{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,6,27]],"date-time":"2026-06-27T08:38:30Z","timestamp":1782549510047,"version":"3.54.5"},"reference-count":79,"publisher":"MDPI AG","issue":"11","license":[{"start":{"date-parts":[[2021,11,3]],"date-time":"2021-11-03T00:00:00Z","timestamp":1635897600000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"funder":[{"DOI":"10.13039\/501100016386","name":"Conselleria de Innovaci\u00f3n, Universidades, Ciencia y Sociedad Digital, Generalitat Valenciana","doi-asserted-by":"publisher","award":["GV\/2021\/177"],"award-info":[{"award-number":["GV\/2021\/177"]}],"id":[{"id":"10.13039\/501100016386","id-type":"DOI","asserted-by":"publisher"}]},{"name":"Conselleria de Innovaci\u00f3n, Universidades, Ciencia y Sociedad Digital, Generalitat Valenciana and European Social Fund","award":["ACIF\/2020\/173"],"award-info":[{"award-number":["ACIF\/2020\/173"]}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IJGI"],"abstract":"<jats:p>This research sheds light on the relationship between the presence of location-based social network (LBSN) data and other economic and demographic variables in the city of Valencia (Spain). For that purpose, a comparison is made between location patterns of geolocated data from various social networks (i.e., Google Places, Foursquare, Twitter, Airbnb and Idealista) and statistical information such as land value, average gross income, and population distribution by age range. The main findings show that there is no direct relationship between land value or age of registered population and the amount of social network data generated in a given area. However, a noteworthy coincidence was observed between Google Places data-clustering patterns, which represent the offer of economic activities, and the spatial concentration of the other LBSNs analyzed, suggesting that data from these sources are mostly generated in areas with a high density of economic activities.<\/jats:p>","DOI":"10.3390\/ijgi10110747","type":"journal-article","created":{"date-parts":[[2021,11,3]],"date-time":"2021-11-03T17:59:38Z","timestamp":1635962378000},"page":"747","update-policy":"https:\/\/doi.org\/10.3390\/mdpi_crossmark_policy","source":"Crossref","is-referenced-by-count":27,"title":["The Geography of Social Media Data in Urban Areas: Representativeness and Complementarity"],"prefix":"10.3390","volume":"10","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-2335-961X","authenticated-orcid":false,"given":"\u00c1lvaro","family":"Bernabeu-Bautista","sequence":"first","affiliation":[{"name":"Building Sciences and Urbanism Department, University of Alicante, Carretera de San Vicente del Raspeig s\/n, San Vicente del Raspeig, 03690 Alicante, Spain"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-7466-1974","authenticated-orcid":false,"given":"Leticia","family":"Serrano-Estrada","sequence":"additional","affiliation":[{"name":"Building Sciences and Urbanism Department, University of Alicante, Carretera de San Vicente del Raspeig s\/n, San Vicente del Raspeig, 03690 Alicante, Spain"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-1045-3671","authenticated-orcid":false,"given":"V. Raul","family":"Perez-Sanchez","sequence":"additional","affiliation":[{"name":"Building Sciences and Urbanism Department, University of Alicante, Carretera de San Vicente del Raspeig s\/n, San Vicente del Raspeig, 03690 Alicante, Spain"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-6877-784X","authenticated-orcid":false,"given":"Pablo","family":"Mart\u00ed","sequence":"additional","affiliation":[{"name":"Building Sciences and Urbanism Department, University of Alicante, Carretera de San Vicente del Raspeig s\/n, San Vicente del Raspeig, 03690 Alicante, Spain"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"1968","published-online":{"date-parts":[[2021,11,3]]},"reference":[{"key":"ref_1","doi-asserted-by":"crossref","first-page":"161","DOI":"10.1016\/j.compenvurbsys.2018.11.001","article-title":"Social Media data: Challenges, opportunities and limitations in urban studies","volume":"74","year":"2019","journal-title":"Comput. Environ. Urban Syst."