Analysis of Facebook Friends Using Disclosure Level

Abstract

Social Networking Services (SNSes), such as Facebook and Twitter, provide a communication platform that easily communicates with a family, close friends, acquaintances and strangers. On the other hands, SNS users often unintentionally post a message on SNSes, including one's own sensitive information, and is revealed to other users. As a result, an SNS user can lose friend, or even a job. Moreover offhand posts can result in unforeseen problems. In order to prevent privacy leaks to SNSes, we defined an objective classificationtable of invasion of privacy for SNSes that will be based on classification according to contents of information, which should be kept private, and disclosure level. We also proposed a method that uses the classification table to provide settings for access control that prevent privacy leaks. In this paper, as a realization of this method, we developed a prototype system that adaptive disclosure control system on Facebook based on detection of sensitive information leaks and friends classified according to the disclosure level.

Novel Approach for Optimizing Information Propagation in Dynamic Social Network

“…Krol and Atijas [26] have presented a study for identifying a specific community of friends. Machida et al [27] have presented an approach for securing privacy problems in social networks. Arnaboldi et al [28][29] have presented a discussion of using ego networks.…”

A Probabilistic Privacy Preserving Strategy for Word‐of‐Mouth Social Networks

“…Weights of each grade from big to small are 1, 0.8, 0.6, 0.4, 0.2. Therefore, the direct trust degree ( , ) of the ( + 1)th interaction can be calculated by (6).…”

“…In addition, it also depends on how much and what data the user wants to release. To tackle this issue, access control has been envisioned as a promising and effective approach to protect privacy of a person's account [4][5][6]. We intend to carefully 2 Wireless Communications and Mobile Computing design a strategy among users in the word-of-mouth social network to share their data within a trusted user set.…”

PrivacyTag: A Community-Based Method for Protecting Privacy of Photographed Subjects in Online Social Networks

“…However, privacy management is not only complicated, maintaining it requires a lot of effort [7]. This has prompted many studies on information disclosure boundaries, including proposals for access control for posts [7,11,12]. However, many of these studies focused on the privacy of the poster while ignoring the privacy of others in a photo.…”