• Putin’s 2014 Address to Federal Assembly Text Network Analysis

    Every year in December Vladimir Putin addresses the Russian Federal Assembly. His address is considered to be a good indicator of the current political mood in the country. Putin’s 2014 speech is especially interesting, because it concerns not only Russia but the whole world. We at Nodus Labs together with Way to Russai analyzed Vladimir Putin’s address made on the 4th of December 2014 using text network analysis and below we present a report on what we discovered. We also made a comparison of the 2014 speech to the 6 speeches before from the years 2008-2013 to see how presidential rhetorics evolved over time.

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  • Evernote and iPhone Notes as a Text Network Graph

    Text network analysis can be used to gain a good overview of your Evernote or iPhone notes and to increase the precision and speed of information retrieval.

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  • Twitter xRay Using Text Network Analysis

    Text network analysis can be a very useful tool to make sense of Twitter’s ever-expanding newsfeed. It can be used to visualize a user’s feed of tweets or visualize one’s own newsfeed as a network to be able to see what the tweets are about and how they connect. Text network analysis allows to see not only the main terms, but also how they connect, providing the context to the most relevant keywords found on Twitter.

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  • The Divination Network of Tarot

    Tarot is a deck of cards used since the 15th century to play various games as well as for divination purposes. We at Nodus Labs studied the structure of various Tarot decks, treating the cards as the nodes and relations between them as edges, building a graph of relations between the cards that are invariant across various Tarot decks. We discovered that the structure of the resulting graph has a very specific community structure, which makes Tarot a very efficient tool for telling narratives. We are currently working on practical implementations of this study.

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  • Bibliographic Synthesis using Text Network Analysis

    For this case study, we created a bibliographic synthesis map for 15 scientific articles using text network analysis tools.

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