Open AccessPosted Content
An Informed Model of Personal Information Release in Social Networking Sites
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TL;DR: In this article, a deception model for online users is proposed to characterize a user's willingness to release, withhold or lie about information depending on the behavior of individuals within the user's circle of friends.
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Abstract: The emergence of online social networks and the growing popularity of digital communication has resulted in an increasingly amount of information about individuals available on the Internet. Social network users are given the freedom to create complex digital identities, and enrich them with truthful or even fake personal information. However, this freedom has led to serious security and privacy incidents, due to the role users' identities play in establishing social and privacy settings.
In this paper, we take a step toward a better understanding of online information exposure. Based on the detailed analysis of a sample of real-world data, we develop a deception model for online users. The model uses a game theoretic approach to characterizing a user's willingness to release, withhold or lie about information depending on the behavior of individuals within the user's circle of friends. In the model, we take into account both the heterogeneous nature of users and their different attitudes, as well as the different types of information they may expose online.
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Citations
Self-consciousness and emotions driving femvertising: A path analysis of women’s attitude towards femvertising, forwarding intention and purchase intention
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TL;DR: In this paper, a large number of brands are launching campaigns marketing feminism, while promoting products brands are selling empowerment to women through marketing campaigns, which is making huge waves in the media.
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Modeling profile-attribute disclosure in online social networks from a game theoretic perspective
Jundong Chen
- 01 Jan 2014
TL;DR: This dissertation considers the problem of finding the optimal strategy for the disclosure of user attributes in social networks from a game-theoretic perspective and models the privacy settings’ dynamics of social networks with three gametheoretic approaches to understand the influence of different factors on users’ privacy choices.
1
Identification and prevention of multiple account in social media
E. Elangovan,D. Chandrakala +1 more
- 01 Jan 2015
TL;DR: The work concentrate on detection method based on non-verbal behaviour for identity deception which can be applied to many types of social media and yield a high detection accuracy rate and computational efficiency for the social media environment.
1
•Posted Content
Game Theoretic Formation of a Centrality Based Network
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TL;DR: In this article, the formation of networks is modeled as a game where players aspire to maximize their own centrality by increasing the number of other players to which they are path-wise connected, while simultaneously incurring a cost for each added adjacent edge.
1
•Dissertation
A Novel Approach to Modeling Contextual Privacy Preference and Practice
Peter Jozsef Radics
- 27 Sep 2016
1
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Existence and uniqueness of equilibrium points for concave n-person games
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Discrete, continuous, and hybrid Petri Nets
Ren David,Hassane Alla +1 more
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TL;DR: This monograph presents a well written and clearly organized introduction in the standard methods of Petri Nets with the aim to reach an accurate understanding of continuous and hybrid Petri nets, while preserving the consistency of basic concepts throughout the book.
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Consumer information, product quality, and seller reputation
TL;DR: The authors analyzes markets in which consumers are imperfectly informed about product quality and analyzes the relationship between consumer information and product quality, and shows that reputation can work only imperfectly.
Towards identity anonymization on graphs
Kun Liu,Evimaria Terzi +1 more
- 09 Jun 2008
TL;DR: This work formally defines the graph-anonymization problem that, given a graph G, asks for the k-degree anonymous graph that stems from G with the minimum number of graph-modification operations, and devise simple and efficient algorithms for solving this problem.
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