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A person is considered as an influential individual when his behaviors can trigger other people's reactions. Such phenomenon is called user influence in social networks. Measuring user influence provides insights into dynamics of social network interactions. This makes a fundamental step for constructing marketing strategy, recommendation systems and so on. There have been various studies focusing...
Social media has been an important way for people to get news. It is designed to make the sharing of messages very fast and easy. It also attracted the attention of a large number of researchers. There has been research concerning predicting what messages will be popular. But it lacks of in-depth study of what features play an important role in the prediction task. In the work, we systematically and...
Vehicular social networks require real-time communication and are highly dynamic due to vehicle movement. In this article, we present a novel architecture, called VeShare, to support highly dynamic and time-sensitive social behaviors in vehicle networks. VeShare clearly separates a vehicle network into control and data planes. The control plane is managed by the cellular infrastructure. It manages...
Many social systems can be described in terms of complex networks of interacting dynamic entities. The research on social system's dynamics, such as epidemic or rumor spreading, are often suffered from constraints of relatively small to medium scale networks, or dependence on the underlying network assumptions, resulting in limited capacity for dynamics prediction. This paper proposes SUPE-Net, an...
With the pervasive participation from the Chinese netizens in the cyberspace, the Human Flesh Search (HFS) is becoming a phenomenon profoundly affecting the public life in China. While hot debate and discussion arise, it is still not clear how the knowledge fragments are gathered by the netizens, and eventually merge to an answer in a HFS. This paper presents a first study to the knowledge aggregation...
The problem of evaluating node importance in complex networks has been an active area of research in recent years, and many algorithms and software tools were developed. Most of the current algorithms deal with single criterion ranking, such as degree of nodes. However, in some real world networks because of their large-scale nodes and complex relationship, it is crucial to incorporate multi-criteria...
Social network as a knowledge transfer mechanism is widely accepted. However, the process of the mechanism is vague. The goal of this study is to clearly expatiate on the functioning mechanism of social network during the process of knowledge transfer. We develop a model of social network which consists of the nodes and ties. The nodes in the knowledge social networks are persons, the ties are the...
With the development of on-line forum technology and the pervasive participation of the public, the Human Flesh Search is becoming an arising phenomenon which makes a great impact on our daily life. There arose big research interests in social, legal issues resulted from HFS, however, very little work has been conducted to understand how it comes into being and how it dynamically evolves. This paper...
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