},{"key":"ref_2","first-page":"1335","article-title":"Social Media Big Data Acquisition and Analysis for Qualitative GIScience: Challenges and Opportunities","volume":"110","author":"Martin","year":"2020","journal-title":"Ann. Am. Assoc. Geogr."},{"key":"ref_3","doi-asserted-by":"crossref","first-page":"3","DOI":"10.1109\/MIS.2020.3009438","article-title":"Location-Centric Social Media Analytics: Challenges and Opportunities for Smart Cities","volume":"36","author":"Yang","year":"2020","journal-title":"IEEE Intell. Syst."},{"key":"ref_4","doi-asserted-by":"crossref","first-page":"102859","DOI":"10.1016\/j.cities.2020.102859","article-title":"Consumption and symbolic capital in the metropolitan space: Integrating \u2018old\u2019 retail data sources with social big data","volume":"106","year":"2020","journal-title":"Cities"},{"key":"ref_5","doi-asserted-by":"crossref","first-page":"102005","DOI":"10.1016\/j.habitatint.2019.102005","article-title":"Identifying urban spatial structure and urban vibrancy in highly dense cities using georeferenced social media data","volume":"89","author":"Chen","year":"2019","journal-title":"Habitat Int."},{"key":"ref_6","doi-asserted-by":"crossref","unstructured":"Ebrahimpour, Z., Wan, W., Vel\u00e1zquez Garc\u00eda, J.L., Cervantes, O., and Hou, L. (2020). Analyzing Social-Geographic Human Mobility Patterns Using Large-Scale Social Media Data. ISPRS Int. J. Geo-Inf., 9.","DOI":"10.3390\/ijgi9020125"},{"key":"ref_7","doi-asserted-by":"crossref","unstructured":"Sloan, L., and Quan-Haase, A. (2017). Small Data, Thick Data: Thickening Strategies for Research, Trace-based Social Media. The SAGE Handbook of Social Media Research Methods, SAGE Publications Ltd.","DOI":"10.4135\/9781473983847"},{"key":"ref_8","doi-asserted-by":"crossref","first-page":"125","DOI":"10.1111\/gean.12149","article-title":"Fast Food Data: Where User-Generated Content Works and Where It Does Not","volume":"50","author":"Folch","year":"2018","journal-title":"Geogr. Anal."},{"key":"ref_9","first-page":"462","article-title":"The Missing Parts from Social Media\u2013Enabled Smart Cities: Who, Where, When, and What?","volume":"110","author":"Yuan","year":"2020","journal-title":"Ann. Am. Assoc. Geogr."},{"key":"ref_10","unstructured":"Fekete, E. (2017). Foursquare in the city of fountains: Using Kansas city as a case study for combining demographic and social media data. Thinking Big Data in Geography: New Regimes, New Research, University of Nebraska Press."},{"key":"ref_11","doi-asserted-by":"crossref","unstructured":"Santani, D., and Gatica-Perez, D. (2013, January 22). Speaking swiss: Languages and venues in foursquare. Proceedings of the MM 2013\u20142013 ACM Multimedia Conference, Barcelona, Spain.","DOI":"10.1145\/2502081.2502133"},{"key":"ref_12","doi-asserted-by":"crossref","first-page":"49","DOI":"10.1016\/j.tele.2019.01.001","article-title":"Uncovering the relationship between point-of-interests-related human mobility and socioeconomic status","volume":"39","author":"Li","year":"2019","journal-title":"Telemat. Inform."},{"key":"ref_13","doi-asserted-by":"crossref","first-page":"135","DOI":"10.15196\/RS07108","article-title":"A socio-economic analysis of Airbnb in New York City","volume":"7","author":"Vida","year":"2017","journal-title":"Reg. Stat."