Abstract
Modern societies are very rapidly changing in the context of complex and dynamic technological, economic and cultural environments. Admittedly, the latter environment is very vague and much less understood in terms of formal modelling of underlying processes. Evidently, in the era of globalization and radicalization, there is an urgent need to have some applicable models to simulate and foresee how particular cultural activities form social cohesion, dispersion, clusterization or radicalization in social groups or society in general. In this regard, presented multidisciplinary research paper is focused on modelling and simulation of stylized cultural events impact to social capital dynamics and distribution. Presented agent-based simulation approach rests upon conceptual model, which employs CIDOC-CRM methodology. OECD scheme is used to estimate social capital metrics - personal relationships, social network support, civic engagement, trust and cooperative norms. Agent-based simulation model is described using ODD standardized protocol. NetLogo MAS platform is used as a simulation environment. Obtained simulation results start from a well-known Axelrod agent-based physical neighbourhood interaction model, which we, following modern empirical observations, expanded for (i) the long-range interaction approach (broadcasted cultural events) and (ii) neighbourhood interaction in the social capital dimensions. Simulation results reveal some basic conditions under which cohesion, clustering or radicalization behavioural patterns can emerge in the simulated society.
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Notes
- 1.
While describing social benefits of our research, we noticed that there are two main aspects: (a) state wide assessment of cultural events impact, and (b) evaluation of strategic decisions of cultural policy. Therefore, we have not emphasized investigation of the individual and private cultural events, i.e. we transferred our investigation from micro to macro level.
- 2.
This restriction has been implemented due to the chosen (1) object of investigation, which is population, not individuals and, (2) main research goal – measurement of cultural events’ impact to social capital and cohesion (or radicalization) in the population level.
- 3.
Today, in cultural domain, empirical data is mostly gathered for the investigation of the real–life cultural events and their impact on population, but not for the events posted on social networks. Because of the lack of empirical data gathered for the latter events we do not investigate them. However, having enough empirical data, our simulation model can be adapted (due to the properties of abstraction and universality) for the events posted on social networks as well.
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Acknowledgment
This research was funded by a grant (No. P-MIP-17-368) from the Research Council of Lithuania.
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Plikynas, D., Laužikas, R., Sakalauskas, L., Miliauskas, A., Dulskis, V. (2020). Agent-Based Simulation of Cultural Events Impact on Social Capital Dynamics. In: Bi, Y., Bhatia, R., Kapoor, S. (eds) Intelligent Systems and Applications. IntelliSys 2019. Advances in Intelligent Systems and Computing, vol 1037. Springer, Cham. https://doi.org/10.1007/978-3-030-29516-5_84
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