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Spatial, temporal, and socioeconomic patterns in the use of Twitter and Flickr / Linna Li in Cartography and Geographic Information Science, vol 40 n° 2 (March 2013)
[article]
Titre : Spatial, temporal, and socioeconomic patterns in the use of Twitter and Flickr Type de document : Article/Communication Auteurs : Linna Li, Auteur ; Michael F. Goodchild, Auteur ; Bo Xu, Auteur Année de publication : 2013 Article en page(s) : pp 61 - 77 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Analyse spatiale
[Termes IGN] analyse de données
[Termes IGN] analyse socio-économique
[Termes IGN] analyse spatiale
[Termes IGN] Californie (Etats-Unis)
[Termes IGN] données localisées des bénévoles
[Termes IGN] Etats-Unis
[Termes IGN] partage de données localisées
[Termes IGN] réseau social
[Termes IGN] TwitterRésumé : (Auteur) Online social networking and information sharing services have generated large volumes of spatio-temporal footprints, which are potentially a valuable source of knowledge about the physical environment and social phenomena. However, it is critical to take into consideration the uneven distribution of the data generated in social media in order to understand the nature of such data and to use them appropriately. The distribution of footprints and the characteristics of contributors indicate the quantity, quality, and type of the data. Using georeferenced tweets and photos collected from Twitter and Flickr, this research presents the spatial and temporal patterns of such crowd-sourced geographic data in the contiguous United States and explores the socioeconomic characteristics of geographic data creators by investigating the relationships between tweet and photo densities and the characteristics of local people using California as a case study. Correlations between dependent and independent variables in partial least squares regression suggest that well-educated people in the occupations of management, business, science, and arts are more likely to be involved in the generation of georeferenced tweets and photos. Further research is required to explain why some people tend to produce and spread information over the Internet using social media from the perspectives of psychology and sociology. This study would be informative to sociologists who study the behaviors of social media users, geographers who are interested in the spatial and temporal distribution of social media users, marketing agencies who intend to understand the influence of social media, and other scientists who use social media data in their research. Numéro de notice : A2013-743 Affiliation des auteurs : non IGN Thématique : GEOMATIQUE/SOCIETE NUMERIQUE Nature : Article DOI : 10.1080/15230406.2013.777139 En ligne : https://doi.org/10.1080/15230406.2013.777139 Format de la ressource électronique : url Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=32879
in Cartography and Geographic Information Science > vol 40 n° 2 (March 2013) . - pp 61 - 77[article]Réservation
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Code-barres Cote Support Localisation Section Disponibilité 032-2013021 RAB Revue Centre de documentation En réserve L003 Disponible #Earthquake: Twitter as a distributed sensor system / Andrew Crooks in Transactions in GIS, vol 17 n° 1 (February 2013)
[article]
Titre : #Earthquake: Twitter as a distributed sensor system Type de document : Article/Communication Auteurs : Andrew Crooks, Auteur ; Arie Croitoru, Auteur ; et al., Auteur Année de publication : 2013 Article en page(s) : pp 124 - 147 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Géomatique web
[Termes IGN] acquisition de données
[Termes IGN] capteur non-imageur
[Termes IGN] contenu généré par les utilisateurs
[Termes IGN] diffusion de l'information
[Termes IGN] épicentre
[Termes IGN] Etats-Unis
[Termes IGN] production participative
[Termes IGN] séisme
[Termes IGN] surveillance géologique
[Termes IGN] TwitterRésumé : (Auteur) Social media feeds are rapidly emerging as a novel avenue for the contribution and dissemination of information that is often geographic. