Modelagem do Interesse por Áreas Urbanas Usando Redes Sociais Baseadas em Localização
Resumo
Location-Based Social Networks (LBSNs) can help model users’ interests in urban areas in several ways. In the present work, we focus on Interest Networks (iNETs), which result from modeling LBSN data into graphs. The present study provides insights into which areas are frequently visited together by getting data from two distinct LBSNs, Foursquare and Google Places. Although the studied LBSNs differ in nature, with data varying in regularity and purpose, both modeled iNETs revealed similar urban behavior patterns and were likewise impacted by socioeconomic and geographic factors. Also, we discuss the development of a tool to empower urban studies and the by-products of this research.
Palavras-chave:
LBSNs, grafos, modelagem comportamental, interesses, áreas urbanas
Referências
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Helen C. Mattos Senefonte, Myriam Regattieri Delgado, Ricardo Lüders, and Thiago H. Silva. 2022. PredicTour: Predicting Mobility Patterns of Tourists Based on Social Media User’s Profiles. IEEE Access 10 (2022), 9257–9270.
Thiago H. Silva, Pedro O. S. Vaz de Melo, Jussara M. Almeida, and Antonio A. F. Loureiro. 2017. Uma Fotografia do Instagram: Caracterização e Aplicação. Revista Brasileira de Redes de Computadores e Sistemas Distribuídos (2017).
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Thiago H. Silva, Pedro O. S. Vaz de Melo, Jussara M. Almeida, Juliana Salles, and Antonio A. F. Loureiro. 2013. A comparison of Foursquare and Instagram to the study of city dynamics and urban social behavior. In Proc. ACM SIGKDD UrbComp’13. Chicago, USA.
Thiago H. Silva, Aline Carneiro Viana, Fabrício Benevenuto, Leandro Villas, Juliana Salles, Antonio Loureiro, and Daniele Quercia. 2019. Urban Computing Leveraging Location-Based Social Network Data: A Survey. Comput. Surveys 52 , 1 (Feb. 2019), 1–39.
Daniel Silver and Thiago H. Silva. 2023. Complex causal structures of neighbourhood change: Evidence from a functionalist model and yelp data. Cities 133 (2023), 104130.
Lucas E.B. Skora, Helen C.M. Senefonte, Myriam Regattieri Delgado, Ricardo Lüders, and Thiago H. Silva. 2022. Comparing global tourism flows measured by official census and social sensing. Online Social Networks and Media 29 (2022) , 100204.
David A. M. Veiga, Gabriel B. Frizzo, and Thiago H. Silva. 2019. Cross-cultural study of tourists mobility using social media. In Proc. of WebMedia (Rio de Janeiro, Brazil) (WebMedia ’19). ACM, 313–316.
Kelsey Jordahl et al. 2020. geopandas/geopandas: v0.8.1.
Ana P.G. Ferreira, Thiago H. Silva, and Antonio A.F. Loureiro. 2020. Uncovering spatiotemporal and semantic aspects of tourists mobility using social sensing. Computer Communications 160 (2020), 240–252.
Ana Paula G. Ferreira, Thiago Henrique Silva, and Antonio Alfredo Ferreira Loureiro. 2015. Beyond Sights: Large Scale Study of Tourists’ Behavior Using Foursquare Data. In Proc. of ICDMW. 1117–1124.
Fernanda Gubert, Gustavo H. Santos, Myriam Delgado, Daniel Silver, and Thiago H Silva. 2024. Criação de Assinatura Cultural de Áreas Urbanas com Estabelecimentos Geolocalizados na Web. In Proc. of Courb. Niteroi, RJ, 1 – 14.
Fernanda R Gubert, Gustavo H. Santos, Myriam R. B. S. Delgado, Daniel Silver, and Thiago H Silva. 2024 (to appear). Culture Fingerprint: Identification of Culturally Similar Urban Areas Using Google Places Datas. In Proc. of Asonam. Cosenza, Italia, 1 – 11.
Ruining He, Wang-Cheng Kang, and Julian McAuley. 2017. Translation-based Recommendation. In Proceedings of the Eleventh ACM Conference on Recommender Systems (RecSys ’17). ACM.
Peng Huang and Carter T. Butts. 2023. Rooted America: Immobility and Segregation of the Intercounty Migration Network. American Sociological Review 88, 6 (Nov. 2023), 1031–1065.
Lucas Ladeira, Allan Souza, Geraldo Rocha Filho, Thiago Henrique Silva, and Leandro Villas. 2019. Serviço de Sugestão de Rotas Seguras para Veículos. In Anais do XXXVII SBRC (Gramado). SBC, Porto Alegre, RS, Brasil, 608–621.
