Using network metrics to explore the community structure that underlies movement patterns Article Swipe

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Anh Pham Thi Minh , Abhishek K. Singh , Soumya Snigdha Kundu ·

YOU? · · 2023 · Open Access · · DOI: https://doi.org/10.48550/arxiv.2309.07878

This work aims to explore the community structure of Santiago de Chile by analyzing the movement patterns of its residents. We use a dataset containing the approximate locations of home and work places for a subset of anonymized residents to construct a network that represents the movement patterns within the city. Through the analysis of this network, we aim to identify the communities or sub-cities that exist within Santiago de Chile and gain insights into the factors that drive the spatial organization of the city. We employ modularity optimization algorithms and clustering techniques to identify the communities within the network. Our results present that the novelty of combining community detection algorithms with segregation tools provides new insights to further the understanding of the complex geography of segregation during working hours.

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Novelty Modularity (biology) Movement (music) Construct (python library) Community structure Data science Cluster analysis Computer science Work (physics) Complex network Geography Social network analysis Economic geography Artificial intelligence World Wide Web Psychology Engineering Computer network Mathematics Genetics Social psychology Social media Biology Mechanical engineering Aesthetics Combinatorics Philosophy

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Type: preprint
Language: en
Landing Page: http://arxiv.org/abs/2309.07878
PDF: https://arxiv.org/pdf/2309.07878
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DOI: https://doi.org/10.48550/arxiv.2309.07878

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Title: Using network metrics to explore the community structure that underlies movement patterns

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Publication year: 2023

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Publication date: 2023-09-14

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Authors: Anh Pham Thi Minh, Abhishek K. Singh, Soumya Snigdha Kundu

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Concepts: Novelty, Modularity (biology), Movement (music), Construct (python library), Community structure, Data science, Cluster analysis, Computer science, Work (physics), Complex network, Geography, Social network analysis, Economic geography, Artificial intelligence, World Wide Web, Psychology, Engineering, Computer network, Mathematics, Genetics, Social psychology, Social media, Biology, Mechanical engineering, Aesthetics, Combinatorics, Philosophy

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sustainable_development_goals[0].id	https://metadata.un.org/sdg/11
sustainable_development_goals[0].score	0.5400000214576721
sustainable_development_goals[0].display_name	Sustainable cities and communities
citation_normalized_percentile