Exploiting user interest similarity and social links for micro-blog forwarding in mobile opportunistic networks

Exploiting user interest similarity and social links for micro-blog forwarding in mobile opportunistic networks

Micro-blogging services have recently been experiencing increasing success among Web users. Different to traditional online social applications, micro-blogs are lightweight, require small cognitive effort and help share real-time information about personal activities and interests. In this article we explore scalable pushing protocols that are particularly suited to the delivery of this type of...

Social-Similarity-based Multicast Framework in Opportunistic Mobile Social Networks

With the proliferation of mobile devices, Opportunistic Mobile Social Networks (OMSNs) where the communication takes place on-the-fly by the opportunistic contacts among mobile users when they gather together at events have become increasingly popular. Multicast is an important routing service which supports the dissemination of messages to a group of users. Some existing multicast algorithms a...

Mobile-relay Forwarding in Opportunistic Networks

Modelling Social-Aware Forwarding in Opportunistic Networks

Opportunistic networks are one of the most promising evolutions of the traditional Mobile Ad Hoc Networks paradigm. Communications in an opportunistic network rely on the mobility of the users: each message is handed over from node to node, making hop-by-hop decisions to select the node that is better suited for bringing the message closer to its destination. Algorithms exploiting social-awaren...

Similarity measurement for describe user images in social media

Online social networks like Instagram are places for communication. Also, these media produce rich metadata which are useful for further analysis in many fields including health and cognitive science. Many researchers are using these metadata like hashtags, images, etc. to detect patterns of user activities. However, there are several serious ambiguities like how much reliable are these informa...