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Being the anchor points for building social relationships in the cyberspace, online social networks (OSNs) play an integral part of modern peoples life. Since different OSNs are designed to address specific social needs, people take part in multiple OSNs to cover different facets of their life. While the fragmented pieces of information about a user in each OSN may be of limited use, serious privacy...
In contrast to conventional studies of discovering hot spots, by analyzing geo-tagged images on Flickr, we introduce novel methods to discover obscure sightseeing spots that are less well-known while still worth visiting. To this end, we face two new challenges that the classical authority analysis based methods do not encounter: how to discover and rank spots on the basis of 1) popularity (obscurity...
As the Internet consists of a large number of nodes, measuring the whole Chinese Mainland is a time-consuming and demanding task. This paper addresses this issue by tactically choosing small-scale test sources and target IP address set and making a survey of Internet physical properties in central cities and second-tier cities. The research is focused on Internet diameter, degree distribution and...
Teachers of College English course are a special group who have access to a large amount of internal and external knowledge. On the basis of a knowledge management (KM) platform, the present study tries to apply the theory of KM to help construct the College English teaching team into a learning organization and improve their teaching and research capabilities.
In this paper, we propose a novel stakeholder mining mechanism for analyzing bias in news articles by comparing descriptions of stakeholders. Our mechanism is based on the presumption that interests often induce bias of news agencies. As we use the term, a ``stakeholder'' is a participant in an event described in a news article who should have some relationships with other participants in the article...
In recent years, the users' interests have been widely used to customize the webpages and predict users' requests. During users' interests extraction process, log files on the web servers or users' navigation history data have been used a lot. However, little attention has been paid to the network packets which may actually have much hidden information about users' preferences and profiles. Is the...
This paper combines the basic content of e-commerce and the advantages and trends of changes of enterprise in the e-commerce environment to research the innovative features and models for operations and organizational management of enterprise based on e-commerce environment, further analysis of enterprises' e-commerce activities from the global, strategic and forward-looking, this paper raises point...
Unlike the common method based on log files to analyze user's interests, the proposed approach to analyze group users' interests in audio/video programs is devoted to deal with data packets from network backbone environment. This method has applied the Key-Value strategy to extract information from the network packets. Meanwhile, the relevant mathematical model is presented to calculate the group...
Storage and utilization of Web data has become a big challenge to data management community. Though many commercial and academic tools emerge, the structure, content, and user behavior of Chinese Web is not fully studied. We are working on building a Chinese Web Infrastructure (CWI) for support of such research. In this paper, a graph data model used in CWI is introduced, after which the design of...
Protection of user privacy is an important issue of Web applications. Data encryption presents a possible resolution for improving the security level of Web applications. In this paper, we propose a novel mechanism using broadcast encryption and account assignment methods to reduce the decryption cost of Web applications. A notable feature of our mechanism is that the additional function of the application...
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