Djurdjevac, N. and Helfmann, L. and Zonker, J. and Winkelmann, S. and Schütte, Ch.
(2018)
*Human mobility and innovation spreading in ancient times: a stochastic agent-based simulation approach.*
EPJ Data Science, 7
(1).
p. 24.

Full text not available from this repository.

Official URL: https://epjdatascience.springeropen.com/articles/1...

## Abstract

Human mobility always had a great influence on the spreading of cultural, social and technological ideas. Developing realistic models that allow for a better understanding, prediction and control of such coupled processes has gained a lot of attention in recent years. However, the modeling of spreading processes that happened in ancient times faces the additional challenge that available knowledge and data is often limited and sparse. In this paper, we present a new agent-based model for the spreading of innovations in the ancient world that is governed by human movements. Our model considers the diffusion of innovations on a spatial network that is changing in time, as the agents are changing their positions. Additionally, we propose a novel stochastic simulation approach to produce spatio-temporal realizations of the spreading process that are instructive for studying its dynamical properties and exploring how different influences affect its speed and spatial evolution.

Item Type: | Article |
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Subjects: | Mathematical and Computer Sciences Mathematical and Computer Sciences > Mathematics |

Divisions: | Department of Mathematics and Computer Science > Institute of Computer Science Department of Mathematics and Computer Science > Institute of Mathematics Department of Mathematics and Computer Science > Institute of Mathematics > BioComputing Group |

ID Code: | 2303 |

Deposited By: | BioComp Admin |

Deposited On: | 12 Mar 2019 14:29 |

Last Modified: | 12 Mar 2019 14:29 |

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