• Direct Visual Feedback on the Process of Ideation using Text Network Graphs Encourages a more Coherent Expression of Ideas

    Diagrams and visual maps used to represent information as a network of interconnected nodes are widely used to aid one’s understanding of data and produce novel interpretations of the already known facts. We studied the effect of text network graph representation on the processes of ideation and found that direct live visual feedback increases the subjective sense of consistency in one’s thoughts and increases connectivity between the ideas expressed.

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  • 8OS – Body/Mind Operating System

    Proposition for the new body/mind operating system based on wave-like oscillatory movement.

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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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  • 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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