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      Data Network Simulator with Classical Ballet

      1 , 2 , 3 , 3
      Electronic Visualisation and the Arts (EVA)
      Electronic Visualisation and the Arts
      12 - 14 July 2016
      Networks, Nodes, Data Transmission, Message Propagation, Ballet, Simulation


            [data]storm, from readysaltedcode CIC, a data driven dance performance. The development of a social network simulator to demonstrate network growth and message propagation. The underpinning theory of piece stems from social network theory (SNT), graph theory, computer mediated communication (CMC) through to social information processing (SIP) and Computational Thinking (CT). The data visualisation is linked to the physical ballet movements of the dancers, they are a manifestation of the data. The data visualisations on screen link to the live dancers’ performance patterns and modify to create the visuals and movements of data transmission across a network. Network growth. The first of the simulations shows network growth. Each node in the network represents a user who has the following characteristics: • friendliness (how often they are likely to make friends with another user) • chattiness (how often they send out messages) • category (the subject area in which they are most interested) At random time intervals things occur: New users are added to the network depending on the above characteristics, users become friends with each other. All the rules stay the same throughout the simulation. At the same time the dance (ballet) movements and wearables (LEDS) were choreographed/coded to accompany the data visualisation using network mapping techniques. The choreography and wearables elements link to the friendliness and chattiness of each of the nodes in the simulated network. This network simulation is further utilised in the Virus section of the performance using the same rules to simulate how a virus can spread through a network. Further work on this simulation will look at two things 1. Message propagation and viral messaging within a social network like Twitter. 2. Pain signals within the body and how they compare to data transfer within a social network.


            Author and article information

            July 2016
            July 2016
            : 70-75
            [1 ] ReadySaltedCode CIC

            1,3 Knoyle Road

            Brighton, UK
            [2 ] Animated Data Ltd

            The Skiff

            Brighton, UK
            [3 ] University of Worcester

            Henwick Grove

            Worcester WR2 6AJ, UK
            Copyright @ 2016

            This work is licensed under a Creative Commons Attribution 4.0 Unported License. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/

            Electronic Visualisation and the Arts
            London, UK
            12 - 14 July 2016
            Electronic Workshops in Computing (eWiC)
            Electronic Visualisation and the Arts

            1477-9358 BCS Learning & Development

            Self URI (article page): https://www.scienceopen.com/hosted-document?doi=10.14236/ewic/EVA2016.13
            Self URI (journal page): https://ewic.bcs.org/
            Electronic Workshops in Computing

            Applied computer science,Computer science,Security & Cryptology,Graphics & Multimedia design,General computer science,Human-computer-interaction
            Networks,Nodes,Data Transmission,Message Propagation,Ballet,Simulation


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