By Sameep Mehta, L. V. Subramaniam (auth.), Vasudha Bhatnagar, Srinath Srinivasa (eds.)

This booklet constitutes the completely refereed convention lawsuits of the second one foreign convention on tremendous facts Analytics, BDA 2013, held in Mysore, India, in December 2013. The thirteen revised complete papers have been conscientiously reviewed and chosen from forty nine submissions and canopy themes on mining social media info, views on monstrous facts research, graph research, gigantic facts in practice.

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Additional resources for Big Data Analytics: Second International Conference, BDA 2013, Mysore, India, December 16-18, 2013, Proceedings

Example text

With this definition of copy in place, the dual role of frequent users becomes evident. Owing to their frequent tweeting, they have a greater tendency to copy topics from their timeline and hence contribute actively to the spread of the topic. On the other hand, owing to their larger number of followers, they expose more users to the topic thereby encouraging them to copy the topic. Owing to their frequency, their tweets are likely to lie within the threshold of past tweets for their followers. If these tweets happen to be on the topic of interest, the probability of copying the topics goes up even more.

Anonymity poses bigger threats for law enforcement agencies in tracking the identity of these users. This paper is an effort towards addressing the problem of authorship attribution for an online social network Twitter. Twitter has surged popularity in recent years and now reports that it has over 500 million user base which share almost same number of messages (called tweets) per day [4]. This paper focuses on the problem of identification of the original author for a given tweet from a list of suspected authors for it using stylometric information.

PNAS 105(41), 15649–15653 (2008) 7. : Measuring User Influence in Twitter: The Million Follower Fallacy. In: Proceedings of the 4th International AAAI Conference on Weblogs and Social Media, ICWSM 2010 (2010) 8. : Outtweeting the Twitterers - predicting information cascades in microblogs. In: Proceedings of the 3rd Conference on Onsline Social Networks, WOSN 2010 (2010) 9. : Characterization of the Twitter @replies network: are user ties social or topical? In: Proceedings of the 2nd International Workshop on Search and Mining User-Generated Contents, SMUC 2010, pp.

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