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The rapid development of social networks has woven themselves into people's daily life and become indispensable platforms with superior commercial and scientific values. Both companies and governments have discovered the potential effectiveness of employing social network users for information diffusion. Rather than only selecting a group of users who are interested in target topic, it is more beneficial...
Job mobility is common in modern society, especially in the industry of information and communication technology. Job mobility prediction is valuable both for employees and employers. For the sake of lacking appropriate and sufficient records of job mobility, the traditional methods meet a significant challenge in job mobility prediction. Fortunately, the emerging professional social network provides...
The research on the efforts of combining human and machine intelligence has a long history. With the development of mobile sensing and mobile Internet techniques, a new sensing paradigm called Mobile Crowd Sensing (MCS), which leverages the power of citizens for large-scale sensing has become popular in recent years. As an evolution of participatory sensing, MCS has two unique features: (1) it involves...
Nowadays, as social activities in the real world are getting more and more popular, it is important to understand the social interaction features and the social contexts of users (meetings, social gatherings, etc.) to support social activity organization. By leveraging the social context and activities of users, various services can be provided (e.g., recommendation of friends, activities, etc.)....
The popularity of smart phones and other intelligent devices has made it possible for us to organize social activities by means of opportunistic social networks. However, message dissemination performance in opportunistic social networks is highly dependent on the cooperation between different users. In this paper, we put forward the model of markets with intermediaries as an incentive mechanism....
Online social networks provide a promising content dissemination platform. The information diffusion in content centric online social networks has been involving more and more media types. This paper reports on a quantitative study exploring how cross media influence the content dissemination in Sina Weibo (a popular Twitter-like microblogging site in China). Implicit cross media related features...
While the detection of social subgroups (i.e., communities) has always been a fundamental task in social network analysis, few efforts has been made to characterize the detected community. Meanwhile, to effectively facilitate applications based on the community structure, it is very important to understand the features of each community. Thereby, a systematic community profiling mechanism is needed...
In modern life, people are involved in multiple online and offline social communities. Previous works on content sharing and information dissemination are single-community oriented. The complementary features as well as the joint-effect of distinct forms of social communities, however, has not been well explored. In this paper, we present hybrid social networking (HSN), which highlights the interweaving...
With the development of wireless communication, the popularity of smart phones, the increasing of social networking services, mobile social networking has become a hot research topic. The characteristics of mobile devices and requirements of services in social environments raise a challenge on building a platform for mobile social services. In this paper, we elaborate a flexible system architecture...
Human activities have been investigated and applied in various fields, such as context-aware computing, social network service, location-based service, etc. However, the human activities in the review process of academic conferences have seldom been analyzed. It is no doubt that review process plays an important role in deciding whether a paper could be accepted or not. In this paper, we present our...
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