For the second year in a row, I live Tweeted and Visualized the Internet Strategy Forum Summit at the Governor Hotel in Portland, OR.

My goal was to track Twitter volume, speaker quotes, and general buzz around the event of every attending Twitterer in the audience. I had to formalize the data and take samples during many parts of the day to get a solid visual.

Instead of digging through pages of Twitter data with the search term #ISF09, the method here allows the audience as well as speakers to see how their speech ranked in comparison others at the conference. This way, one can see exactly the topics that hit the audience the hardest.

I used a Java Applet called StreamGraphs to visually track the Internet Strategy Forum Summit. The app was built by Jeff Clark. You can follow him @JeffClark on Twitter.

Standardizing the Data

StreamGraphs has some limitations. It only shows the last 1,000 tweets and thus it must be queried in real-time, during an event, to get usable results. The first thing to do was to standardize the hashtag. Some Twitter users were Tweeting with @summit, #isfsummit09, or #isf09. For the best data to be presented, users had to Tweet using one hashtag. I did a Twitter search for everyone following @summit OR #isfsummit09 OR #isf09 OR the Governor Hotel and began following them. Then I @’d them, welcoming them to the Internet Strategy Forum Summit and added an #isf09 hashtag to the end of each Tweet. I watched for people questioning as to which hashtag to use and informed them that #isf09 was shorter and better.

By 10:47, I had regular data and was able to begin tracking the Internet Strategy Forum Summit. Katherine Durham’s Tweets were not able to be recorded into the graph, but Shelia Tolle and the speakers after her were picked up. This was due to a limitation of the StreamGraph Java Applet (StreamGraph only shows the last 1,000 Tweets). So alas, we missed Durham’s excellent words: “Flat is the new up“.

And the second sample was taken from 10:08 to 2:37. The second sample did a better job at gathering the overall sentiment and buzz of the conference. It is evident from the image that Jeremiah Owyang was the speaker that captured the audience’s attention the most.

What Was Shown:

The interesting part about visualizing data in this way is that it shows that there is an inherent difference between what a speaker says and what they audience values. The conversations bursts worked just like sine waves as audience began to engage with the material of each new speaker. As memorable quotes were released into the audience, a lot of tweeting and retweeting coverage occured, melding some of the terms into like-groups. The graph shows that people tweeted about the speaker during the middle of the speech as opposed to at the beginning or end of the speech.

The First Burst: Shelia Tolle

Vice President of Marketing, Intuit Small Business Group. TOPIC: Combining eCommerce and Community: It’s a New Normal…and, There’s
No Going Back

The three words most associated with Shelia’s speech were online, Twitter, and Social.

BenZee: Fastest growing group on Twitter and facebook is people over 40.

CommunityMGR: Fastest growing group on Social Networks (ie: Facebook) are over the age of 45! Social Equillibrium from young to older. #ISF09

CommunityMGR: Channels like Twitter allow companies to help customers WHERE THEY ARE. Personalize with indiv photos, NOT logos as avatars. #Intuit #ISF09

TMMPDX: Intuit helping customers where they are - Twitter. @intuit draws the ire from professional haters online - Sheila Tolle. #isf09 #isfsummit09

cyndibrigham: Help customers where they are. This is the work I focus on through online syndication. Go to where the people shop and research #isf09

tmmBosley: turn bullhorn around, be part of the community, live your higher purpose, create amazing, embrace chaos! #isf09 Sheila Tolle

The Second Burst: Lisa Welchman

Here we can see the major takeaways from @lwelchman’s speech on change.

Top tweets: “orgs need to handle change internally. All communications need to change, and people don’t want to grasp impact, says @tom_bennett and @tmmBosley.

@smdempsey: @CommunityMGR Game has changed, but the internet was just the impetus. Time to rethink the model; biz as usual is not sustainable.

@blocheads: Effecting change is hard. I’ve asked clients to agree to a “We promise to do whatever you say clause, but no takers yet.
@tmmBosley: What to do? Systematic change: Figure out guiding principles in your organization (like Intel has done right @bryanrhoads?

Key Point: Chief Content Officer

At 11:11, @lwelchman brought up the idea of the Chief Content Officer, or the Chief Web Officer.

rahelab: Time has come for a Chief Content Office, Chief Web Officer, ect as these areas have become critical to web ops.
close2open: “Why can’t there be a Chief Content officer?
tmmSabrina: Lisa from @welchman Start a management REVOLUTION! Chief Content Officer, Chief Web Officer, ect. Amen Sister!

But I was told later that it was not about hiring a Chief Content Officer, but about becoming one.

Retweets of this comment appeared again at 11:49.

10:40: We all have a ‘wierd background’ - I’m a philosophy major w/Phorics minor and did did vocal opera. what does that make me? a Web person.

