Mozdeh

Big Data Text Analysis

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Networks of who tweeted whom

Please use Webometric Analyst instead for following/follower networks.

Two types of networks can be created from the downloaded tweets.
1) Tweet network. This network illustrates which users tweet each other and how often. If @user1 tweets mentioning @user2 then this creates an arrow from @user1 to @user2. If there are multiple tweets from @user1 mentioning @user2 then the width of the arrow is proportional to the number of tweets.
For example if @user1 - @user4 are in data set and there are two tweets from @user1:

Then there would be two arrows, one from @user1 to @user2 and a double thickness arrow from @user1 to @user3 but no arrow connecting @user4

2) Co-tweeted network. This network illustrates which users tweeted to within the same tweet and how often. If any tweet mentions both @user1 and @user2 then this creates a line between @user1 to @user2. If there are multiple tweets from @user1 mentioning both @user1 and @user2 then the width of the line is proportional to the number of these tweets.
For example if @user1 - @user4 are in data set and there are three tweets:

Then there would be two lines, one between @user2 and @user3 and one between @user3 and @user4.

Both types of networks can be created by clicking on the Network menu in Mozdeh and selecting the Create networks of user connections in tweets for the Top N users: a) tweeter-@tweetee and b) @tweetee1-@tweetee2 networks submenu item.

Here is an explanation of the questions that are asked after clicking this button.

 

Made by the Statistical Cybermetrics Research Group at the University of Wolverhampton during the CREEN and CyberEmotions EU projects.