• Measuring Propagation Dynamics of Ideas using Network Analysis

    Any discourse can be represented as a network. A narrative, then, is a path through this network. Depending on how the journey is made, the meaning changes. Measuring the dynamics of this movement through ideas can help us understand how they propagate, and how this dynamic structure of meaning unfolds in time.

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  • Using Efficient Search Methods for Content Structuring

    Designing efficient content structures that guide readers through in ways that are efficient, maintaining diversity and narrative of the original.

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  • Learning through Associations and Knowledge Graphs

    Learning often works through associations. In this article we demonstrate how one can enhance one’s knowledge through the use of network graphs, which provide a good overview and at the same time can reveal the limits and the frontiers that are to be explored.

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  • Text Network Visualization for Psychotherapy

    Mental disorders and various self-imposed psychological obstacles often arise because of the lack of choice. Gregory Bateson wrote about the double-bind origin of schizophrenic behavior where “crazy” reaction is simply a way of transcending a limiting situation, when the person sees no other choice. Various psychotherapeutic practices focus on expanding the range of possibilities for the patient, offering more choices than is currently available. Text network visualization can be a useful tool to aid this process. In this case study we are going to demonstrate how it works.

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  • 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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