Human mobility and innovation spreading in ancient times: a stochastic agent-based simulation approach
Authored by Natasa Djurdjevac Conrad, Luzie Helfmann, Johannes Zonker, Stefanie Winkelmann, Christof Schuette
Date Published: 2018
DOI: 10.1140/epjds/s13688-018-0153-9
Sponsors:
German Research Foundation (Deutsche Forschungsgemeinschaft, DFG)
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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.
Tags
Agent-based model
epidemics
Migration
networks
Network
human mobility
patterns
Model
diffusion process
Prediction
Differential-equations
Infectious-diseases
Europe
Complex-systems
Spreading process
Stochastic
simulation algorithm
Equation-of-state