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Information Transmission in Randomly Generated Social Networks

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Proceedings of the 2018 Conference of the Computational Social Science Society of the Americas (CSSSA 2018)

Part of the book series: Springer Proceedings in Complexity ((SPCOM))

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Abstract

A bee swarm is comprised of two kinds of bees; there are a small number of scout bees and the rest are uninformed bees. The scouts have information that needs to be communicated to the rest of the swarm. This paper explores how the information moves through several random network models as the number of scouts and the number of links between the uninformed bees varies. Under some circumstances, it appears that complicated models might be replaced by smaller, simpler ones.

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Notes

  1. 1.

    The Moore neighborhood is the nearest eight neighbors in the grid.

  2. 2.

    The von Neumann neighborhood consists of the up, down, left, and right neighbors in the grid.

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Correspondence to Jeff Graham .

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Graham, J. (2020). Information Transmission in Randomly Generated Social Networks. In: Carmichael, T., Yang, Z. (eds) Proceedings of the 2018 Conference of the Computational Social Science Society of the Americas. CSSSA 2018. Springer Proceedings in Complexity. Springer, Cham. https://doi.org/10.1007/978-3-030-35902-7_18

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