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Keywords = graph-based cellular automata (GCA)

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21 pages, 4199 KiB  
Article
Modelling the Impact of Transit Media on Information Spreading in an Urban Space Using Cellular Automata
by Krzysztof Małecki, Jarosław Jankowski and Mateusz Szkwarkowski
Symmetry 2019, 11(3), 428; https://doi.org/10.3390/sym11030428 - 22 Mar 2019
Cited by 12 | Viewed by 4615
Abstract
Information spreading processes are the key drivers of marketing campaigns. Activity on social media delivers more detailed information compared to viral marketing in traditional media. Monitoring the performance of outdoor campaigns that are carried out using this transportation system is even more complicated [...] Read more.
Information spreading processes are the key drivers of marketing campaigns. Activity on social media delivers more detailed information compared to viral marketing in traditional media. Monitoring the performance of outdoor campaigns that are carried out using this transportation system is even more complicated because of the lack of data. The approach that is presented in this paper is based on cellular automata and enables the modelling of the information-spreading processes that are initiated by transit advertising within an urban space. The evaluation of classical and graph cellular automata models and a coverage analysis of transit advertising based on tram lines were performed. The results demonstrated how the number of lines affects the performance in terms of coverage within an urban space and the differences between the proposed models. While research is based on an exemplary dataset taken from Szczecin (Poland), the presented framework can be used together with data from the public transport system for modelling advertising resources usage and coverage within the urban space. Full article
(This article belongs to the Special Issue Information Technology and Its Applications 2021)
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5843 KiB  
Article
Graph Cellular Automata with Relation-Based Neighbourhoods of Cells for Complex Systems Modelling: A Case of Traffic Simulation
by Krzysztof Małecki
Symmetry 2017, 9(12), 322; https://doi.org/10.3390/sym9120322 - 19 Dec 2017
Cited by 31 | Viewed by 7219
Abstract
A complex system is a set of mutually interacting elements for which it is possible to construct a mathematical model. This article focuses on the cellular automata theory and the graph theory in order to compare various types of cellular automata and to [...] Read more.
A complex system is a set of mutually interacting elements for which it is possible to construct a mathematical model. This article focuses on the cellular automata theory and the graph theory in order to compare various types of cellular automata and to analyse applications of graph structures together with cellular automata. It proposes a graph cellular automaton with a variable configuration of cells and relation-based neighbourhoods (r–GCA). The developed mechanism enables modelling of phenomena found in complex systems (e.g., transport networks, urban logistics, social networks) taking into account the interaction between the existing objects. As an implementation example, modelling of moving vehicles has been made and r–GCA was compared to the other cellular automata models simulating the road traffic and used in the computer simulation process. Full article
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