Randy Krum infographic designerRandy Krum

President of InfoNewt.
Data Visualization, Infographic Design, Visual Thinking, Product Development and Marketing professional fascinated by good infographics.  Always looking for better ways to get the point across.

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Caffeine Poster

The Caffeine Poster infographic

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Entries in twitter (40)


6 Twitter Topic Visualizations for "Caffeine Poster"

The Caffeine Poster got a huge amount of traffic, specifically on Twitter, so I thought this would be a good chance to share a collection of the available, interactive twitter visualizations.  Although there are many visuals that show a Twitter user’s network of connections, these are visualizations that show conversations based on the search topic “caffeine poster” on Twitter.

SocialCollider.net, by Karsten Schmidt and Sascha Pohflepp, maps the connections within a conversation starting with a Twitter stream or search topic.

This experiment explores these possibilities by starting with messages on the microblogging-platform Twitter. One can search for usernames or topics, which are tracked through time and visualized much like the way a particle collider draws pictures of subatomic matter. Posts that didn’t resonate with anyone just connect to the next item in the stream. The ones that did, however, spin off and horizontally link to users or topics who relate to them, either directly or in terms of their content.


The Twitter Streamgraph from Jeff Clark at Neoformix.

The StreamGraph shows the usage over time for the words most highly associated with the search word. One of these series together with a time period are in a selected state and coloured red. The tweets that contain this word in the given time period are shown below the graph. You can click on another word series or time period to see different matches. In the match list you click on any word to create a different graph with tweets containing that word. You can also click on the user or comment icons and any URL to see the appropriate content in another window. If you see a large spike in one time period that hides the detail in all the other periods it will be useful to click in the area to the left of the y-axis in order to change the vertical scale.


Cloud.li, by Elbert F, creates a word cloud based on your search terms.




Trendistic will plot the tweet volume on a timeline based on your search terms.  You can click anywhere on the timeline to see the specific tweets for that time too.

Trendistic is a tool that allows you to track trends on Twitter, similarly to what Google Trends does for Google searches. It gathers tweets as they are posted, filters redundant ones and compiles the rest into one-hour intervals.

This way, it shows how the frequency of one, two, three and four-word phrases fluctuate over time. The result is a visualization of what is popular and what is not among Twitter users, and how certain events are reflected or even predicted by themicroblogosphere.

You can enter a phrase (topic) in the 
Trendistic search box to see how its frequency varies over time, or several different topics separated by commas to see how they relate (each topic will show in the chart with a specific color): try comparing ‘dinner’ and ‘breakfast’ or ‘morning’ and ‘night’ for instance, to see how powerful it can be. 



TwitterFall shows you the tweets based on your search term, and presents them as an animated waterfall.

Twitterfall is a way of viewing the latest ‘tweets’ of upcoming trends and custom searches on the micro-blogging site Twitter. Updates fall from the top of the page in near-realtime.

For popular trends, Twitter is queried from the Twitterfall server, and results arepushed to your browser, rather than your browser doing the queries, or your computerpolling our server repeatedly. This means using Twitterfall for popular trends is nicer on Twitter than other services.



 TwitRadar.com will map out a search term, a user or a hastag into a handful of different visuals.

Google Translated from Portuguese: The TwitRadar is a tool for monitoring Twitter. With TwitRadar you can track, monitor and share real-time, the subject you want. Just type the tag you want to track, the TwitRadar show, very simple and intuitive, all that is written about it on Twitter. And not to be confused with the volume of information tracked, the TwitRadar organizes the results according to the criteria that you want.


Bronson Wins Infographic Poster!









Congrats to Bronson Harrington (@Gnuboss on Twitter)!  Bronson won a free poster of his choice from Infojocks.com by retweeting about the infographic contest we announced in December.  By including the #BCSvisual hashtag, Bronson was then randomly selected to receive the free poster.

The contest wraps up next week, so look here for all of the entries and the winner.

Thanks to everyone for helping to spread the word!


Twitter Territory: A Different Twitter Map

Twitter Territory is a different kind of Twitter map made in collaboration between designer Mike Wirth and Shannon Sweetser from HubSpot.com.  Made using HubSpot’s data from Twitter Grader, the map shows how people in all 50 states compare to the national average grade of 66 (which is an D, isn’t it?).

I think this is a great use of HubSpot’s data, and the map is a great way to introduce people to the Twitter Grader for the first time.  As a social media marketing tool, now all Shannon has to do is sit back and hope people blog and Tweet about it.  Oh wait…I just did.

I also noticed that @MikeWirth (91) and @Shannon (98.1) both get A’s!  Great job!


Word Spectrums! The Online Infographic Battleground

On Chris Harrison's site, there are a number of graphics that he calls Word Spectrums.  More like a battleground, Chris is using the enormous amount of data from websites that has been made public by Google.  This is an advanced form of a word cloud that visualizes related words and their relative connections to the two topics.  (FYI, since this is based on raw Google data, foul language does appear in some of them).

