An approach to analyze meta-data of web content sharing and tracking

The web and social media is an important platform for information sharing. A large amount of content is shared on various web sources such as websites blogs and social media platforms. The content can be re-shared on various social media platforms overtime hence the content spreads on different locations. In the result it is hard to track the flow of content from the original source to all the possible re-shared locations. There are several cases where it is required to find the influencer who has participated most in content sharing. Some of these are; finding optimal ways to spread a specific type of content to large audience in less time to drive social changes by targeting highly responsive audience and to run social campaigns effectively.