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Our brain is wired to experiencing the world as one consistent model of reality. New data we interpret either as confirmation of the model or as an update to replace one of its parameters with a new value. Our sensory organs also reduces the incoming stimuli, drop most of the impressions, preprocess what is identified [...]
“So, what’s the mood of America?”
Interface, 1994
One of the most fascinating novels so far on data-driven politics is Neal Stephenson’s and J. Frederick George’s “Interface“, first published in 1994. Although written almost 20 years ago, many of the technologies discussed in this book, would still be [...]
The last hours, I’ve seen a lot of tweets mentioning this great new algorithm by MIT professor Devavrat Shah. The UK Wired, The Verge, Gigaom, The Atlantic Wire and Forbes all posted stories on this fantastic discovery. And this has only been the weekend. Starting next week, there will [...]
Memes – images, jokes, content snippets that get spread virally on the net – have been a popular topic in the Net’s pop culture for some time. A year ago, we started thinking about, how we could operationalise the Meme-concept and detect memetic content. Thus we started the Human Meme Project (the name an [...]
What I really love about Twitter is that everything they do seems to be data-based. They’re so data-driven, they even analyze the ingredients of their lunch to ensure everyone at the company is living a healthy lifestyle. So, the decision for Berlin as their German headquarter cannot be a random or value-based decision. [...]
The minute, the World Economic Forum at Davos said farewell to about 2,500 participants from almost 100 countries, our network analytical machines switched into production mode. Here’s the first result: a network map of the Twitter conversations related to the hashtags “#WEF” and “#Davos”. While there are only 2,500 participants, there are almost 36,000 unique [...]
While I was taking a look at the network dynamics and relations of the Twitter conversations at the DLD conference in Munich, Salesforce and Radian6 took a more “traditional” approach and segmented the conversations in terms of topics, users and countries. While a tag cloud is able to give a first impression on the [...]
Now, that the World Economic Forum at Davos has started, also the conversational buzz on Twitter is increasing. While yesterday news agencies and journalists dominated the buzz, this morning (data ranging from 10:15 to 11:40) clearly has been a Paulo Coelho moment. The following tweet has been the most frequently retweeted #WEF tweet:
If [...]
As promised, here’s the second part of the DLD conference network analysis. We left the conference Monday afternoon. The remaining day looked like this:
The conference account @DLDConference and Idealab founder @Bill_Gross still are the most important Twitter discussions nodes in terms of PageRank. But there are also some new names and [...]
The same thing that can be done for the DLD conference in Munich can of course be done for the WEF in Davos. This gives us a good opportunity to compare pre-conference and conference buzz of the two gatherings and compare actors, topics and network structures. Here’s a first glance at the Twitter conversation [...]
A rather traditional application of network analysis is taking a look at conference talk on social networks such as Twitter. Right now, Burda’s DLD conference in Munich is the best research object for this purpose – especially because Twitter’s CEO Jack Dorsey is one of the speakers. I began my tracking of conference on the [...]
- Beautiful Data - Musings on Big Data, Network Science and Information Visualization by Benedikt Koehler and Joerg Blumtritt
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