Caseorganic: RT @jeffreybunch: @lwelchman inspiring the oppressed web masses at #isf09!

imeldak: The CIO should be responsible for driving content, web and technology revolutions in the C Suite

@lwelchman was an excellent speaker.

The Third Burst: Jeremiah Owyang

The audience took away major points from Jeremiah Owyang’s speech, including ideas related to the web, context, users, eras and years, pages, and community. The social theme resonated most with the audience, as well as being a major theme of the conference.

The idea of eras was a new and interesting take on the standard ideas of business the and social web. One of the main takeaways concerned the fact that a company could actually have a 5 year media plan instead of a year to year thing. He outlined the social eras to come so that businesses might plan instead of being left behind.

Era

CommunityMGR: 5 eras of social web: Relationships, Functionality, Colonization, Context & Commerce.

Web

Webtom_bennett: Allow users to surf the web within your experience (put your wrapper on it).

msdouglass: Social web colonization is coming to your business. Will you be France? Belgium? Ivory Coast? USA? Offline lessons abound.

Context

jdenizac: People will surf in social contexts, even if your site is not social. eg, digg bar.

tom_bennett: Social Context - contextualized experience based on universal IDs is coming.

Page

agray: Registration pages are going away - the way you collect leads online with change.
@thisKat: @agray More details! Live Tweet this! So many marketers are slaves to the registration page.
NathanJWagner: Registration pages will change…lead gen and CRM reporting will change…SM sites will get more traffic than corp sites.
Caseorganic: Registration Pages Going Away. May be able to measure by # of fans, engagement you have instead of signups.

Community

Tom_bennett: Agencies will appear that represent communities, not brands.
tom_bennett: Functionality - shatter your corporate website and let it spread within the community.
CommunityMGR: Social Networks will become next generation CRM Systems. Ad agencies may flip to representing the Community.

User

caseorganic: Social networks becoming operating systems - can put apps on top like Scrabulous and interact with users where they are.
Rahelab: Social functionality: more like operating systems. Apps on top of platforms-Facebook, LinkedIn apps. “Go where users are.” Not mature yet.
BenZee: On the web: technologies evolve, users adopt then companies adapt.

Johan’s speech about Intel Corp’s Keynote spurred a lot of Tweets about Intel, and thus the Intel name is associated with it. Most of the Tweeting was done towards the first of part of Johan’s speech, as well as the discusion of a very nice Intel ad about the co-founder of the USB. Towards the end of the speech, and the subsequent panel, the electronics in the room ran out of batteries, making it impossible to cover the event via Twitter. I was told that iPhones and Blackberries were also running out of power. Although some battery life may have been restored during lunch, the life quickly ran out. I saw many audience members turn towards pen and paper to take notes for the rest of the conference.

Conclusion:

There are many graphs like this available online. Most are made by students at colleges, and a lot have to do with graphically displaying content volumes. I found this analytics visualizer to be exceptionally powerful because of its ability to track word volume over time.

The applications for this type of visual presentation of information are vast. During the ISF after party, I determined that these graphs would be an invaluable tool for examining PR statistics over time. If I sat down and pulled apart the code with someone, it would be fun to develop this graphing system into an extremely granular tool for online reputation management.

Data Dimensions:

My research depends on attending conferences because my current focus is on visualizing data with 4 main dimensions.

1. Time
2. Volume
3. Keyword
4. Event/Person

In this way, data becomes more like an audio file, and even closely resembles it. It is a friendlier way of viewing trends, and is more accurate (because of the added dimension of volume) than

Tool Limitations:

Currently, the tool I am using is Java based. It does not yet allow the user to set periods of time, and does not have the server capabilities to store server data. It is a brilliant data analytics tool, and if it were to allow a greater amount of granularity (in terms of keywords), as well as time range, it would prove to be an invaluable tool for tracking Public Relations. Currently, it is possible to do this, it just takes a longer amount of time to do so.

I approached Jeff Clark, the tool’s developer, about collaborating with him to create a more robust version that would incorporate a larger time frame, clickable data formats (I have a paper prototype of all of this), and a zoom feature. He declined, so the tool will stay where it is. If he releases a new version, I will be the first to use it.

There are so many great potentialities with a tool like this, because being able to visualize data over time with an extra dimension of volume is really exciting. Please let me know if you’d like to work on an open source version of it with me.

Now What?

Systems are optimal when the amount of time and space it takes to get pieces of relevant data from one person to another continues to decrease. Those designs/processes that exemplify this paradigm will be successful in the future economy. Systems like these that track the most important data points will be an important part of your complete data breakfast.

About:

Amber Case is a cyborg anthropologist, internet marketer, and speaker from Portland, Oregon. You can contact her at caseorganic at gmail.com, or on Twitter at @caseorganic.

Many thanks to Steve Gehlen for running the Internet Strategy Forum Summit and inviting me back to the conference to visualize the data streams.