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The popularity of blogs (as part of online social networking services) has grown dramatically in the last decade. Guided by ethnographic research of these online communities, we have designed a graphical interface for users' exploration and navigation of large scale blog network. In our design, we use the keyword
With the rapid rise in the number of weblogs, or blogs, on the World Wide Web (WWW), there is a growing need to be able to quickly search for discussion on specific topics. While keyword searches using tools such as Google or Technorati can yield useful results, we run into the problem of having to enter
using keywords graph to contribute special techniques for exploring those groups and the relationships among them. Interactions between users and the created keywords graph are also provided. Compared to other applications on blog visualization, our approach utilized the ontology knowledge to analysis and automatically
for discussion analysis. It is based on message-based graphs where each vertex represents a message object and each edge points out which message the specific node replies to. The edges can be weighted by the keywords that characterize the exchanged messages. This model allows a content-oriented representation of the
Set the date range to filter the displayed results. You can set a starting date, ending date or both. You can enter the dates manually or choose them from the calendar.