diddydave
msm09
Who was the most influential Twitterer at #msm09?
Size = proportional to the number of times they were referred to in a tweet in the context of #msm09. I made a record of the relationship between the Twitterer and who they @mentioned in their tweet.
Colour = their overall "influence" within the network (betweenness centrality). Betweenness is often used as a measure of influence in graph theory/social network analysis (en.wikipedia.org/wiki/Centrality). In simple terms, those with the highest betweenness centrality act as "hubs" within the network, i.e. they can control the flow of information within the network and act as a "broker" - a very powerful position.
Of course, this is just maths, and many other factors make up the influence landscape. Nevertheless, it's still interesting to apply social network analysis to the interaction of people at a conference discussing these very topics :)
Congratulations to @jangles (Neville Hobson) and @robwatts !
I'm @dbarrowcliff
msm09
Who was the most influential Twitterer at #msm09?
Size = proportional to the number of times they were referred to in a tweet in the context of #msm09. I made a record of the relationship between the Twitterer and who they @mentioned in their tweet.
Colour = their overall "influence" within the network (betweenness centrality). Betweenness is often used as a measure of influence in graph theory/social network analysis (en.wikipedia.org/wiki/Centrality). In simple terms, those with the highest betweenness centrality act as "hubs" within the network, i.e. they can control the flow of information within the network and act as a "broker" - a very powerful position.
Of course, this is just maths, and many other factors make up the influence landscape. Nevertheless, it's still interesting to apply social network analysis to the interaction of people at a conference discussing these very topics :)
Congratulations to @jangles (Neville Hobson) and @robwatts !
I'm @dbarrowcliff