• Hariharan V
• S.Kavitha Bharathi

Micro blogging, a well-liked social media service platform, has become a brand new data channel for users to receive and exchange the foremost up-to-date data on current events. Consequently, it's an important platform for detective work new rising events and for distinctive potent spreaders World Health Organization have the potential to actively publicize data concerning events through micro blogs. However, ancient event notification models need human intervention to detect the quantity of topics to be explored, that considerably reduces the potency and accuracy of event detection. In addition, most existing strategies focus solely on event detection and are unable to spot either potent spreaders or key event-related posts, therefore creating it difficult to trace important events in a timely manner. To address these issues, we tend to propose a Hypertext-Induced Topic Search (HITS) based mostly Topic-Decision technique (TD-HITS), and a Latent Dirichlet Allocation (LDA) based mostly Three-Step model (TS-LDA).TDHITS can automatically detect the number of topics as well as identify associated key posts in a large number of posts. TS-LDA will establish potent spreaders of hot event topics supported each post and user data. The experimental results, employing a Twitter dataset, demonstrate the effectiveness of our projected strategies for each detective work events and distinctive potent spreaders.

"Effective Event Detection and identification of influential spreaders in social media", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.6, Issue 4, page no.583-588, April-2019, Available :http://www.jetir.org/papers/JETIR1904182.pdf

"Effective Event Detection and identification of influential spreaders in social media", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.6, Issue 4, page no. pp583-588, April-2019, Available at : http://www.jetir.org/papers/JETIR1904182.pdf