},{"key":"ref_14","doi-asserted-by":"crossref","first-page":"465","DOI":"10.1068\/a130122p","article-title":"The geotemporal demographics of Twitter usage","volume":"47","author":"Longley","year":"2015","journal-title":"Environ. Plan. A"},{"key":"ref_15","first-page":"33","article-title":"Urban Social Media Demographics: An Exploration of Twitter Use in Major American Cities","volume":"21","author":"Murthy","year":"2016","journal-title":"J. Comput. Commun."},{"key":"ref_16","doi-asserted-by":"crossref","first-page":"228","DOI":"10.1080\/15230406.2018.1434834","article-title":"Understanding demographic and socioeconomic biases of geotagged Twitter users at the county level","volume":"46","author":"Jiang","year":"2019","journal-title":"Cartogr. Geogr. Inf. Sci."},{"key":"ref_17","unstructured":"Lerman, K., Arora, M., Gallegos, L., Kumaraguru, P., and Garcia, D. (2016, January 17\u201320). Emotions, demographics and sociability in Twitter interactions. Proceedings of the 10th International Conference on Web and Social Media, ICWSM 2016, Cologne, Germany."},{"key":"ref_18","doi-asserted-by":"crossref","unstructured":"White, R., Engelen, G., and Uljee, I. (2015). Modeling Cities and Regions as Complex Systems, MIT Press.","DOI":"10.7551\/mitpress\/9780262029568.001.0001"},{"key":"ref_19","doi-asserted-by":"crossref","first-page":"191","DOI":"10.1590\/S0034-89102005000200008","article-title":"Homic\u00eddios e desigualdades sociais no Munic\u00edpio de S\u00e3o Paulo","volume":"39","year":"2005","journal-title":"Rev. Saude Publica"},{"key":"ref_20","doi-asserted-by":"crossref","first-page":"210","DOI":"10.1016\/j.tra.2014.10.007","article-title":"Walking short distances. The socioeconomic drivers for the use of proximity in everyday mobility in Barcelona","volume":"70","author":"Marquet","year":"2014","journal-title":"Transp. Res. Part A Policy Pract."},{"key":"ref_21","doi-asserted-by":"crossref","unstructured":"Grujic, N., Brdar, S., Novovic, O., Govedarica, M., and Crnojevic, V. (2019, January 26\u201327). Evidence of urban segregation from mobile phone data: A case study of Novi Sad. Proceedings of the 27th Telecommunications Forum, TELFOR 2019, Belgrade, Serbia.","DOI":"10.1109\/TELFOR48224.2019.8971290"},{"key":"ref_22","doi-asserted-by":"crossref","first-page":"101428","DOI":"10.1016\/j.compenvurbsys.2019.101428","article-title":"Portraying the spatial dynamics of urban vibrancy using multisource urban big data","volume":"80","author":"Tu","year":"2020","journal-title":"Comput. Environ. Urban Syst."},{"key":"ref_23","doi-asserted-by":"crossref","unstructured":"Frias-Martinez, V., and Virseda, J. (2012). On the relationship between socio-economic factors and cell phone usage. ACM International Conference Proceeding Series, ACM Press.","DOI":"10.1145\/2160673.2160684"},{"key":"ref_24","doi-asserted-by":"crossref","unstructured":"Yardi, S., and Bruckman, A. (2012). Income, race, and class: Exploring socioeconomic differences in family technology use. Conference on Human Factors in Computing Systems\u2014Proceedings, ACM Press.","DOI":"10.1145\/2207676.2208716"},{"key":"ref_25","first-page":"65","article-title":"Comparing the Determinants of Internet and Cell Phone Use in Africa: Evidence from Gabon","volume":"1","author":"Penard","year":"2012","journal-title":"Commun. Strateg."},{"key":"ref_26","doi-asserted-by":"crossref","first-page":"15888","DOI":"10.1073\/pnas.1408439111","article-title":"Dynamic population mapping using mobile phone data","volume":"111","author":"Deville","year":"2014","journal-title":"Proc. Natl. Acad. Sci. USA"},{"key":"ref_27","doi-asserted-by":"crossref","first-page":"435","DOI":"10.1016\/j.pmcj.2010.01.003","article-title":"Mobility profiler: A framework for discovering mobility profiles of cell phone users","volume":"6","author":"Bayir","year":"2010","journal-title":"Pervasive Mob. Comput."},{"key":"ref_28","doi-asserted-by":"crossref","first-page":"2466","DOI":"10.1109\/TITS.2016.2521830","article-title":"Inferring Passenger Travel Demand to Improve Urban Mobility in Developing Countries Using Cell Phone Data: A Case Study of Senegal","volume":"17","author":"Demissie","year":"2016","journal-title":"IEEE Trans. Intell. Transp. Syst."},{"key":"ref_29","doi-asserted-by":"crossref","unstructured":"Smoreda, Z., Olteanu-Raimond, A.-M., and Couronn\u00e9, T. (2013). Spatiotemporal Data from Mobile Phones for Personal Mobility Assessment. Transport Survey Methods: Best Practice for Decision Making, Emerald Group Publishing Ltd.","DOI":"10.1108\/9781781902882-041"},{"key":"ref_30","first-page":"247","article-title":"Nuevas fuentes y retos para el estudio de la movilidad urbana","volume":"56","year":"2017","journal-title":"Cuad. Geogr\u00e1ficos"},{"key":"ref_31","doi-asserted-by":"crossref","first-page":"165","DOI":"10.1016\/j.cities.2018.11.016","article-title":"Analyzing housing prices in Shanghai with open data: Amenity, accessibility and urban structure","volume":"91","author":"Li","year":"2019","journal-title":"Cities"},{"key":"ref_32","doi-asserted-by":"crossref","unstructured":"Ye, Y., Xie, H., Fang, J., Jiang, H., and Wang, D. (2019). Daily Accessed Street Greenery and Housing Price: Measuring Economic Performance of Human-Scale Streetscapes via New Urban Data. Sustainability, 11.","DOI":"10.3390\/su11061741"},{"key":"ref_33","doi-asserted-by":"crossref","first-page":"9","DOI":"10.1016\/j.cities.2016.03.013","article-title":"Urban function connectivity: Characterisation of functional urban streets with social media check-in data","volume":"55","author":"Shen","year":"2016","journal-title":"Cities"},{"key":"ref_34","doi-asserted-by":"crossref","first-page":"880","DOI":"10.1111\/tgis.12600","article-title":"Los Angeles as a digital place: The geographies of user-generated content","volume":"24","author":"Ballatore","year":"2020","journal-title":"Trans. GIS"},{"key":"ref_35","doi-asserted-by":"crossref","unstructured":"Rizwan, M., Wanggen, W., and Gwiazdzinski, L. (2020). Visualization, Spatiotemporal Patterns, and Directional Analysis of Urban Activities Using Geolocation Data Extracted from LBSN. ISPRS Int. J. Geo-Inf., 9.","DOI":"10.3390\/ijgi9020137"},{"key":"ref_36","doi-asserted-by":"crossref","unstructured":"Muhammad, R., Zhao, Y., and Liu, F. (2019). Spatiotemporal Analysis to Observe Gender Based Check-In Behavior by Using Social Media Big Data: A Case Study of Guangzhou, China. Sustainability, 11.","DOI":"10.3390\/su11102822"},{"key":"ref_37","doi-asserted-by":"crossref","first-page":"198","DOI":"10.1016\/j.landurbplan.2015.02.020","article-title":"Social media and the city: Rethinking urban socio-spatial inequality using user-generated geographic information","volume":"142","author":"Shelton","year":"2015","journal-title":"Landsc. Urban Plan."},{"key":"ref_38","doi-asserted-by":"crossref","first-page":"106544","DOI":"10.1016\/j.chb.2020.106544","article-title":"The rural\u2013urban stress divide: Obtaining geographical insights through Twitter","volume":"114","author":"Jaidka","year":"2020","journal-title":"Comput. Human Behav."},{"key":"ref_39","doi-asserted-by":"crossref","first-page":"13","DOI":"10.1016\/j.tourman.2017.11.001","article-title":"Tourists\u2019 digital footprint in cities: Comparing Big Data sources","volume":"66","year":"2018","journal-title":"Tour. Manag."