#ARETEedu / @ARETEH2020 Tweetalytics

This analysis looks into the outreach of the project on twitter. It has the following limits: it only looks into those tweets that contained the tag “#ARETEedu” or the account name “@ARETEH2020”. This is a serious limitation, as there have been many more tweets about it using different tags or phrases (such as the keyword instead of the tag).

However, the more variation we would take into account, the more likely it is that we pick up noise, i.e. tweets that do not belong to the book. With the tag and in its current temporal context, we can be rather sure that these tweets are in fact about what we think.

By now (this is a live updating script), we have 563 users who tweeted 8418 tweets.

Looking into all tweets, these are the main keywords used. Twitter screen names were removed before analysis.

The following retweets can be identified:

Establishing this social network of retweeting (arrows go from retweeter to original tweeter):

And the same network, this time plotted with curved edges and the size of the node scaled by prestige. The darkness of the edge indicates the number of retweets: the darker, the more retweets between the two.

The most influential users (measured with the SNA indicator ‘prestige’) are:

##       areteule     areteh2020  adhdaugmented        suigoei      wowoworld 
##           1247            799            692            544            362 
##   elenimangina jc_james_clark     pbs_europe     oscar4rnau armstrong_inna 
##            167            142            113             95             92 
##   markj_ohnson   clever_books  edtech4future   anisa_anisa_    scientix_eu 
##             70             63             59             53             46 
##    dlearningeu      eunmattia scalarhumanity       bella623     crispino77 
##             39             39             36             36             32