Contagious Agents: Epidemics, Networks, Computer Simulations

Research output: Contributions to collected editions/worksContributions to collected editions/anthologiesResearchpeer-review

Standard

Contagious Agents: Epidemics, Networks, Computer Simulations. / Vehlken, Sebastian.
Imitation, Contagion, Suggestion: On Mimesis and Society. ed. / Christian Borch. 1. ed. Routledge Taylor & Francis Group, 2019.

Research output: Contributions to collected editions/worksContributions to collected editions/anthologiesResearchpeer-review

Harvard

Vehlken, S 2019, Contagious Agents: Epidemics, Networks, Computer Simulations. in C Borch (ed.), Imitation, Contagion, Suggestion: On Mimesis and Society. 1 edn, Routledge Taylor & Francis Group. https://doi.org/10.4324/9781351034944-9

APA

Vehlken, S. (2019). Contagious Agents: Epidemics, Networks, Computer Simulations. In C. Borch (Ed.), Imitation, Contagion, Suggestion: On Mimesis and Society (1 ed.). Routledge Taylor & Francis Group. https://doi.org/10.4324/9781351034944-9

Vancouver

Vehlken S. Contagious Agents: Epidemics, Networks, Computer Simulations. In Borch C, editor, Imitation, Contagion, Suggestion: On Mimesis and Society. 1 ed. Routledge Taylor & Francis Group. 2019 doi: 10.4324/9781351034944-9

Bibtex

@inbook{bc00a529209d46c1ade8c16f32c56280,
title = "Contagious Agents: Epidemics, Networks, Computer Simulations",
abstract = "This chapter discusses in more detail the concepts of contagion and contagious agents in network and computer simulation studies against the backdrop of epidemic response systems. It examines that the understanding of contagion as a cross-section of biology and computer technology – especially in Agent-based models (ABMs) – entails at least two major consequences. Contrariwise, and building on a research tradition of functionalist approaches to animal collectives, recent ABM in biological research has shown that information is distributed through the constantly changing and moving collective by a large number of parallel, individually distributed, and local actions and reactions. Cellular-automata (CA) models for disease spread improve upon these models and allow for spatial dimensions and discontinuities. However, the geometry of CA highly oversimplifies the spatial reality of the real world and thus of disease propagation processes. The application of ABM thus transforms the modes of describing and of acknowledging dynamic systems",
keywords = "Media and communication studies",
author = "Sebastian Vehlken",
year = "2019",
month = jan,
day = "16",
doi = "10.4324/9781351034944-9",
language = "English",
isbn = "9781138490642",
editor = "Christian Borch",
booktitle = "Imitation, Contagion, Suggestion",
publisher = "Routledge Taylor & Francis Group",
address = "United Kingdom",
edition = "1",

}

RIS

TY - CHAP

T1 - Contagious Agents

T2 - Epidemics, Networks, Computer Simulations

AU - Vehlken, Sebastian

PY - 2019/1/16

Y1 - 2019/1/16

N2 - This chapter discusses in more detail the concepts of contagion and contagious agents in network and computer simulation studies against the backdrop of epidemic response systems. It examines that the understanding of contagion as a cross-section of biology and computer technology – especially in Agent-based models (ABMs) – entails at least two major consequences. Contrariwise, and building on a research tradition of functionalist approaches to animal collectives, recent ABM in biological research has shown that information is distributed through the constantly changing and moving collective by a large number of parallel, individually distributed, and local actions and reactions. Cellular-automata (CA) models for disease spread improve upon these models and allow for spatial dimensions and discontinuities. However, the geometry of CA highly oversimplifies the spatial reality of the real world and thus of disease propagation processes. The application of ABM thus transforms the modes of describing and of acknowledging dynamic systems

AB - This chapter discusses in more detail the concepts of contagion and contagious agents in network and computer simulation studies against the backdrop of epidemic response systems. It examines that the understanding of contagion as a cross-section of biology and computer technology – especially in Agent-based models (ABMs) – entails at least two major consequences. Contrariwise, and building on a research tradition of functionalist approaches to animal collectives, recent ABM in biological research has shown that information is distributed through the constantly changing and moving collective by a large number of parallel, individually distributed, and local actions and reactions. Cellular-automata (CA) models for disease spread improve upon these models and allow for spatial dimensions and discontinuities. However, the geometry of CA highly oversimplifies the spatial reality of the real world and thus of disease propagation processes. The application of ABM thus transforms the modes of describing and of acknowledging dynamic systems

KW - Media and communication studies

UR - https://www.crcpress.com/Imitation-Contagion-Suggestion-On-Mimesis-and-Society/Borch/p/book/9781138490642

U2 - 10.4324/9781351034944-9

DO - 10.4324/9781351034944-9

M3 - Contributions to collected editions/anthologies

SN - 9781138490642

BT - Imitation, Contagion, Suggestion

A2 - Borch, Christian

PB - Routledge Taylor & Francis Group

ER -

DOI