},{"key":"ref_40","doi-asserted-by":"crossref","unstructured":"Blanford, J.I., Huang, Z., Savelyev, A., and MacEachren, A.M. (2015). Geo-located tweets. Enhancing mobility maps and capturing cross-border movement. PLoS ONE, 10.","DOI":"10.1371\/journal.pone.0129202"},{"key":"ref_41","doi-asserted-by":"crossref","first-page":"741","DOI":"10.1177\/0002764217717559","article-title":"Representativeness of Social Media in Great Britain: Investigating Facebook, LinkedIn, Twitter, Pinterest, Google+, and Instagram","volume":"61","author":"Blank","year":"2017","journal-title":"Am. Behav. Sci."},{"key":"ref_42","doi-asserted-by":"crossref","first-page":"723","DOI":"10.5198\/jtlu.2019.1470","article-title":"Using location-based social network data for activity intensity analysis","volume":"12","author":"Laman","year":"2019","journal-title":"J. Transp. Land Use"},{"key":"ref_43","unstructured":"Hu, W. (2019). Dynamic Origin Destination Estimation with Location-Based, The state University of New Jersey."},{"key":"ref_44","doi-asserted-by":"crossref","unstructured":"Khan, N.U., Wan, W., and Yu, S. (2020). Location-Based Social Network\u2019s Data Analysis and Spatio-Temporal Modeling for the Mega City of Shanghai, China. ISPRS Int. J. Geo-Inf., 9.","DOI":"10.3390\/ijgi9020076"},{"key":"ref_45","doi-asserted-by":"crossref","first-page":"278","DOI":"10.1016\/j.tourman.2017.05.003","article-title":"The eruption of Airbnb in tourist cities: Comparing spatial patterns of hotels and peer-to-peer accommodation in Barcelona","volume":"62","author":"Romanillos","year":"2017","journal-title":"Tour. Manag."},{"key":"ref_46","unstructured":"Instituto Nacional de Estad\u00edstica Padr\u00f3n (2021, September 28). Poblaci\u00f3n por Municipios. Available online: https:\/\/www.ine.es\/dyngs\/INEbase\/categoria.htm?c=Estadistica_P&cid=1254734710990."},{"key":"ref_47","unstructured":"OECD (2020, August 11). Stat- Metropolitan Areas, Available online: https:\/\/stats.oecd.org\/."},{"key":"ref_48","unstructured":"(2021, September 28). GaWC\u2014Globalization and World Cities Research Network the World According to GaWC. Available online: https:\/\/www.lboro.ac.uk\/gawc\/."},{"key":"ref_49","doi-asserted-by":"crossref","unstructured":"Gil-Alonso, F., L\u00f3pez-Villanueva, C., Bayona-i-Carrasco, J., and Pujadas, I. (2021). Towards an Even More Spatially Diversified City? New Metropolitan Population Trends in the Post-Economic Crisis Period. Urban Sci., 5.","DOI":"10.3390\/urbansci5020041"},{"key":"ref_50","doi-asserted-by":"crossref","unstructured":"Guadalajara, N., L\u00f3pez, M.\u00c1., Iftimi, A., and Usai, A. (2021). Influence of the cadastral value of the urban land and neighborhood characteristics on the mean house mortgage appraisal. Land, 10.","DOI":"10.3390\/land10030250"},{"key":"ref_51","doi-asserted-by":"crossref","first-page":"71","DOI":"10.1016\/j.apgeog.2014.09.005","article-title":"Beyond urban\u2013rural dichotomy: Exploring socioeconomic and land-use processes of change in Spain (1991\u20132011)","volume":"55","author":"Serra","year":"2014","journal-title":"Appl. Geogr."},{"key":"ref_52","unstructured":"Instituto Nacional de Estad\u00edstica (2021, September 28). Encuesta de Ocupaci\u00f3n Hotelera, Available online: https:\/\/www.ine.es\/dynt3\/inebase\/es\/index.htm?padre=238&dh=1."},{"key":"ref_53","unstructured":"Instituto Nacional de Estad\u00edstica (2021, September 28). Encuesta de Ocupaci\u00f3n de Alojamientos Tur\u00edsticos, Available online: https:\/\/www.ine.es\/dyngs\/INEbase\/es\/operacion.htm?c=Estadistica_C&cid=1254736176962&menu=ultiDatos&idp=1254735576863."