A time-evolution model for the privacy degree of information disseminated in online social networks

Date

2013-01-01

Author

Othmane, Lotfi Ben
Weffers, Harold
Angın, Pelin
Bhargava, Bharat

Metadata

Show full item record

This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.

Item Usage Stats

134
views

0
downloads

People tend to share private information with their friends on online social networks (OSNs). The common position is that the shared information eventually reaches all users of the network since OSNs exhibit the small-world property. However, dissemination of private information in an OSN exhibits a set of factors that need to be accounted for in order to create more realistic models of the evolution of the privacy degree of information disseminated in an OSN. Among these factors are relationship strength between communicating users, influence of neighbours (i.e., friends), users' adoption of new information, change of information, and dynamics of the structure of OSNs. This paper proposes a time series model for measuring the privacy of information disseminated in an OSN using the factors listed above. It shows through simulating the dissemination of private information in an OSN that the privacy of information does not vanish, but in most cases declines to a saturation level related to the information dissemination factors. The results also show how likely a user can get the information when the factors are accounted for.

Subject Keywords

Computer Networks and Communications

URI

https://hdl.handle.net/11511/42319

Journal

International Journal of Communication Networks and Distributed Systems

DOI

https://doi.org/10.1504/ijcnds.2013.057719

Collections

Department of Computer Engineering, Article

Suggestions

OpenMETU
Core

Analyzing and Predicting Privacy Settings in the Social Web Naini, Kaweh Djafari; Altıngövde, İsmail Sengör; Kawase, Ricardo; Herder, Eelco; Niederee, Claudia (2015-07-03) Social networks provide a platform for people to connect and share information and moments of their lives. With the increasing engagement of users in such platforms, the volume of personal information that is exposed online grows accordingly. Due to carelessness, unawareness or difficulties in defining adequate privacy settings, private or sensitive information may be exposed to a wider audience than intended or advisable, potentially with serious problems in the private and professional life of a user. Alt...
Analyzing and Mining Comments and Comment Ratings on the Social Web SİERSDORFER, Stefan; CHELARU, Sergiu; Pedro, Jose San; Altıngövde, İsmail Sengör; NEJDL, Wolfgang (Association for Computing Machinery (ACM), 2014-06-01) An analysis of the social video sharing platform YouTube and the news aggregator Yahoo! News reveals the presence of vast amounts of community feedback through comments for published videos and news stories, as well as through metaratings for these comments. This article presents an in-depth study of commenting and comment rating behavior on a sample of more than 10 million user comments on YouTube and Yahoo! News. In this study, comment ratings are considered first-class citizens. Their dependencies with t...
Highly personalized information delivery to mobile clients Ozen, B; Kilic, O; Altinel, M; Doğaç, Asuman (Springer Science and Business Media LLC, 2004-11-01) The inherent limitations of mobile devices necessitate information to be delivered to mobile clients to be highly personalized according to their profiles. This information may be coming from a variety of resources like Web servers, company intranets, email servers. A critical issue for such systems is scalability, that is, the performance of the system should be in acceptable limits when the number of users increases dramatically. Another important issue is being able to express highly personalized informa...
How to construct optimal one-time signatures Bicakci, K; Tsudik, G; Tung, B (Elsevier BV, 2003-10-22) One-time signature (OTS) offer a viable alternative to public key-based digital signatures. OTS security is typically based only on the strength of the underlying one-way function and does not depend on the conjectured difficulty of some mathematical problem. Although many OTS methods have been proposed in the past, no solid foundation exists for judging their efficiency or optimality. This paper develops a methodology for evaluating OTS methods and presents optimal OTS techniques for a single OTS or a tree...
A new scalable service discipline for real-time traffic: The framed-deadline scheduler Schmidt, Şenan Ece (Elsevier BV, 2007-03-26) Qulaity of Service (Qos) support in a scalable and low-complexity fashion is important in high-speed networks carrying real-time traffic. There are service disciplines that can provide end-to-end bandwidth and delay guarantees. However, they are designed to operate with expensive output quenching switches or with combined input-output queuing (CIOQ) switches that require very complicated fabric work with a CIOQ packet switch to provide the same end-to-end QoS guarantees as service disciplines that only work...

Citation Formats

L. B. Othmane, H. Weffers, P. Angın, and B. Bhargava, “A time-evolution model for the privacy degree of information disseminated in online social networks,” International Journal of Communication Networks and Distributed Systems, pp. 412–430, 2013, Accessed: 00, 2020. [Online]. Available: https://hdl.handle.net/11511/42319.