Difference between revisions of "Twitter Dataset For Influence"
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The following figure shows the distribution of the tweets. | The following figure shows the distribution of the tweets. | ||
| − | [[File: | + | [[File:Example1.png]] |
The figure shows that after a time period, the popularity of Twitter among the Singapore users increases substantially with time. | The figure shows that after a time period, the popularity of Twitter among the Singapore users increases substantially with time. | ||
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The following figure shows the distribution of tweets per twitter user. | The following figure shows the distribution of tweets per twitter user. | ||
| − | [[File: | + | [[File:Example2.png]] |
The following graphs depicts the relationship between number of friends and number of followers. | The following graphs depicts the relationship between number of friends and number of followers. | ||
| − | [[File: | + | [[File:Example3.png]] |
The graph shows that the x and y axis are highly correlated. | The graph shows that the x and y axis are highly correlated. | ||
Latest revision as of 09:23, 4 October 2012
This dataset consists of Singapore-based twitter users during the month of April 2009. The friends and followers network of top-1000 Singapore users is crawled along with their tweets. The dataset consists of number of tweets |T| = 1,021,039 and number of users |S| = 6748.
The following figure shows the distribution of the tweets.
The figure shows that after a time period, the popularity of Twitter among the Singapore users increases substantially with time.
The following figure shows the distribution of tweets per twitter user.
The following graphs depicts the relationship between number of friends and number of followers.
The graph shows that the x and y axis are highly correlated.
