20 research outputs found

    Modeling Epidemic Spread in Synthetic Populations - Virtual Plagues in Massively Multiplayer Online Games

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    A virtual plague is a process in which a behavior-affecting property spreads among characters in a Massively Multiplayer Online Game (MMOG). The MMOG individuals constitute a synthetic population, and the game can be seen as a form of interactive executable model for studying disease spread, albeit of a very special kind. To a game developer maintaining an MMOG, recognizing, monitoring, and ultimately controlling a virtual plague is important, regardless of how it was initiated. The prospect of using tools, methods and theory from the field of epidemiology to do this seems natural and appealing. We will address the feasibility of such a prospect, first by considering some basic measures used in epidemiology, then by pointing out the differences between real world epidemics and virtual plagues. We also suggest directions for MMOG developer control through epidemiological modeling. Our aim is understanding the properties of virtual plagues, rather than trying to eliminate them or mitigate their effects, as would be in the case of real infectious disease.Comment: Accepted for presentation at Digital Games Research Association (DiGRA) conference in Tokyo in September 2007. All comments to the authors (mail addresses are in the paper) are welcom

    Understanding virtual epidemics: Children’s folk conceptions of a computer virus

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    Abstract: The recent interest in virtual worlds for studying epidemics has created promising educational opportunities. Our work investigates the annual outbreak of Whypox, a virtual epidemic in Whyville.net, a virtual world with over 1.2 million registered players ages 8-16. We examined online and classroom participants' understanding of a computer virus using surveys and design activities. Our analyses reveal that students have a mostly naĂŻve understanding of a computer virus influenced by mythological or anthropomorphic perspectives; only few were able to describe computational elements. The 35 students who participated in a curricular intervention in addition to the virtual epidemic shared these naĂŻve conceptions initially, but developed more sophisticated views after the intervention. The discussion addresses possible explanations for students' conceptions and implications for future instructional designs

    A picture is worth a thousand words: an empirical study on the influence of content visibility on diffusion processes within a virtual world

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    Studying information diffusion and the spread of goods in the real world and in many digital services can be extremely difficult since information about the information flows is challenging to accurately track. How information spreads has commonly been analysed from the perspective of homophily, social influence, and initial seed selection. However, in virtual worlds and virtual economies, the movements of information and goods can be precisely tracked. Therefore, these environments create laboratories for the accurate study of information diffusion characteristics that have been difficult to study in prior research. In this paper, we study how content visibility as well as sender and receiver characteristics, the relationship between them, and the types of multilayer social network layers affect content absorption and diffusion in virtual world. The results show that prior visibility of distributed content is the strongest predictor of content adoption and its further spread across networks. Among other analysed factors, the mechanics of diffusion, content quality, and content adoption by users’ neighbours on the social activity layer had very strong influences on the adoption of new content.</p

    Practices of Speculation: Modeling, Embodiment, Figuration

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    This volume offers innovative ways to think about speculation at a time when anticipation of catastrophe in an apocalyptic mode is the order of the day and shapes public discourse on a global scale. It maps an interdisciplinary field of investigation: the chapters interrogate hegemonic ways of shaping the present through investments in the future, while also looking at speculative practices that reveal transformative potential. The twelve contributions explore concrete instances of envisioning the open unknown and affirmative speculative potentials in history, literature, comics, computer games, mold research, ecosystem science and artistic practice

    Practices of Speculation

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    This volume offers innovative ways to think about speculation at a time when anticipation of catastrophe in an apocalyptic mode is the order of the day and shapes public discourse on a global scale. It maps an interdisciplinary field of investigation: the chapters interrogate hegemonic ways of shaping the present through investments in the future, while also looking at speculative practices that reveal transformative potential. The twelve contributions explore concrete instances of envisioning the open unknown and affirmative speculative potentials in history, literature, comics, computer games, mold research, ecosystem science and artistic practice

    Building Robust Distributed Infrastructure Networks

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    Many competing designs for Distributed Hash Tables exist exploring multiple models of addressing, routing and network maintenance. Designing a general theoretical model and implementation of a Distributed Hash Table allows exploration of the possible properties of Distributed Hash Tables. We will propose a generalized model of DHT behavior, centered on utilizing Delaunay triangulation in a given metric space to maintain the networks topology. We will show that utilizing this model we can produce network topologies that approximate existing DHT methods and provide a starting point for further exploration. We will use our generalized model of DHT construction to design and implement more efficient Distributed Hash Table protocols, and discuss the qualities of potential successors to existing DHT technologies

    Using MapReduce Streaming for Distributed Life Simulation on the Cloud

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    Distributed software simulations are indispensable in the study of large-scale life models but often require the use of technically complex lower-level distributed computing frameworks, such as MPI. We propose to overcome the complexity challenge by applying the emerging MapReduce (MR) model to distributed life simulations and by running such simulations on the cloud. Technically, we design optimized MR streaming algorithms for discrete and continuous versions of Conway’s life according to a general MR streaming pattern. We chose life because it is simple enough as a testbed for MR’s applicability to a-life simulations and general enough to make our results applicable to various lattice-based a-life models. We implement and empirically evaluate our algorithms’ performance on Amazon’s Elastic MR cloud. Our experiments demonstrate that a single MR optimization technique called strip partitioning can reduce the execution time of continuous life simulations by 64%. To the best of our knowledge, we are the first to propose and evaluate MR streaming algorithms for lattice-based simulations. Our algorithms can serve as prototypes in the development of novel MR simulation algorithms for large-scale lattice-based a-life models.https://digitalcommons.chapman.edu/scs_books/1014/thumbnail.jp
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