar 11, 2022 · Experimental results on two real datasets show that the proposed method achieves good data utility in condition of preserving sensitive weight ...
Experimental results on two real datasets show that the proposed method achieves good data utility in condition of preserving sensitive weight information. Full ...
Jun 1, 2022 · AbstractTrying to solve the problem of weight information disclosure in weighted social network, a privacy preserving data publishing method ...