Unveiling connectivity patterns of categories in complex systems: An application to human needs in urban places |
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Authors: | Ioanna Anna Papachristou Martí Rosas-Casals |
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Affiliation: | 1. Sustainability Measurement and Modeling Lab, Universitat Politecnica de Catalunya–Barcelona Tech, Barcelona, Spainioannapapachr@gmail.com;3. Sustainability Measurement and Modeling Lab, Universitat Politecnica de Catalunya–Barcelona Tech, Barcelona, Spain;4. ICREA—Complex Systems Lab, Universitat Pompeu Fabra (GRIB), Barcelona, Spain |
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Abstract: | We present a methodology based on weighted networks and dependence coefficients aimed at revealing connectivity patterns between categories. As a case study, it is applied to an urban place and at two spatial levels—neighborhood and square—where categories correspond to human needs. Our results show that diverse spatial levels present different and nontrivial patterns of need emergence. A numerical model indicates that these patterns depend on the probability distribution of weights. We suggest that this way of analyzing the connectivity of categories (human needs in our case study) in social and ecological systems can be used to define new strategies to cope with complex processes, such as those related to transition management and governance, urban-making, and integrated planning. |
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Keywords: | Complex networks human-scale development maximal information coefficient qualitative and quantitative analysis urban places |
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