Simple Blog Searching framework based on social network analysis

Blogs are very popular Internet communication tools. The process of knowledge sharing is a very important activity in the contemporary information era. Blogs are used for knowledge sharing on any subject all over the world. Knowledge gathered on blogs can be used in personal e-learning, which is a more informal and personal way of learning than the one offered by traditional e-learning courses. However, it is not easy to find valuable knowledge in the huge amount of invalid information. In this study the Simple Blog Searching framework is proposed to improve the blog searching process. The social network analysis methods of centrality measuring help to choose more easily the best results form the long list of hits, received from a blog search tool. To incorporate social network analysis methods, the blog searching have to be expanded with the blog links searching.