},{"key":"ref_54","doi-asserted-by":"crossref","unstructured":"Adamiak, C., Szyda, B., Dubownik, A., and Garc\u00eda-\u00c1lvarez, D. (2019). Airbnb Offer in Spain\u2014Spatial Analysis of the Pattern and Determinants of Its Distribution. ISPRS Int. J. Geo-Inf., 8.","DOI":"10.3390\/ijgi8030155"},{"key":"ref_55","doi-asserted-by":"crossref","first-page":"361","DOI":"10.1108\/IJTC-03-2020-0041","article-title":"The Airbnb effect on areas subject to urban renewal in Valencia (Spain)","volume":"7","year":"2021","journal-title":"Int. J. Tour. Cities"},{"key":"ref_56","doi-asserted-by":"crossref","unstructured":"Nieuwland, S., and del Romero Renau, L. (2021). The impact and regulatory issues of Airbnb in a mid-sized city: Valencia (Spain). A Modern Guide to the Urban Sharing Economy, Edward Elgar Publishing.","DOI":"10.4337\/9781789909562.00015"},{"key":"ref_57","unstructured":"IAB (2020). Estudio Anual Redes Sociales 2020, IAB Spain."},{"key":"ref_58","unstructured":"(2021, September 28). The Social Media Family. VI Estudio sobre los Usuarios de Facebook, Twitter e Instagram en Espa\u00f1a. Available online: https:\/\/www.amic.media\/media\/files\/file_352_2282.pdf."},{"key":"ref_59","first-page":"2464","article-title":"Geolocalized tweets for assessing daily mobility: Methodology to analyse and detect homelocation in the urban area of Valencia","volume":"79","author":"Gallego","year":"2018","journal-title":"Bol. Asoc. Geogr. Esp."},{"key":"ref_60","unstructured":"(2021, September 28). E. Life Monitor. Uso de Foursquare en Espa\u00f1a. Available online: https:\/\/t-position.com\/el-uso-de-foursquare-en-espana-infografia\/."},{"key":"ref_61","unstructured":"(2021, June 10). AirDNA|Short-Term Rental Data & Analytics|Vrbo & Airbnb Data. Available online: https:\/\/www.airdna.co\/."},{"key":"ref_62","unstructured":"Hosteltur (2021, September 28). Las 8 Ciudades de Espa\u00f1a Donde m\u00e1s ha Crecido Airbnb|Hoteles y Alojamientos. Available online: https:\/\/www.hosteltur.com\/127379_8-ciudades-espana-donde-ha-crecido-airbnb.html."},{"key":"ref_63","doi-asserted-by":"crossref","first-page":"66","DOI":"10.1016\/j.cities.2017.02.007","article-title":"Using locative social media and urban cartographies to identify and locate successful urban plazas","volume":"64","year":"2017","journal-title":"Cities"},{"key":"ref_64","doi-asserted-by":"crossref","first-page":"868","DOI":"10.1177\/0042098018779554","article-title":"Use and validation of location-based services in urban research: An example with Dutch restaurants","volume":"56","author":"Bakens","year":"2019","journal-title":"Urban Stud."},{"key":"ref_65","doi-asserted-by":"crossref","first-page":"191","DOI":"10.1016\/j.cities.2019.02.001","article-title":"Identifying opportunity places for urban regeneration through LBSNs","volume":"90","year":"2019","journal-title":"Cities"},{"key":"ref_66","doi-asserted-by":"crossref","first-page":"687","DOI":"10.1509\/jmr.15.0204","article-title":"The Rise of the Sharing Economy: Estimating the Impact of Airbnb on the Hotel Industry","volume":"54","author":"Zervas","year":"2017","journal-title":"J. Mark. Res."},{"key":"ref_67","doi-asserted-by":"crossref","unstructured":"Sans, A.A., and Quaglieri, A. (2016). Unravelling Airbnb: Urban perspectives from Barcelona. Reinventing the Local in Tourism: Producing, Consuming and Negotiating Place, Channel View Publications.","DOI":"10.21832\/9781845415709-015"},{"key":"ref_68","unstructured":"Dom\u00ednguez, M., and Vil\u00e0, G. (2013). Los centros urbanos de las grandes ciudades espa\u00f1olas: Una perspectiva demogr\u00e1fica y urban\u00edstica. Los casos de de Madrid y Barcelona. Actas del XI Congreso Espa\u00f1ol de Sociolog\u00eda, Universidad Complutense de Madrid."},{"key":"ref_69","unstructured":"Donat, C. (2017). El impacto desigual de la crisis inmobiliaria en los barrios de Barcelona: Un an\u00e1lisis a partir de los precios de las viviendas. Nuevos Escenarios Urbanos Nuevos Conflictos y Nuevas Pol\u00edticas. XIII Coloquio de Geograf\u00eda Urbana, Documenta Universitaria."