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  • 27/06/2013 / Using the Framework of Networks to Enhance Learning and Social Interactions

    This session was presented at ComplexNetworks Laboratoire d’Informatique de Paris VI University. We focused on demonstrating the benefits of merging scientific research, social experiments and artistic practice in order to let ideas across the different fields mix and stimulate new social behaviors and produce interesting research questions to explore. In this talk we outlined the general approach and research questions currently relevant to us at Nodus Labs and presented the research, case studies, and tools that were created as a result of this approach at our organization.

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  • Group Profiling Using Text Network Analysis

    Any group of people working together has a field of interests, which can be represented as a network of interrelated concepts. Mark might be interested in studying trends and fashion, while Joanne might be into fashion and arts. Identifying those interests and their relation to one another can be very useful for improving the collaboration, indicating the vantage points as well as the structural gaps within the group.

    Text network analysis can be used for such quick group profiling. The members of the group can write a short text (or be interviewed) outlining their interests. Alternatively, publicly available texts can be used to gather the data. Next, graph visualization of this aggregated text can help identify the most prominent topics and their relations within that text corpus.

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  • Army Swarming Techniques

    This video from South Korea shows the intricate swarm choreography of the riot police units. Notice the similarities with insect swarms and the way the whole structure operates according to the global task (move back the crowd) through local self-organized clusters.

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  • Embodying Social Networks Workshop

    Networks are everywhere and yet it’s still a very abstract concept. Together with our colleagues from Transnomia Institute we put together a special workshop that offers a very tangible experience of networks to the participants. As a result, they get intuitive and embodied knowledge of various network structures and learn to extend their social skills beyond the common patterns and codes of behavior.

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  • Learning to Prioritize from Brain Networks

    A newly published research in the Vol 16, Issue 4 of Trends in Cognitive Sciences Journal titled “An oscillatory mechanism for prioritizing salient unattended stimuli” proposes an interesting mechanism of prioritizing important impulses employed in the human brain. It does not only offer a fresh point of view on how important synchronized brain-wave activity is for performing complex cognitive tasks, but also can show us the possible organizational structures that could be used to better detect a change in environment and provide fast responses to it.

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