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Networks of Influence

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Networks of Echoes

Part of the book series: Computational Social Sciences ((CSS))

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Abstract

Every day we see the effect of small groups influencing the direction taken by larger groups, whether that direction is in physical space, political orientation, or dietary habits. The collective behavior of decentralized, self-organized networks is often referred to as swarm intelligence and is used in research on artificial intelligence. The approach is to consider multiple agents interacting locally with one another and with their environment. The different kinds of model interactions draw their inspiration from nature through the behaviors of different natural groupings such as a bevy (of quail), a covey (of partridges), a clowder (of cats), a flock (of birds of all kinds), a gaggle (of geese on water), a gang (of elk), a pride (of lions), a skein (of geese flying), swarms (of fireflies and insects of all kinds), and dozens more. West [53] observed that experts apparently want to capture the uniqueness of group structure within a species by giving it a special name. This allows them to make slight adjustments in their theories and models of the Natural History of the world. But more importantly these constructs enable scientists to nuance the collective behavior observed in the social structure created by each species from the school of fish to the murmuration of swallows.

Remember that all models are wrong; the practical question is how wrong do they have to be to not be useful….George E. P. Box

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Author information

Authors and Affiliations

  1. Department of Physics, Duke University, Durham, NC, USA

    Bruce J. West & Malgorzata Turalska

  2. Information Sciences Directorate, Army Research Office, Research Triangle Park, NC, USA

    Bruce J. West

  3. Department of Physics, University of North Texas, Denton, TX, USA

    Paolo Grigolini

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  1. Bruce J. West
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  2. Malgorzata Turalska
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  3. Paolo Grigolini
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West, B.J., Turalska, M., Grigolini, P. (2014). Networks of Influence. In: Networks of Echoes. Computational Social Sciences. Springer, Cham. https://doi.org/10.1007/978-3-319-04879-6_5

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