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Explorando tendencias sociales en las discusiones sobre cohousing y coliving en X(Twitter) mediante el uso de técnicas de PNL y de análisis de texto

  • Autores: Rafael Sosa Ramírez, Esteban Vázquez Cano Árbol académico, Norberto Díaz-Díaz Árbol académico, Eloy López Meneses Árbol académico
  • Localización: Pixel-Bit: Revista de medios y educación, ISSN 1133-8482, Nº. 71, 2024, págs. 25-41
  • Idioma: español
  • DOI: 10.12795/pixelbit.107991
  • Títulos paralelos:
    • Exploring social trend sin cohousing and coliving discussions on X(Twitter)using NLP and Text Analysis Techniques
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  • Resumen
    • español

      Lainvestigaciónanalizalastendenciasyvariacionesenlasdiscusionesrelacionadasconcohousingycolivingenlaredsocial X (anteriormente conocida como Twitter) entre 2019 y 2022. Utilizando técnicas avanzadas de análisis de redes de texto, la investigaciónutilizóPythonySnscrapeparaelpreprocesamientodetexto,seguidoporlaconstruccióndegráficosderedyla deteccióndecomunidades.ElestudioempleamodelosdeAsignaciónLatentedeDirichlet(LDA )para identificarlos temas de discusión en los tweets y calcula el tf-idf de bigramas dentro de los principales clusters temáticos. Este estudio evalúa la importancia relativa de estos bigramas en función de su frecuencia en los documento sanalizados .Los resultados revelan un patrónfractaldepropagacióndeinfluenciadentrodelaredsocialX.Temasclavecomoespaciosdetrabajocompartido,pisos en alquiler y planificación urbana destacan de manera prominente en las discusiones sobre la vivienda colaborativa, demostrandoelimpactomultifacéticodelosmodelosdeconvivenciaendiversaspoblaciones.Estainvestigaciónproporciona información esencial sobre el intrincado panorama de las conversaciones sobre la vivienda colaborativa, resaltando el papel fundamental de los modelos de convivencia en la atención de desafíos contemporáneos

    • English

      TheresearchanalysestrendsandvariationsindiscussionsrelatedtocohousingandcolivingintheXSocialNetwork(formerly knownas Twitter)between2019and2022.Employingadvancedtextnetworkanalysistechniques,theresearchusesPython and Snscrape for text pre-processing, followed by network graph construction and community detection. The study employs Latent Dirichle t Allocation(LDA)modelstoidentifythetopicsofdiscussionintweetsandcalculatesthetf-idfofbigramswithin the main thematic clusters. This study evaluates the relative importance of these bigrams as a function of their frequency in the analysed documents. The results reveal a fractal pattern of influence propagation within the X Social Network. Key topics such as coworking spaces, rental flats and urban planning feature prominently in cohousing discussions, demonstrating the multifaceted impact of cohousing models on diverse populations. This research provides essential insight into the intricate landscapeofcohousingconversations,highlightingthepivotalroleofcohousingmodelsinaddressingcontemporarychallenge

