An interactive map where you can click on all kinds of dots is of course fun to look at, but what does this visualization actually teach us? The more often an account is retweeted by Frankwatching authors, the more central the account is in the network. Not entirely surprisingly, the Twitter account of @Frankwatching is the most retweeted.
More interesting are the dots around it. To a lesser extent, the Frankwatching authors also retweet portugal phone number library articles from Marketingfacts and Dutch Cowboys . These are other accounts that are often retweeted by Frankwatching authors and apparently relevant messages for them appear on these accounts.
Gephi
The Gephi tool uses an algorithm
A to determine the position of an account on the map. In general, this means that accounts that often retweet each other or are retweeted by the same type of accounts will be positioned closer to each other in the visualization.
Only bloggers who have retweeted each other and have been retweeted more often by at least five bloggers have a visible connection in the visualization. As a result, some accounts have no connections with other accounts, since there are only retweets from people who are Frankwatching authors.
To colour
In this analysis we have separated people (red), media (purple) and companies (green) by colors. This makes it easier to filter important media, bloggers and companies.
Why is such a network visualization interesting?
Now that you know how the visualization came about, the question remains: australia database directory why is this interesting? Here are a few reasons. What does this
1. Cut the crap
If you look at which accounts retweet you the most on a quantitative basis, ecommerce marketing: 33 tips to skyrocket sales there is a good chance that you will come across a large number of so-called Twitterbots. These are accounts that automatically send tweets. Nice if you are looking for a high number of retweets, but often these are rarely read. It is more interesting not to look at all tweets, but to zoom in on a group of stakeholders. In this example, the group of authors of Frankwatching. Companies often use politicians, media, customers or non-customers for such research. This allows you to further explore social media and zoom in much more on qualitative tweets.