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 [Exploring social trends in cohousing and coliving discussions on X(Twitter) using NLP and Text Analysis Techniques]

Sosa Ramírez, R., Vázquez Cano, E., Díaz-Díaz, N., & López-Meneses, E. (2024). Exploring social trends in cohousing and coliving discussions on X(Twitter) using NLP and Text Analysis Techniques. Pixel-Bit. Media and Education Journal, 71, 25–41. https://doi.org/10.12795/pixelbit.107991

Abstract

The research analyses trends and variations in discussions related to cohousing and coliving in the X Social Network (formerly known as Twitter) between 2019 and 2022. Employing advanced text network analysis techniques, the research uses Python and Snscrape for text pre-processing, followed by network graph construction and community detection. The study employs Latent Dirichlet Allocation (LDA) models to identify the topics of discussion in tweets and calculates the tf-idf of bigrams within 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 landscape of cohousing conversations, highlighting the pivotal role of cohousing models in addressing contemporary challenge

https://doi.org/10.12795/pixelbit.107991

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References

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, 3(4–5), 993–1022.

Blondel, V. D., Guillaume, J. L., Lambiotte, R., & Lefebvre, E. (2008). Fast unfolding of communities in large networks. Journal of Statistical Mechanics: Theory and Experiment, 10 , P10008.

Bouncken, R. (2018). University coworking-spaces: mechanisms, examples, and suggestions for entrepreneurial universities. Int. J. Technology Management, 77, 38–56.

Bruni, E., Tran, N. K., & Baroni, M. (2014). Multimodal Distributional Semantics. Journal of Artificial Intelligence Research, 49, 1–47. https://doi.org/10.1613/jair.4135

Budanitsky, A., & Hirst, G. (2006). Evaluating WordNet-based Measures of Lexical Semantic Relatedness. Computational Linguistics, 32(1), 13–47. https://doi.org/10.1162/coli.2006.32.1.13 Bullinaria, J. A., & Levy, J. P. (2012). Extracting semantic representations from word co-occurrence

statistics: stop-lists, stemming, and SVD. Behavior Research Methods, 44(3), 890–907. https://doi.org/10.3758/s13428-011-0183-8

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.), Information and Communication Technologies in Tourism 2021 (pp. 202–209). Springer International Publishing. https://doi.org/10.1007/978-3-030-65785- 7_17

Chou, K.-L., Liang, K., & Sareen, J. (2011). La asociación entre el aislamiento social y los trastornos del estado de ánimo, la ansiedad y el uso de sustancias del DSM-IV : segunda ola de la Encuesta epidemiológica nacional sobre el alcohol y afecciones relacionadas. The Journal of Clinical Psychiatry, 72(11), 1468–1476. https://doi.org/10.4088/JCP.10m06019gry

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 y a ser incluido en la comunidad CRPD/C/GC/5. Accessed 14 November. 2022 https://bit.ly/48YLAqQ.

Concepción, J. D., López Meneses, E., Vázquez Cano, E., & Crespo-Ramos, S. (2022). Implication of previous training and personal and academic habits of use of the Internet in the development of different blocks of basic digital 2.0 competencies in university students. IJERI: International Journal of Educational Research and Innovation, 18, 18–46. https://doi.org/10.46661/ijeri.6337.

Coliving.com. Coliving es mejor Encuentre casas coliving flexibles, cómodas y asequibles con amigos incluidos. Accessed 14 November. 2022 https://bit.ly/48Z2K7I.

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 With Health Span and Life Span in the U.S. Health and Retirement Study. The Journals of Gerontology: Series A, 76(11), 1997–2006. https://doi.org/10.1093/gerona/glab128

De Molina Benavides, L., & Valero Ramos, E. (2021a). La vivienda colaborativa en la era digital como proceso sostenible. Dearq, 31, 21–31. https://doi.org/10.18389/dearq31.2021.03

De Vos, E., & Spoormans, L. (2022). Collective Housing in Belgium and the Netherlands: A Comparative Analysis. Urban Planning, 7(1), 336–348. https://doi.org/10.17645/up.v7i1.4750

Etxezarreta, A., & Merino, S. (2014). Las cooperativas de vivienda como alternativa al problema de la vivienda en la actual crisis económica. REVESCO. Revista de Estudios Cooperativos, 113(0), 92–119. https://doi.org/10.5209/rev_REVE.2014.v113.43382

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 Knowledge Engineering Review, 32, e10. https://doi.org/10.1017/S0269888917000029

Fromm, D. (1991). Collaborative Communities: Cohousing, Central Living, and Other New Forms of Housing with Shared Facilities (Van Nostrand Reinhold, Ed.; 1st ed.). Van Nostrand Reinhold.

Gneiting, T., & Schlather, M. (2004). Stochastic Models That Separate Fractal Dimension and the Hurst Effect. SIAM Review, 46(2), 269–282. https://doi.org/10.1137/S0036144501394387

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: a two-contexts scoping review. Housing Studies, 1–24. https://doi.org/10.1080/02673037.2022.2157801

Gummà, E., & Castilla, M. R. (2017). Cohousing de personas mayores. Un recurso residencial emergente. Documentos de Trabajo Social, 59, 52–54.

Harris, R. G. (2001). The knowledge-based economy: intellectual origins and new economic perspectives. International Journal of Management Reviews, 3(1), 21–40. https://doi.org/10.1111/1468-2370.00052

Hassan Shah, S. H., Noor, S., Saleem Butt, A., & Halepoto, H. (2021). Twitter Research Synthesis for Health Promotion: A Bibliometric Analysis. Iranian Journal of Public Health, 50(11), 2283–2291. https://doi.org/10.18502/ijph.v50i11.7584

Heinrich, L. M., & Gullone, E. (2006). The clinical significance of loneliness: A literature review.

