Node Tracking on Dynamic Social MediaUsing Greedy Method

Abstract

In today’s society, the use of social media has become an important daily activity. Social media is typically used for social interactions, access to news and information, decision making. We all know that how fast can things go viral on social media. Despite of checking that information that we are sharing is actually correct or not we just forward it, and hence it may cause problem in future like scuffle, violence in the society. To avoid this, we are introducing a system to find out the most influential node using greedy method i.e., Personwho has shared that post for the 1st time. We are facing one more serious problem in social media that, there are some attractive posts which actually have malicious content at its backend. On visiting that page, we get to know that it is an advertisement that can harm our files. In this system we are analyzing ratings to the post and categorize it into positive or negative. By analyzing the ratings, we can find out the malicious content and block them.