An Analysis of the Overlap of Categories in a Network of Blogs
We live in a world where information flows very rapidly and people become aware of events on the other side of the world in a matter of seconds; this a consequence of the globalized, fully-connected world we live in. Information spreads via many different channels, but more recently we have witnessed the birth of the information-over-online-social-network phenomena. This means that more and more people get their news from online social networks such Facebook and microblogs such as Twitter. Yet, another source of information are weblogs (or blogs). Bloggers (people who write to blog or own a blog) are capable of influencing a lot of people and they even tend to be sources of information to mainstream news media. This paper delves into an issue relating to the ability of information to spread, but instead of tracking information itself, we look at the infrastructure that is in place linking blogs.We argue that the structure itself is an enabler or disabler of information spread depending on a categorization. This paper categorizes blogs and studies the level of overlap between these categories.
KeywordsOnline Social Network Giant Component Full Network Topic Cluster Natural Language Processing Technique
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