Computational Model Library

Communication and social change in space and time (1.1.0)

This agent-based model simulates the diffusion of a social change process stratified by social class in space and time which is solely driven social and spatial variation in communication links. We follow Hägerstrand (1965) by using migration links as proxies for communication links. To exemplify the potentials of the model, we use individual-level census data for Sweden in 1880 to model social and spatio-temporal characteristics of the fertility decline. The model seems to be able to replicate most of these characteristics with a small number of communication rules.

Map_Simulated_Pattern.png

Release Notes

1.0

Associated Publications

Klüsener, S., Scalone, F., Dribe, M. (2017): Exploring the role of communication in shaping fertility transition patterns in space and time. In: Grow, A., Van Bavel, J. (eds.): Agent-Based Modelling in Population Studies. Concepts, Methods, and Applications. Springer.

Communication and social change in space and time 1.1.0

Submitted by skluesen Published Oct 13, 2017 Last modified Feb 23, 2018
diffusion of information geography socio-economic status fertility

This agent-based model simulates the diffusion of a social change process stratified by social class in space and time which is solely driven social and spatial variation in communication links. We follow Hägerstrand (1965) by using migration links as proxies for communication links. To exemplify the potentials of the model, we use individual-level census data for Sweden in 1880 to model social and spatio-temporal characteristics of the fertility decline. The model seems to be able to replicate most of these characteristics with a small number of communication rules.

Release Notes

1.0

Cite this Model

Sebastian Kluesener, Francesco Scalone, Martin Dribe (2017, October 13). “Communication and social change in space and time” (Version 1.1.0). CoMSES Computational Model Library. Retrieved from: https://www.comses.net/codebases/5028/releases/1.1.0/

Associated Publication(s)

Klüsener, S., Scalone, F., Dribe, M. (2017): Exploring the role of communication in shaping fertility transition patterns in space and time. In: Grow, A., Van Bavel, J. (eds.): Agent-Based Modelling in Population Studies. Concepts, Methods, and Applications. Springer.

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Contributors
Sebastian Kluesener Francesco Scalone Martin Dribe
DOI
No assigned DOI
Model Version
1.1.0
License
CC-BY-SA-4.0
Programming Language
R
Software Framework
R
Operating System
Operating System Independent
Publish Date
Friday, October 13, 2017
Last Updated
Sunday, February 18, 2018
Downloads 254
Peer Review
Unreviewed
Version Submitter First published Last modified Status
1.1.0 skluesen Fri Oct 13 16:24:43 2017 Sun Feb 18 07:23:45 2018 Published
1.0.0 skluesen Tue May 17 10:30:29 2016 Tue Feb 20 20:16:34 2018 Published

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