Social Network Analysis of Twitter Tweets

Twitter is an online broadcast medium where the people use it for blogs and some another purpose. It is that platform in which active user growing rapidly. Every month, 328 million people are added on this platform. Influencer post some short massages called the tweet. People post their tweet regarding any topic or for chitchat purpose. The huge amount of data is collected by twitter influencer regarding the different aspect of human life. The goal of this research is to understand the tweets posted in one year with time interval. Then the analysis is performed for the tweets of twitter and also which tweet belongs to which category. The analysis of this data allows achieving some meaningful conclusion about the behavior of twitter influencers. Twitter is that platform in which we can share our thoughts, ideas, text, video, like, dislike, trust, distrust, positive or negative points of views to each other. These interactions help to connect with the real-world scenarios. Twitter is widely used platform in know days. The dataset used has been based on the detection of tweets and steady the users core based on the various tweets recommendations activities. In this paper we work on (i)Sharing the Twitter dataset and measurements. (ii)Earning by the tweets (iii)Time dependency etc.