• 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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  • InfraNodus – The Network Thinking App

    Introducing a new tool that makes you think in networks – InfraNodus from Nodus Labs. Great for research, keeping track of the things that interest you, and sharing your knowledge in a new and interconnected way.

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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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  • Text Network Analysis for SEO

    How text network analysis can be used for website SEO. We use an example of a travel guide website to find out what people are searching for in relation to travel, what they actually find, and how well the travel guide website studied responds to the needs of the users. We also explore the idea of content polysingularity ensuring that information offered within the website does not only fulfil the readers’ needs, but also helps them learn more and discover new perspectives about the topics they’re interested in.

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