document: Searching for events in the blogosphere Over the last few years , blogs ( web logs ) have gained massive popularity and have become one of the most influential web social media in our times . Every blog post in the Blogosphere has a well defined timestamp , which is not taken into account by search engines . By conducting research regarding this feature of the Blogosphere , we can attempt to discover bursty terms and correlations between them during a time interval . We apply Kleinberg 's automaton on extracted titles of blog posts to discover bursty terms , we introduce a novel representation of a term 's burstiness evolution called State Series and we employ a Euclidean-based distance metric to discover potential correlations between terms without taking into account their context . We evaluate the results trying to match them with real life events . Finally , we propose some ideas for further evaluation techniques and future research in the field .
doc_bio_tags: O O O O O O O O O O O O B O O O O O O O O O O O O O O O O O B I O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O O