Clinical Psychology Review, 26(6), 695–718. https://doi.org/10.1016/j.cpr.2006.04.002

Horelli, L., & Vepsä, K. (1994). In Search of Supportive Structures for Everyday Life. In Women and the Environment (Vol. 13, pp. 201–226). Springer US. https://doi.org/10.1007/978-1-4899-1504- 7_8

Hou, S.-I., & Cao, X. (2021). Promising Aging in Community Models in the U.S.: Village, Naturally Occurring Retirement Community (NORC), Cohousing, and University-Based Retirement Community (UBRC). Gerontology and Geriatric Medicine, 7, 1–15. https://doi.org/10.1177/23337214211015451

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 long-term care homes – ongoing challenges and policy responses. Nternational Long-Term Care Policy Network. https://bit.ly/423tm5n

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.). Routledge.

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 in coworking. Scandinavian Journal of Management, 33(4), 235–242. https://doi.org/10.1016/j.scaman.2017.10.003

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 Review, 114(1), 1–37. https://doi.org/10.1037/0033- 295X.114.1.1

Koller, J. M., Hutchings, B. L., & Zabotka, J. (2023). Older Adult Residents in Cohousing Communities: Impact and Response to the COVID-19 Pandemic, Part 2 (P2) Follow-Up Study. Journal of Aging and Environment, 1–19. https://doi.org/10.1080/26892618.2022.2161031

Kraaijeveld, O., & De Smedt, J. (2020). The predictive power of public Twitter sentiment for forecasting cryptocurrency prices. Journal of International Financial Markets, Institutions and Money, 65, 101188. https://doi.org/10.1016/j.intfin.2020.101188

Lilac. Living Affordable Community. Accessed 14 November. 2022. https://bit.ly/3O6O3Hx. Mahmood, A., Seetharaman, K., Jenkins, H.-T., & Chaudhury, H. (2022). Contextualizing Innovative

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 of a New Millennium: Lessons and␣ Perspectives, Proceedings of the 7th International Communal Studies Conference.

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 Use of Digital Technologies. In C. Springer (Ed.), Transforming Digital Worlds. iConference 2018. Apuntes de conferencias sobre informática (pp. 207–217). https://doi.org/10.1007/978-3-319-78105-1_25

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. https://doi.org/10.1080/02673037.2019.1636938 Newman, M. E. J. (2004). Analysis of weighted networks. Physical Review E, 70(5), 1–9.

https://doi.org/10.1103/PhysRevE.70.056131

ONU. (2015). Resolución aprobada por la Asamblea General el 25 de septiembre de 2015. Transformar nuestro mundo: la Agenda 2030 para el Desarrollo Sostenible. Accessed 14 November. 2023. https://bit.ly/3Hq5vmC

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 Public Health, 42(3), 510–516. https://doi.org/10.1093/pubmed/fdaa049

Salas Rueda, R. A. (2023). Use of deep learning to analyze Facebook and Google classroom in the educational field. Pixel-Bit. Revista de Medios y Educación, 67, 87-122. https://doi.org/10.12795/pixelbit.96994

Schetsche, C., Jaume, L., Gago-Galvagno, L., & Elgier, A. (2021). Living in cohousing communities. Personality Traits and Trait Emotional Intelligence. European Journal of Mental Health, 16, 170–183.

Sinnenberg, L., Buttenheim, A. M., Padrez, K., Mancheno, C., Ungar, L., & Merchant, R. M. (2017). Twitter as a Tool for Health Research: A Systematic Review. American Journal of Public Health, 107(1), 1–8. https://doi.org/10.2105/AJPH.2016.303512

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 User Engagement, Sentiment, and Expressions of Trust in Clinicians and Privacy of Health Information: Content Analysis. Journal of Medical Internet Research, 25, 1–14. https://doi.org/10.2196/46655

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 industry in peripheral areas of Germany. World Leisure Journal, 65(2), 276–298. https://doi.org/10.1080/16078055.2023.2208081

Wang, J., Hadjiri, K., Bennett, S., & Morris, D. (2020). The role of cohousing in social communication and sustainable living environments. WIT Transactions on The Built Environment, 193, 2–3.

Waters-Lynch, J. M., Potts, J., Butcher, T., Dodson, J., & Hurley, J. (2016). Coworking: A Transdisciplinary Overview. SSRN Electronic Journal, 1–58. https://doi.org/10.2139/ssrn.2712217 Weeks, L. E., Bigonnesse, C., Rupasinghe, V., Haché-Chiasson, A., Dupuis-Blanchard, S., Harman, K., McInnis-Perry, G., Paris, M., Puplampu, V., & Critchlow, M. (2022). The Best Place to Be?

Experiences of Older Adults Living in Canadian Cohousing Communities During the COVID-19 Pandemic. Journal of Aging and Environment, 1–3. https://doi.org/10.1080/26892618.2022.2106528

World Health Organization. (2023). National programmes for age-friendly cities and communities A guide (World Health Organization, Ed.). World Health Organization.

Zhai, C., Velivelli, A., & Yu, B. (2004). A cross-collection mixture model for comparative text mining. Proceedings of the Tenth ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 743–748. https://doi.org/10.1145/1014052.1014150

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