This project involves indexing websites that are viral. The goal of the project is to find the less popular sites that tend to get viral, thereby helping businesses to cash in on the transient popularity of the site. This will help the business to reach the same audience for a much cheaper price. The first phase of the project involves crawling social networking sites like twitter to find the links that are shared and extract the info related to the shared links. The next phase involves processing this extracted information to find the virality of each shared link followed by feeding these links to another crawler which extracts the webpage content. The meta data and the content is analysed and the links are clustered based on the category of the website. © Research India Publications.
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E. V. Aiyer, Balmuri, S., Karunakaran, R., Subramanian, S., and Vanjigounder, K., “Ranking viral websites for effective digital marketing”, International Journal of Applied Engineering Research, vol. 10, pp. 23391-23397, 2015.