Visualization of Blog Network by a Keyword Based Graph with Interactive Filtering

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 based graph to help users for exploring the relationships in the large connected graph. Each node in the graph contains a keyword which appears in one or more web pages (URLs). Each edge represents a link between two keywords. We give a weight to each edge which shows how strong the relationship is. Most importantly, we apply the interactive filtering on the keyword based graph using the generated edge weight to support both search and graph displaying. Compared to other applications on blog visualization, our approach uses the keyword based graph and has edge weight based interactive filtering.