• Yenuga Padma
• Dr.Y.K.Sundara Krishna

In today’s world by using social media promoting or marketing a product or a service is very easy. In general the terms used for this are e-commerce and digital marketing. Most of the social media like twitter, face book and others had built data analytical tools to support the companies to know the progress, success and achievements of other advertising companies. Most of the users are using this online business or marketing to buy or sell the products /services. This is very easy and consumes very less time but the problem is while doing the business or marketing in social media sometimes users should submit their reviews, opinions and personal details, basing on this information sometimes hackers will theft these details and keep the spam messages or unnecessary posts. In this paper, we deal with the prevention of spam detection in social networks by using analytics of social media and bio inspired computing. It adopts the LFA integrated with modified K-means to detect the spams in social networks like twitter.

spam detection, twitter marketing, LFA, analytics of social media and bio computing.

"Investigation of Spam Detection Approach in Social Network Marketing With Levy Flight Firefly (LFA) Algorithm", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.6, Issue 3, page no.1-7, March-2019, Available :http://www.jetir.org/papers/JETIRAC06001.pdf

"Investigation of Spam Detection Approach in Social Network Marketing With Levy Flight Firefly (LFA) Algorithm", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.6, Issue 3, page no. pp1-7, March-2019, Available at : http://www.jetir.org/papers/JETIRAC06001.pdf