  In today's content-centric Internet, blogs are becoming increasingly popular
and important from a data analysis perspective. According to Wikipedia, there
were over 156 million public blogs on the Internet as of February 2011. Blogs
are a reflection of our contemporary society. The contents of different blog
posts are important from social, psychological, economical and political
perspectives. Discovery of important topics in the blogosphere is an area which
still needs much exploring. We try to come up with a procedure using
probabilistic topic modeling and network centrality measures which identifies
the central topics in a blog corpus.
