Modeling Social Networking Privacy [PDF]
In this paper we propose to use a formal language, called Secure UML, to model social networking privacy. Secure UML is a language for specifying role-based static and dynamic access control policies, the latter being policies that depend on the run-time satisfaction of specific constraints (e.g., the privacy settings in social networking sites).
Carolina Dania, Manuel Clavel
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A new stochastic diffusion model for influence maximization in social networks
Most current studies on information diffusion in online social networks focus on the deterministic aspects of social networks. However, the behavioral parameters of online social networks are uncertain, unpredictable, and time-varying.
Alireza Rezvanian +2 more
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Opinion Impact Models and Opinion Consensus Methods in Ad Hoc Tactical Social Networks
Ad hoc social networks are special social networks, such as ad hoc tactical social networks, ad hoc firefighter social networks, and ad hoc vehicular social networks.
Demin Li +3 more
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Metric Learning Combining With Boosting for User Distance Measure in Multiple Social Networks
How to model user distance from multiple social networks is an important challenge. People often simultaneously appear in multiple social networks that can provide complementary services.
Yufei Liu, Dechang Pi, Lin Cui
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The Role of Social and Cultural Factors in Consumer Purchasing Behavior in Social Networks [PDF]
Nowadays, some customers tend to buy clothes through social networks, and several factors affect this willingness. One of the important factors influencing people's willingness to buy clothing through social networks is social and cultural factors. Hence,
Zohreh Dehdashti Shahrokh +3 more
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Capacity and Delay Analysis for Large Social-Aware Mobile Ad Hoc Wireless Networks
Most mobile ad hoc wireless networks have social features. It is a fundamental problem how to understand the performances of social-aware mobile ad hoc wireless networks.
Yang Zhou, Yan Shi, Shanzhi Chen
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Descriptive Modeling of Social Networks
These last years, many analysis methods have been proposed to extract knowledge from social networks. As for the traditional data mining domain, these network-based approaches can be classified according to two main families. The approaches based on predictive modelling, which encompass the techniques that analyse current and historical facts to make ...
Stattner, Erick, Collard, Martine
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Modeling diffusion of innovations in a social network [PDF]
4 pages, 5 figures.
Guardiola Martínez, Xavier +4 more
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Developing a method for modeling and monitoring of dynamic networks using latent variables [PDF]
Statistical monitoring of dynamic networks is a major topic of interest in complex social systems. Many researches have been conducted on modeling and monitoring dynamic social networks. This article proposes a new methodology for modeling and monitoring
Fatemeh Elhambakhsh +1 more
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SUPERCOMPUTER SIMULATION OF CRITICAL PHENOMENA IN COMPLEX SOCIAL SYSTEMS [PDF]
The paper describes a problem of computer simulation of critical phenomena in complex social systems on a petascale computing systems in frames of complex networks approach.
Petrus M.A. Sloot +12 more
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