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Big Brother Knows Your Friends: on Privacy of Social Communities in Pervasive Networks

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Personalized ranking methods are at the core of many systems that learn to produce recommendations from user feedbacks. Their primary objective is to identify relevant items from very large vocabularies and to assist users in discovering new content. These ...

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Over the past two decades, a number of digital platforms have been developed with the aim of engaging citizens in scientific research projects. The success of these platforms depends in no small part on their ability to attract and retain participants, tur ...

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In the last decade, online social networks have enabled people to interact in many ways with each other and with content. The digital traces of such actions reveal people's preferences towards online content such as news or products. These traces often res ...

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Factor graph is a representative graphical model to handle uncertainty of random variables. Factor graph has been used in various application domains such as named entity recognition, social network analysis, and credibility evaluation. In this paper, we s ...

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By the end of 2013, the number of internet-connected mobile devices is expected to exceed that of humans. Omnipresent and context-aware, mobile devices enable people to communicate and exchange data anytime and almost anywhere. The myriad of ”digital footp ...

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A Mobile Ad Hoc Network (MANET) is becoming a practical platform for pervasive social networking. For example, people chat with each other via MANET for instant social activities. How to help mobile users build up trust in pervasive social chatting is beco ...

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The ubiquity of social media in our daily life, the intense user participation, and the explo- sion of multimedia content have generated an extraordinary interest from computer and social scientists to investigate the traces left by users to understand hum ...

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