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Year of publication
Subject
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Assortativity 1 Clustering Coefficient 1 Commuting Patterns 1 Individual Based Models 1 Network Generation 1 Network Generation Models 1 Social Networks 1 Stochastic Models 1 commuting patterns 1 individual based models 1 network generation models 1 stochastic models 1
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Online availability
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Free 3
Type of publication
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Article 3
Type of publication (narrower categories)
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Article 1
Language
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Undetermined 2 English 1
Author
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Gargiulo, Floriana 2 Huet, Sylvie 2 Lenormand, Maxime 2 Badham, Jennifer 1 Baqueiro Espinosa, Omar 1 Espinosa, Omar Baqueiro 1 Stocker, Rob 1
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Published in...
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Journal of Artificial Societies and Social Simulation 3
Source
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RePEc 2 EconStor 1
Showing 1 - 3 of 3
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Commuting network models: Getting the essentials
Gargiulo, Floriana; Lenormand, Maxime; Huet, Sylvie; … - In: Journal of Artificial Societies and Social Simulation 15 (2012) 2
Human mobility and, in particular, commuting patterns have a fundamental role in understanding socio-economic systems. Analysing and modelling the networks formed by commuters, for example, has become a crucial requirement in studying rural areas dynamics and to help decision-making. This paper...
Persistent link: https://www.econbiz.de/10012432038
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Cover Image
Commuting Network Models: Getting the Essentials
Gargiulo, Floriana; Lenormand, Maxime; Huet, Sylvie; … - In: Journal of Artificial Societies and Social Simulation 15 (2012) 2, pp. 6-6
Human mobility and, in particular, commuting patterns have a fundamental role in understanding socio-economic systems. Analysing and modelling the networks formed by commuters, for example, has become a crucial requirement in studying rural areas dynamics and to help decision-making. This paper...
Persistent link: https://www.econbiz.de/10010755838
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A Spatial Approach to Network Generation for Three Properties: Degree Distribution, Clustering Coefficient and Degree Assortativity
Badham, Jennifer; Stocker, Rob - In: Journal of Artificial Societies and Social Simulation 13 (2010) 1, pp. 11-11
Social networks generally display a positively skewed degree distribution and higher values for clustering coefficient and degree assortativity than would be expected from the degree sequence. For some types of simulation studies, these properties need to be varied in the artificial networks...
Persistent link: https://www.econbiz.de/10008619143
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