I haven’t seen much Twitter visualization tools being developed so it was nice to find VisibleTweets, a app that allows you to enter a keyword and then see tweets being surfed up in a stream. There are only three different animations and there doesn’t seem to be a way to pause the animation which isn’t a good thing because sometimes you do see some interesting tweets you want to reply. But still, its a fun tool especially if you put it on full-screen.

Twitter friends is an analytics tool which gives you more information on your Twitter social network. What kind of information? Who messages you the most, who you talk to the most, the average number of daily tweets and even your average tweet length. It also allows you to retrieve an archive of all your conversations with a specific user, just by entering his/her username against yours.

Twittersheep is a neat tool that allows you to create a tag cloud from the ‘bios’ of your Twitter followers. Why is this interesting? Because it gives you an instant snapshot of the type of people that you are following you. It’s handy because you don’t have the time to click through on every single profile to check the bio, an impossible task when you have a few hundred/thousand followers.

Do you cuss on Twitter? Do the people you follow do it? Some people don’t mind it but others are instantly offended if a word like ‘fuck’ shows up on their Twitter stream.

I had a lotta fun checking out Cursebird, a real-time feed of people swearing on Twitter. On top of streaming tweets with cuss words in them, it gives you a 7 day overview of the top swear words. ‘Fuck’ is currently no.1 with a 51.33% occurence, while ‘Shit’ and ‘Bitch’ follows with 35.15% and 8.46% respectively.

Twitter Venn takes two or three search terms and creates a Venn Diagram showing the rate of tweets containing the search terms in the various combinations. A tag cloud can also be shown for one of the regions.

This is one of the more interesting Twitter visualization tools I’ve seen so far. It tracks the usage of specific words in relation to each other, which quite honestly, is a terrific asset for linguists and people interested in social language. At the bottom of the diagram is a constantly moving stream of tweets which include the words you’ve highlighted and its quite an interesting way to pick up on random opinions featuring specific keyterms.

The public display of emotions has increased in the digital age. It’s all so accelerated nowadays. Words and individual expression come pouring out like water into the ears of anyone who is willing to hear, even when there is no intended audience. Twitter is like blogs on steroids when it comes to sharing of individual feelings on just every topic, no matter how trivial or important.