Continued on from Part 2, I'm representing similar data in a different (less exciting) way. Before, we looked at how the activity on the twitter streams was spread out over the day and by different types of interaction. Here, I'm using charts to show the breakdown for the day, by user. I've also created charts for ...
All articles in category: "Social Networking,Twitter,Visualization"
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Part 3: Who’s Talking About The Future Of Newspapers?
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Part 2: Who’s Talking About the Future of Newspapers?
After breaking down the overall types of tweets from people, next step was to create scatter plots of their activity. Unfortunately, Excel will only plot 250 data points - how unreasonable! Luckily I love breaking Excel and coding something that will do what I want it to do and look prettier, so voila. Color scheme: Is directed at ...
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Who’s Talking About the Future of Newspapers?
My friend Caitlin is using Twitter to investigate the discourse around the future of newspapers. She has collected a bunch of data in a spreadsheet, and I get to visualize it - yay! First up, extracting some general stats. I used the Apache POI to get the enormous speadsheet into Java (normally I would use Python ...
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Twitter: Influence and Engagement
Introduce myself: my name is Cate and I'm a second year Masters student in Computer Science. There's all these different parts of Computer Science, but how I like to describe myself is that I try to create things that answer the questions that people haven't thought to ask. What does that mean? Well, you could ...
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Visualizing Engagement on Twitter
Next Thursday, I'm giving a talk on my research to people from the communications department. Outline below. When we talk about how we quantify success in social media (and Twitter), we need to consider how we're defining engagement. Does someone following us mean that they are engaged with our content? Maybe - but maybe not. We ...
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Science Teacher Talk: Information -> Meaning
Initial draft of a talk I'm supposed to be giving in February. Information -> Meaning Before the printing press, literacy rates were really low, and the average book was the bible. This was all people had by way of information. The printing press caused a revolution. 100 years later, humans had more information than they could hope to ...
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Fun With Prefuse
Couple of things I found using Prefuse that I'll document here for reference (I had a hard time finding the answer to these). 1. NullPointerException thrown by GraphMLReader This means there's an issue in the XML, even if it's valid according to W3Schools (which mine was). Double check it, for me it was an issue where I ...
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Release Time!
Really excited to release the applets of my Twitter Conversation Networks, and also the Clique visualizations. Details here. I'm providing the option to get priority by making a loan on uOttawa WISE's Kiva lending team. Although much of it is automated, each one takes me a little time to make, plus there is the time I've spent coding ...
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Creating a Timeline of Your Online Activities
Cate H. on Dipity.
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Slides for Applied Clique Finding: Discovering More about your Twitter Network
Abstract can be found here. As ever, let me know what you think! Applied Cliqe Finding: Discovering More about your Twitter Network View more presentations from Cate Huston.
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