},{"key":"ref_70","doi-asserted-by":"crossref","first-page":"310","DOI":"10.1016\/j.cities.2017.09.007","article-title":"City dynamics through Twitter: Relationships between land use and spatiotemporal demographics","volume":"72","year":"2018","journal-title":"Cities"},{"key":"ref_71","doi-asserted-by":"crossref","first-page":"268","DOI":"10.1016\/j.cities.2019.03.006","article-title":"Social media and urban mobility: Using twitter to calculate home-work travel matrices","volume":"89","year":"2019","journal-title":"Cities"},{"key":"ref_72","doi-asserted-by":"crossref","first-page":"68","DOI":"10.1109\/MC.2012.430","article-title":"Visual analysis of social media data","volume":"46","author":"Schreck","year":"2013","journal-title":"Computer"},{"key":"ref_73","doi-asserted-by":"crossref","unstructured":"Bernabeu-Bautista, \u00c1., Serrano-Estrada, L., and Mart\u00ed, P. (2021). Social Media Data Collection and Quality for Urban Studies. Principles of Social Networking. The New Horizon and Emerging Challenges, Springer.","DOI":"10.1007\/978-981-16-3398-0_11"},{"key":"ref_74","doi-asserted-by":"crossref","first-page":"1873","DOI":"10.1080\/13658816.2016.1145225","article-title":"Activity patterns, socioeconomic status and urban spatial structure: What can social media data tell us?","volume":"30","author":"Huang","year":"2016","journal-title":"Int. J. Geogr. Inf. Sci."},{"key":"ref_75","unstructured":"Instituto Geogr\u00e1fico Nacional (2019). Cap\u00edtulo 9. Sociedad. Espa\u00f1a en Mapas. Una S\u00edntesis Geogr\u00e1fica, Centro Nacional de Informaci\u00f3n Geogr\u00e1fica."},{"key":"ref_76","doi-asserted-by":"crossref","unstructured":"McMillan, D., Engstr\u00f6m, A., Lampinen, A., and Brown, B. (2016, January 7\u201312). Data and the city. Proceedings of the 2016 CHI Conference on Human Factors in Computing Systems, San Jose, CA, USA.","DOI":"10.1145\/2858036.2858434"},{"key":"ref_77","doi-asserted-by":"crossref","unstructured":"Offenhuber, D., and Ratti, C. (2015). Decoding the City: Urbanism in the Age of Big Data, Birkh\u00e4user.","DOI":"10.1515\/9783038213925"},{"key":"ref_78","doi-asserted-by":"crossref","unstructured":"Kovacs-gy\u00f6ri, A., Ristea, A., Havas, C., Mehaffy, M., Hochmair, H.H., Resch, B., Juhasz, L., Lehner, A., Ramasubramanian, L., and Blaschke, T. (2020). Opportunities and Challenges of Geospatial Analysis for Promoting Urban Livability in the Era of Big Data and Machine Learning. Int. J. Geo-Inf., 9.","DOI":"10.3390\/ijgi9120752"},{"key":"ref_79","doi-asserted-by":"crossref","first-page":"101597","DOI":"10.1016\/j.compenvurbsys.2021.101597","article-title":"Assessing the influence of point-of-interest features on the classification of place categories","volume":"86","author":"Milias","year":"2021","journal-title":"Comput. Environ. Urban Syst."}],"container-title":["ISPRS International Journal of Geo-Information"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/www.mdpi.com\/2220-9964\/10\/11\/747\/pdf","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,10,11]],"date-time":"2025-10-11T07:25:18Z","timestamp":1760167518000},"score":1,"resource":{"primary":{"URL":"https:\/\/www.mdpi.com\/2220-9964\/10\/11\/747"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2021,11,3]]},"references-count":79,"journal-issue":{"issue":"11","published-online":{"date-parts":[[2021,11]]}},"alternative-id":["ijgi10110747"],"URL":"https:\/\/doi.org\/10.3390\/ijgi10110747","relation":{},"ISSN":["2220-9964"],"issn-type":[{"value":"2220-9964","type":"electronic"}],"subject":[],"published":{"date-parts":[[2021,11,3]]}}}