Blending Digital and Face-to-Face Interaction Using a Co -Located Social MediaApp in Class

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During the last decade, the scientific community has witnessed an unprecedented deployment of large-scale, federated e-Infrastructures such as Grid Computing, primarily for supporting data-intensive scientific exploration and coordinated problem solving. H ...

In this integrated study of dynamics in MOOCs discussion forums, we analyze the interplay of temporal patterns, discussion content, and the social structure emerging from the communication using mixed methods. A special focus is on the yet under-explored a ...

Networks are data structures that are fundamental for capturing and analyzing complex interactions between objects. While they have been used for decades to solve problems in virtually all scientific fields, their usage for data analysis in real-world prac ...

We present a methodology for enhancing the delivery of user-generated content in online social networks. To this end, we first regularize the social graph via node capacity and link cost information associated with the underlying data network. We then desi ...

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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Contextual information about users is increasingly shared on mobile social networks. Examples of such information include users' locations, events, activities, and the co-presence of others in proximity. When disclosing personal information, users take int ...

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The broad availability of mobile computing devices has prompted the apparition of social media applications that support teaching and learning. However, so far, there is conflicting evidence as to whether the benefits such applications provide in terms of ...

With the popularization of online social networks (OSNs) and smart mobile devices, photo sharing is becoming a part of people’ daily life. An unprecedented number of photos are being uploaded and shared everyday through online social networks or photo host ...

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Group recommender systems suggest items of interest to a group of people. Traditionally, group recommenders provide recommendations by aggregation the group membersâ preferences. Nowadays, there is a trend of decentralized group recommendation process th ...

Progress in mobile wireless technology has resulted in the increased use of mobile devices to store and manage users' personal schedules. Users also access popular context-based services, typically provided by third-party providers, by using these devices ...

Blending Digital and Face-to-Face Interaction Using a Co -Located Social MediaApp in Class

Chattez avec Graph Search

Context-Dependent Privacy-Aware Photo Sharing based on Machine Learning

g-Social: Enhancing Integrated e-Science Tools with Social Networking Functionality

Dynamics of MOOC Discussion Forums

From recommender systems to spatio-temporal dynamics with network science

Multi-Graph Regularization For Efficient Delivery Of User Generated Content In Online Social Networks

Learning Explainable User Sentiment and Preferences for Information Filtering

When Whereabouts is No Longer Thereabouts : Location Privacy in Wireless Networks

Padoc: Enabling social networking in proximity

Modeling and Understanding Communities in Online Social Media using Probabilistic Methods

A Machine-Learning Based Approach to Privacy-Aware Information-Sharing in Mobile Social Networks

WaRR: A Tool for High-Fidelity Web Application Record and Replay

Examining the effects of social media in co-located classrooms: A case study based on SpeakUp

Secure JPEG Scrambling enabling Privacy in Photo Sharing

Signaling and Reciprocity : Robust Decentralized Information Flows in Social, Communication, and Computer Networks

Social Interface and Interaction Design for Group Recommender Systems

Privacy-Preserving Activity Scheduling on Mobile Devices