  • Referencias bibliográficas
    • Andersen, M. A., & Lyhne, M. B. (2022a). Co-creating Danish cohousing. Architectural Research Quarterly, 26(2), 197–208. https://doi.org/10.1017/S1359135522000355
    • Baiges, C., Ferreri, M., & Vidal, L. (2019). International policies to promote cooperative housing. https://bit.ly/3SuTkeY.
    • Blei, D. M., and M. I. J., Andrew, N. N., & Michael, I. J. (2003). Latent Dirichlet Allocation. Journal of Machine Learning Research,...
    • Blondel, V. D., Guillaume, J. L., Lambiotte, R., & Lefebvre, E. (2008). Fast unfolding of communities in large networks. Journal of Statistical...
    • Bouncken, R. (2018). University coworking-spaces: mechanisms, examples, and suggestions for entrepreneurial universities. Int. J. Technology...
    • Bruni, E., Tran, N. K., & Baroni, M. (2014). Multimodal Distributional Semantics. Journal of Artificial Intelligence Research, 49, 1–47....
    • Budanitsky, A., & Hirst, G. (2006). Evaluating WordNet-based Measures of Lexical Semantic Relatedness. Computational Linguistics, 32(1),...
    • Campr, M., & Karel, J. (2013). Text, Speech, and Dialogue. Lecture Notes in Computer Science, 8082, 568–574.
    • Chevtaeva, E. (2021). Coworking and Coliving: The Attraction for Digital Nomad Tourists. In W. Wörndl, J. L. Stienmetz, & C. Koo (Eds.),...
    • Chou, K.-L., Liang, K., & Sareen, J. (2011). La asociación entre el aislamiento social y los trastornos del estado de ánimo, la ansiedad...
    • CohoUS. Cohousing Association of the United States. Accessed 14 November 2022. https://bit.ly/48YLlMs.
    • Comité sobre los Derechos de las Personas con Discapacidad. (2017). Observación general núm. 5 (2017) sobre el derecho a vivir de forma independiente...
    • Concepción, J. D., López Meneses, E., Vázquez Cano, E., & Crespo-Ramos, S. (2022). Implication of previous training and personal and academic...
    • Coliving.com. Coliving es mejor Encuentre casas coliving flexibles, cómodas y asequibles con amigos incluidos. Accessed 14 November. 2022...
    • Crabtree-Hayes, L. (2023). Establishing a glossary of community-led housing. International Journal of Housing Policy, 1–28. https://doi.org/10.1080/19491247.2022.2155339
    • Crowe, C. L., Domingue, B. W., Graf, G. H., Keyes, K. M., Kwon, D., & Belsky, D. W. (2021). Associations of Loneliness and Social Isolation...
    • De Molina Benavides, L., & Valero Ramos, E. (2021a). La vivienda colaborativa en la era digital como proceso sostenible. Dearq, 31, 21–31....
    • De Vos, E., & Spoormans, L. (2022). Collective Housing in Belgium and the Netherlands: A Comparative Analysis. Urban Planning, 7(1), 336–348....
    • Etxezarreta, A., & Merino, S. (2014). Las cooperativas de vivienda como alternativa al problema de la vivienda en la actual crisis económica....
    • Eurostat. (2022). Evolución de los precios de la vivienda y los alquileres. Accessed 14 November. https://bit.ly/495Qa6N
    • Feng, Y., Bagheri, E., Ensan, F., & Jovanovic, J. (2017). The state of the art in semantic relatedness: a framework for comparison. The...
    • Fromm, D. (1991). Collaborative Communities: Cohousing, Central Living, and Other New Forms of Housing with Shared Facilities (Van Nostrand...
    • Gneiting, T., & Schlather, M. (2004). Stochastic Models That Separate Fractal Dimension and the Hurst Effect. SIAM Review, 46(2), 269–282....
    • Gobierno Vasco. (2020). Diagnóstico del modelo cohousing en Euskadi. Accessed 14 November. https://bit.ly/48K45jc.
    • Guity Zapata, N. A., & Stone, W. M. (2022). Home motivations and lived experiences in housing cooperatives and cohousing communities:...
    • Gummà, E., & Castilla, M. R. (2017). Cohousing de personas mayores. Un recurso residencial emergente. Documentos de Trabajo Social, 59,...
    • Harris, R. G. (2001). The knowledge-based economy: intellectual origins and new economic perspectives. International Journal of Management...
    • Hassan Shah, S. H., Noor, S., Saleem Butt, A., & Halepoto, H. (2021). Twitter Research Synthesis for Health Promotion: A Bibliometric...
    • Heinrich, L. M., & Gullone, E. (2006). The clinical significance of loneliness: A literature review. Clinical Psychology Review, 26(6),...
    • Horelli, L., & Vepsä, K. (1994). In Search of Supportive Structures for Everyday Life. In Women and the Environment (Vol. 13, pp. 201–226)....
    • Hou, S.-I., & Cao, X. (2021). Promising Aging in Community Models in the U.S.: Village, Naturally Occurring Retirement Community (NORC),...
    • Hsu, A. T., Lane, N., Sinha, S., Dunning, J., Dhuper, M., Kahiel, Z., & Sveistrup, H. (2020). Impact of COVID-19 on residents of Canada’s...
    • Hurst, H. E. (1951). Long-Term Storage Capacity of Reservoirs. Transactions of the American Society of Civil Engineers, 116(1), 770–799. https://doi.org/10.1061/TACEAT.0006518