Using Google's enormous bigram dataset, I produced a series of visualizations that explore word associations. Each visualization pits two primary terms against each other. Then, the use frequency of words that follow these two terms are analyzed. For example, "war memorial" occurs 531,205 times, while "peace memorial" occurs only 25,699. A position for each word is generated by looking at the ratio of the two frequencies. If they are equal, the word is placed in the middle of the scale. However, if there is a imbalance in the uses, the word is drawn towards the more frequently related term. This process is repeated for thousands of other word combinations, creating a spectrum of word associations. Font size is based on a inverse power function (uniquely set for each visualization, so you can't compare across pieces). Vertical positioning is random.

Chris has created and shared a number of different versions on the Word Spectrum page of his website, and you can see high-resolutions PDFs of each there.

Want to try your own?  Building on Chris' idea, Jeff Clark from Neoformix has created interactive Word Spectrums using either Twitter or News as the source that lets you enter your own terms to compete.  I especially like the idea of pitting two competing brands against one another.


Twitter List: Cool Infographics People

Introducing, the Cool Infographics People Twitter list! 

Last week, I got a nice surprise from Twitter.  My home page featured a new, sizable banner that announced the “beta” release of lists.  I'm lucky I went to the Twitter home page, because I usually use TweetDeck for Twitter and I wouldn't have seen it.

I started with everyone from my recent post "37 People You Should Follow for Infographics on Twitter" including all of the people that had been suggested after that post came out.  I added a bunch from the datavisualization.ch post "30 More People You Should Follow for Info Graphics on Twitter" by Ben.  Finally I found a handful of more infographics people just by using the new lists function to see who else is on other lists.

I knew lists were coming out in waves, slowly letting more and more people get access to the new feature, so I was on the lookout.  I think it's been rolled out to most Twitter users, but your account needs to be enabled with lists before you can see the lists from other people.  Once your account has been enabled, you will see a new statistic "Listed" on your Home page.

This shows you how many lists that other people have created that you've been included in.  Once you start following or creating lists, a new Lists section is added to your sidebar.  Here you can see the lists that you follow or manage yourself.

Please follow the Cool Infographics People list if you use Twitter, and obvously I will continue to add more infographic people to the list as I find them.  Also, please make any suggestions you think I am missing.


37 People You Should Follow for Infographics on Twitter

[The Visual Guide to Twitter is from Applicant.com]

If you don't already follow me on Twitter, I'm rtkrum.  I post links to all of the Cool Infographics posts, and hold a few side conversations with people there.  I don't know how some people keep track of following thousands of people, but TweetDeck has become an indispensable tool for me.  The main reason is that I can create groups among the people I follow and of course I keep an infographic group.

Instead of featuring an infographic today, I thought I would embrace the Twitter tradition of Follow Friday and share the list of people and companies I follow related to infographics.  So here is my list of who to follow for infographics on Twitter (in alphabetical order):


I know I have to be missing some, so that's the selfish part of this request.  Who else do you follow?


The Story (so far) of Twitter


Graphic designed for Manolith.com, by infoshot.  It’s a reverse timeline of Twitter.

Twitter, Twitter, Twitter. Seems every where you turn these days that little blue bird is staring you right in the face. But how did it all start? Where is it all going? Who’s to say really, except you I suppose, in 140 character bursts. In the meantime let’s take a look back on some milestones of microblogging.  Please do enjoy, The Story (so far) of Twitter. Start at the bottom and work your way up on this one.



Of course, I found this on Twitter!


SXSW Twitter Visualizer from Pepsi

The 2009 SXSW PepsiCo Zeitgeist Twitter Visualizer (long name isn't it?) was a great experiment during the 5-day South By Southwest symposium/conference/party in Austin, TX.  Developed by Slash7, the site contains a number of dufferent visualizations using the Twitter APIs.

These real-time visualizations were able to capture only Tweets about the event using the hash-tag #SXSW and highlight the popular topics and show where people were Twittering on a map.  PepsiCo has a bigger site with some additional content at http://pepsico.com/sxsw

Found on Information Aesthetics and of course, Twitter.


Map of Online Communities

Greetings from the Blogipeligo!

A fun infographic from xkcd.com that uses a map image to communicate the relative sizes of the different types of online communities.  I was impressed that I at least recognized most of them, and actually participate in some of them.



I just found TweetWheel, and its really cool. Made by Augusto Becciu.

Enter a Twitter ID (I used my ID: rtkrum), and in real time it will generate a connection wheel built from 100 people that person is following. Hover the mouse over any of the names, and it will show the connections that that person is also following on Twitter.

It takes a few minutes to load the user data.

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