Xi Liu, Clio Andris, and Bruce A. Desmarais. 2019. Migration and political polarization in the U.S.: An analysis of the county-level migration network. PLOS ONE 14, 11 (Nov. 2019), e0225405.
Pablo Martí, Leticia Serrano-Estrada, and Almudena Nolasco-Cirugeda. 2019. Social media data: Challenges, opportunities and limitations in urban studies. Comp., Envir. and Urban Systems 74 (2019), 161–174.
Almudena Nolasco-Cirugeda and Clara García-Mayor. 2022. Social dynamics in cities: Analysis through LBSN data. Procedia Computer Science 207 (2022) , 877–886.
Rajiv Pasricha and Julian McAuley. 2018. Translation-based factorization machines for sequential recommendation. In Proceedings of the 12th ACM Conference on Recommender Systems (RecSys ’18). ACM.
Ville Santala, Sandro Miczevski, Saulo A de Brito, Ariane Lao Baldykowski, Tatiana Gadda, Nadia Kozievitch, and Thiago H Silva. 2017. Making Sense of the City: Exploring the Use of Social Media Data for Urban Planning and Place Branding. In Anais do I COURB (Belém). SBC, Porto Alegre, RS, Brasil.
Gustavo H. Santos, Fernanda Gubert, Myriam Delgado, and Thiago H Silva. 2024. Redes de Interesse: comparando o Google Places e Foursquare na captura da escolha de usuários por áreas urbanas. In Proc. of Courb. Niteroi, RJ, 1 – 14.
Helen C. Mattos Senefonte, Myriam Regattieri Delgado, Ricardo Lüders, and Thiago H. Silva. 2022. PredicTour: Predicting Mobility Patterns of Tourists Based on Social Media User’s Profiles. IEEE Access 10 (2022), 9257–9270.
Thiago H. Silva, Pedro O. S. Vaz de Melo, Jussara M. Almeida, and Antonio A. F. Loureiro. 2017. Uma Fotografia do Instagram: Caracterização e Aplicação. Revista Brasileira de Redes de Computadores e Sistemas Distribuídos (2017).
Thiago H. Silva, Pedro Vaz de Melo, Jussara Almeida, Mirco Musolesi, and Antonio Loureiro. 2017. A large-scale study of cultural differences using urban data about eating and drinking preferences. Information Systems 72, Supplement C (2017) , 95 – 116.
Thiago H Silva and Antonio AF Loureiro. 2016. Computaçao urbana: Técnicas para o estudo de sociedades com redes de sensoriamento participativo. Sociedade Brasileira de Computação (2016).
Thiago H Silva and Daniel Silver. 0. Using graph neural networks to predict local culture. Environment and Planning B: Urban Analytics and City Science 0, 0 (0).
Thiago H. Silva, Pedro O. S. Vaz de Melo, Jussara M. Almeida, Juliana Salles, and Antonio A. F. Loureiro. 2013. A comparison of Foursquare and Instagram to the study of city dynamics and urban social behavior. In Proc. ACM SIGKDD UrbComp’13. Chicago, USA.
Thiago H. Silva, Aline Carneiro Viana, Fabrício Benevenuto, Leandro Villas, Juliana Salles, Antonio Loureiro, and Daniele Quercia. 2019. Urban Computing Leveraging Location-Based Social Network Data: A Survey. Comput. Surveys 52 , 1 (Feb. 2019), 1–39.
Daniel Silver and Thiago H. Silva. 2023. Complex causal structures of neighbourhood change: Evidence from a functionalist model and yelp data. Cities 133 (2023), 104130.
Lucas E.B. Skora, Helen C.M. Senefonte, Myriam Regattieri Delgado, Ricardo Lüders, and Thiago H. Silva. 2022. Comparing global tourism flows measured by official census and social sensing. Online Social Networks and Media 29 (2022) , 100204.
David A. M. Veiga, Gabriel B. Frizzo, and Thiago H. Silva. 2019. Cross-cultural study of tourists mobility using social media. In Proc. of WebMedia (Rio de Janeiro, Brazil) (WebMedia ’19). ACM, 313–316.
Publicado
14/10/2024
Como Citar
SANTOS, Gustavo H.; DELGADO, Myriam; SILVA, Thiago H..
Modelagem do Interesse por Áreas Urbanas Usando Redes Sociais Baseadas em Localização. In: CONCURSO DE TRABALHOS DE INICIAÇÃO CIENTÍFICA - SIMPÓSIO BRASILEIRO DE SISTEMAS MULTIMÍDIA E WEB (WEBMEDIA), 30. , 2024, Juiz de Fora/MG.
Anais [...].
Porto Alegre: Sociedade Brasileira de Computação,
2024
.
p. 57-60.
ISSN 2596-1683.
DOI: https://doi.org/10.5753/webmedia_estendido.2024.243696.