    • Ingold, T. (2000). The Perception of the Environment: Essays on livelihood, dwelling and skill: Vol. First Edition (Routledge, Ed.; 1st ed.)....
    • International Monetary Found. (2022). Global Housing Watch. Accessed 14 November 2023. https://bit.ly/3S3BfDf.
    • Jakonen, M., Kivinen, N., Salovaara, P., & Hirkman, P. (2017). Towards an Economy of Encounters? A critical study of affectual assemblages...
    • Jenks, G. F. (1967). The Data Model Concept in Statistical Mapping. International Yearbook of Cartography, 7, 186–190.
    • JLL. (2019). European Coliving Index. Accessed 14 November 2023. https://bit.ly/3Hu1pKg.
    • Jones, M. N., & Mewhort, D. J. K. (2007). Representing word meaning and order information in a composite holographic lexicon. Psychological...
    • Koller, J. M., Hutchings, B. L., & Zabotka, J. (2023). Older Adult Residents in Cohousing Communities: Impact and Response to the COVID-19...
    • Kraaijeveld, O., & De Smedt, J. (2020). The predictive power of public Twitter sentiment for forecasting cryptocurrency prices. Journal...
    • Lilac. Living Affordable Community. Accessed 14 November. 2022. https://bit.ly/3O6O3Hx. Mahmood, A., Seetharaman, K., Jenkins, H.-T., &...
    • Housing Models and Services Within the Age-Friendly Communities Framework. The Gerontologist, 62(1), 66–74. https://doi.org/10.1093/geront/gnab115
    • Makimoto, T., & Manners, D. (1997). Nómada digital (John Wiley & Sons, Ed.; 1st ed.). John Wiley & Sons.
    • Meltzer, G. (2001). Co-Housing Bringing Communalism to the World? International Communal Studies Association, Communal Living on the Threshold...
    • Naciones Unidas. (2017). Nueva Agenda Urbana A/RES/71/256 (Secretaría de Habitat, Ed.). Naciones Unidas.
    • Naciones Unidas. (2023). Leaving no one behind in an ageing world (Naciones Unidas). Accessed 14 November. 2023. https://bit.ly/4943F74
    • Nash, C., Jarrahi, M. H., Sutherland, W., & Phillips, G. (2018). Digital Nomads Beyond the Buzzword: Defining Digital Nomadic Work and...
    • Natural Language Toolkit. Natural Language Toolkit. Accessed 14 November. 2023. https://bit.ly/3SpYqJ4/.
    • Nethercote, M. (2020). Build-to-Rent and the financialization of rental housing: future research directions. Housing Studies, 35(5), 839–874....
    • ONU. (2015). Resolución aprobada por la Asamblea General el 25 de septiembre de 2015. Transformar nuestro mundo: la Agenda 2030 para el Desarrollo...
    • Python. Welcome to Python. Accessed 14 November. 2023. https://bit.ly/3SqHpi3
    • ¿Qué es un coliving? Accessed 14 November. 2022. https://bit.ly/3S5MRpg
    • Rufai, S. R., & Bunce, C. (2020). World leaders’ usage of Twitter in response to the COVID-19 pandemic: a content analysis. Journal of...
    • Salas Rueda, R. A. (2023). Use of deep learning to analyze Facebook and Google classroom in the educational field. Pixel-Bit. Revista de Medios...
    • Schetsche, C., Jaume, L., Gago-Galvagno, L., & Elgier, A. (2021). Living in cohousing communities. Personality Traits and Trait Emotional...
    • Sinnenberg, L., Buttenheim, A. M., Padrez, K., Mancheno, C., Ungar, L., & Merchant, R. M. (2017). Twitter as a Tool for Health Research:...
    • Snscrape. Accessed 14 November. 2023. https://bit.ly/3OdXKUN.
    • Spinuzzi, C. (2012). Working Alone Together. Journal of Business and Technical Communication, 26(4), 399–441. https://doi.org/10.1177/1050651912444070
    • Swanson, K., Ravi, A., Saleh, S., Weia, B., Pleasants, E., & Arvisais-Anhalt, S. (2023). Effect of Recent Abortion Legislation on Twitter...
    • Tejada-Vera, B., & Kramarow, E. (2022). OVID-19 Mortality in Adults Aged 65 and Over: United States, 2020. NCHS Data Brief, 446, 4–4.
    • Twitter. Como twittear . Accessed 14 November. 2023. https://bit.ly/4aZp6Id.
    • Vogl, T., & Micek, G. (2023). Work-leisure concepts and tourism: studying the relationship between hybrid coworking spaces and the accommodation...
    • Wang, J., Hadjiri, K., Bennett, S., & Morris, D. (2020). The role of cohousing in social communication and sustainable living environments....
    • Waters-Lynch, J. M., Potts, J., Butcher, T., Dodson, J., & Hurley, J. (2016). Coworking: A Transdisciplinary Overview. SSRN Electronic...
    • Experiences of Older Adults Living in Canadian Cohousing Communities During the COVID-19 Pandemic. Journal of Aging and Environment, 1–3....
    • World Health Organization. (2023). National programmes for age-friendly cities and communities A guide (World Health Organization, Ed.). World...
    • Zhai, C., Velivelli, A., & Yu, B. (2004). A cross-collection mixture model for comparative text mining. Proceedings of the Tenth ACM SIGKDD...
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