Paper Info
Title
Impact of Neighbors on the Privacy of Individuals in Online Social Networks.
Abstract
The problem of user privacy enforcement in online social networks (OSN) cannot be ignored and, in recent years, Facebook and other providers have improved considerably their privacy protection tools. However, in OSN’s the most powerful data protection “weapons” are the users themselves. The behavior of an individual acting in an OSN highly depends on her level of privacy attitude: an aware user tends not to share her private information, or the private information of her friends, while an unaware user could not recognize some information as private, and could share it without care to her contacts. In this paper, we experimentally study the role of the attitude on privacy of an individual and her friends on information propagation in social networks. We model information diffusion by means of an extension of the Susceptible-Infectious-Recovered (SIR) epidemic model that takes into account the privacy attitude of users. We employ this diffusion model in stochastic simulations on a synthetic social network, designed for miming the characteristics of the Facebook social graph.
Year
DOI
Venue
2017
10.1016/j.procs.2017.05.030
Procedia Computer Science
Keywords
Field
DocType
complex networks,modeling,information diffusion,privacy
Data mining,Internet privacy,Social network,Social graph,Computer science,Computer security,Enforcement,Complex network,Data Protection Act 1998,Information privacy,Private information retrieval,Privacy software
Conference
Volume
ISSN
Citations 
108
1877-0509
1
PageRank 
References 
Authors
0.43
11
2
Name
Order
Citations
PageRank
Livio Bioglio1277.56
Ruggero G. Pensa235431.20