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  • Textexture: The Non-Linear Reading Machine

    When we read a text, we normally follow it in quite a linear fashion: from left to right, from top to bottom. Even when we skim articles quickly online, the trajectory is still the same. However, this is not the most efficient method of reading: in the age of hypertext we tend to create our own narratives using the bits and pieces from different sources. This is an easy task with short Tweets or Facebook posts, but it becomes much more difficult when we’re dealing with newspaper articles, books, scientific papers. The amount of information we’re exposed to increases from day to day, so there’s a challenge of finding the new tools, which would enable us to deal with this overload.

    As a response to this challenge we at Nodus Labs developed a new free online software tool Textexture.Com, which visualizes any text as a network and enables the user to use this interactive visualization to read through the text in a non-linear fashion. Using the network one can see the most relevant topics inside the text organized as distinctively colored clusters of nodes, their relationship to one another, and the most influential words inside the text, responsible for topic shifts. This way the user can navigate right into the topic of the text that is the most relevant to them and use the bigger (more influential) nodes to shift into another subject.

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  • Polysingularity within Socio-Cognitive Networks

    Polysingularity is a practice of maintaining several dynamic singularities at once. Within social context this implies the existence of several communities, which are segregated enough to operate independently from one another, but are sufficiently integrated in order to be able to synchronize on the global level.  Together with specialists from Transnomia Institute we developed a social experiment that allows participants to experience polysingularity in a protected social setting. 

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  • What Makes a Network Robust?

    A very interesting paper by Kitano “Biological Robustness” (published in 2004 in Nature Genetics journal) offers a very insightful summary on what biological robustness is and how it emerges in networks. Kitano demonstrates how small-world architecture and the existence of an interconnected core control center both increase the robustness of a system.

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  • Network States and Variability of Behavior

    A very interesting paper by Fontanini & Katz (2008) published in Neurophysiology journal proposes a model that shows how similar sensory stimuli can elicit different responses in the same organism.

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  • Polysingularity

    Polysingularity is a condition where multiple solutions are possible and yet only some are actualized at any moment of time. It’s a study of how affordances (or environmental opportunities) come into contact with the human capacity to believe and make choices. Polysingularity is best described through the framework of networks where the node’s current state and future condition is dynamically determined by its specificity as well as the multiplicities it belongs to.

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