Online Social Networks form an increasingly important part of people’s lives. As mobile technologies improve accessibility, concerns about privacy and trust are more apparent as advertising becomes a critical component of most social network’s economic model. In this paper we describe the PICOS project’s research into privacy preserving advertising options for social networks. We introduce an a...

Mobile social networking(MSN) has emerged as an effective platform for social network users to pervasively disseminate the contents such as news, tips, book information, music, video and so on. In content dissemination, mobile social network users receive content or information from their friends, acquaintances or neighbors, and selectively forward the content or information to others. The cont...

Data dissemination is a challenging issue in mobile social networks. It aims at increasing the overall delivery ratio and reducing the overall delivery delay. Most of the existing works assume all the users in a network are cooperative, i.e., the users are willing to carry the messages that they are not interested in while the nodes they meet maybe. In reality, the behaviors of each individual ...

Spatial dissemination allows a mobile user to send information to other mobile users who are or will appear at a user-defined region. It is typically done either via a centralized server or in a P2P fashion. In this paper, we design a new distributed spatial dissemination approach exploiting user groups in mobile social networks. Since users who are roughly in the same geographical location may...

In mobile social networks, forwarding is a challenging problem since there may be no end-to-end paths. Existing schemes using overlays are not applicable to pure mobile social networks since they use environments different from the mobile social networks. To resolve this problem, we propose a novel forwarding scheme that considers the common neighbor similarity and contact probability. In the p...

The topic of community detection in social networks has attracted a lot of attention in recent years. Existing methods always depict the relationship of two nodes using the snapshot of the network, but these snapshots cannot reveal the real relationships, especially when the connection history among nodes is considered. The problem of detecting the stable community in mobile social networks has...

This paper critically reflects predictions that social and mobile media will revolutionize internal and external corporate processes and collaboration approaches by analyzing the current usage of social software and mobile media in various firm’s operational fields in German-speaking countries. It further aims at identifying some of factors that influence the implementation and application of s...

Mobile phone calling is one of the most widely used communication methods in modern society. The records of calls among mobile phone users provide us a valuable proxy for the understanding of human communication patterns embedded in social networks. Mobile phone users call each other forming a directed calling network. If only reciprocal calls are considered, we obtain an undirected mutual call...

A number of sensor applications in recent years collect data which can be directly associated with human interactions. Some examples of such applications include GPS applications on mobile devices, accelerometers, or location sensors designed to track human and vehicular traffic. Such data lends itself to a variety of rich applications in which one can use the sensor data in order to model the ...

Some types of social networking applications installed in the mobile devices require users to share own locations while using them. Adversaries glean users’ private information through shared locations via social networking application and public available geographic data. In this paper, we propose a user sensitive privacy-preserving location sharing system to avoid leaking. Users define sensit...