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    <publishedDate>2023-01-01</publishedDate>
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    <title language="eng">Supplementary code and data for Royal Society Open Science Manuscript rsos.230495</title>
    <abstract language="eng">In this repository are all files necessary to run the agent-based model of the paper "Insights into drivers of mobility and cultural dynamics of African hunter–gatherers over the past 120 000 years", Royal Society Open Science, 10(11), 2023.</abstract>
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    <author>Johannes Zonker</author>
    <submitter>Natasa Djurdjevac Conrad</submitter>
    <author>Cecilia Padilla-Iglesias</author>
    <author>Natasa Djurdjevac Conrad</author>
    <collection role="institutes" number="num">Numerical Mathematics</collection>
    <collection role="persons" number="natasa.conrad">Conrad, Natasa</collection>
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  <doc>
    <id>9267</id>
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    <language>eng</language>
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    <title language="eng">Supplementary code for the paper Modelling opinion dynamics under the impact of influencer and media strategies</title>
    <abstract language="eng">This repository contains the Julia code accompanying the paper "Modelling opinion dynamics under the impact of influencer and media strategies", Scientific Reports, Vol.13, p. 19375, 2023.</abstract>
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    <author>Luzie Helfmann</author>
    <submitter>Natasa Djurdjevac Conrad</submitter>
    <author>Natasa Djurdjevac Conrad</author>
    <author>Philipp Lorenz-Spreen</author>
    <author>Christof Schütte</author>
    <collection role="institutes" number="num">Numerical Mathematics</collection>
    <collection role="persons" number="schuette">Schütte, Christof</collection>
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  <doc>
    <id>9167</id>
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    <publishedYear>2023</publishedYear>
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    <language>eng</language>
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    <pageNumber/>
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    <issue>11</issue>
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    <title language="eng">Insights into drivers of mobility and cultural dynamics of African hunter-gatherers over the past 120 000 years</title>
    <abstract language="eng">Humans have a unique capacity to innovate, transmit and rely on complex, cumulative culture for survival. While an important body of work has attempted to explore the role of changes in the size and interconnectedness of populations in determining the persistence, diversity and complexity of material culture, results have achieved limited success in explaining the emergence and spatial distribution of cumulative culture over our evolutionary trajectory. Here, we develop a spatio-temporally explicit agent-based model to explore the role of environmentally driven changes in the population dynamics of hunter–gatherer communities in allowing the development, transmission and accumulation of complex culture. By modelling separately demography- and mobility-driven changes in interaction networks, we can assess the extent to which cultural change is driven by different types of population dynamics. We create and validate our model using empirical data from Central Africa spanning 120 000 years. We find that populations would have been able to maintain diverse and elaborate cultural repertoires despite abrupt environmental changes and demographic collapses by preventing isolation through mobility. However, we also reveal that the function of cultural features was also an essential determinant of the effects of environmental or demographic changes on their dynamics. Our work can therefore offer important insights into the role of a foraging lifestyle on the evolution of cumulative culture.</abstract>
    <parentTitle language="eng">Royal Society Open Science</parentTitle>
    <identifier type="doi">10.1098/rsos.230495</identifier>
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    <author>Johannes Zonker</author>
    <submitter>Natasa Djurdjevac Conrad</submitter>
    <author>Cecilia Padilla-Iglesias</author>
    <author>Natasa Djurdjevac Conrad</author>
    <collection role="institutes" number="num">Numerical Mathematics</collection>
    <collection role="persons" number="natasa.conrad">Conrad, Natasa</collection>
    <collection role="projects" number="INNOSPREAD">INNOSPREAD</collection>
    <collection role="institutes" number="MSoCP">Modeling and Simulation of Complex Processes</collection>
    <collection role="projects" number="MathPlusEF5-1">MathPlusEF5-1</collection>
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    <id>8976</id>
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    <publishedYear>2023</publishedYear>
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    <language>eng</language>
    <pageFirst>19375</pageFirst>
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    <edition/>
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    <volume>13</volume>
    <type>article</type>
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    <title language="eng">Modelling opinion dynamics under the impact of influencer and media strategies</title>
    <abstract language="eng">Digital communication has made the public discourse considerably more complex, and new actors and strategies have emerged as a result of this seismic shift. Aside from the often-studied interactions among individuals during opinion formation, which have been facilitated on a large scale by social media platforms, the changing role of traditional media and the emerging role of "influencers" are not well understood, and the implications of their engagement strategies arising from the incentive structure of the attention economy even less so. Here we propose a novel opinion dynamics model that accounts for these different roles, namely that media and influencers change their own positions on slower time scales than individuals, while influencers dynamically gain and lose followers. Numerical simulations show the importance of their relative influence in creating qualitatively different opinion formation dynamics: with influencers, fragmented but short-lived clusters emerge, which are then counteracted by more stable media positions. Mean-field approximations by partial differential equations reproduce this dynamic. Based on the mean-field model, we study how strategies of influencers to gain more followers can influence the overall opinion distribution. We show that moving towards extreme positions can be a beneficial strategy for influencers to gain followers. Finally, we demonstrate that optimal control strategies allow other influencers or media to counteract such attempts and prevent further fragmentation of the opinion landscape. Our modelling framework contributes to better understanding the different roles and strategies in the increasingly complex information ecosystem and their impact on public opinion formation.</abstract>
    <parentTitle language="eng">Scientific Reports</parentTitle>
    <identifier type="arxiv">2301.13661</identifier>
    <identifier type="doi">10.1038/s41598-023-46187-9</identifier>
    <enrichment key="PeerReviewed">yes</enrichment>
    <author>Luzie Helfmann</author>
    <submitter>Luzie Helfmann</submitter>
    <author>Natasa Djurdjevac Conrad</author>
    <author>Philipp Lorenz-Spreen</author>
    <author>Christof Schütte</author>
    <collection role="institutes" number="num">Numerical Mathematics</collection>
    <collection role="persons" number="schuette">Schütte, Christof</collection>
    <collection role="persons" number="natasa.conrad">Conrad, Natasa</collection>
    <collection role="institutes" number="MSoCP">Modeling and Simulation of Complex Processes</collection>
    <collection role="projects" number="MathPlusEF45-1">MathPlusEF45-1</collection>
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