These studies will analysis the big data of the twitter conversation in Indonesia. The data obtained from Twitter.com which gave many feature for analysis. The features like topic, trending topic, retweet, favourite, mention, mention, link, and also information that contain only 140 characters. The election of topic will classified from the trending topic data then categorizing through five kind of topic (Arkaitz Zubiaga, 2013). The trending topics can rapidly spread on the Twitter in immediately via hash tag. In every tweet that had tweeted by user have a content that make interest the follower to forward or retweet the tweet. Previous study analized for the user influence in Twitter via the million follower fallacy (Meeyoung Cha, 2010). Those analyses will compare the data between gossips, bad news, and good news. The expected result is the trending topic via hash tag on twitter can rapidly spread via retweet system and the interestingness of Twitter feature give impact towards the spread of the topic. The system of the spread will be seen from the constrain sub graph system. The results can used by any area to launch something on the Twitter in order to make the information can spread in rapidly and give easiness for everyone to search the information via hash tag.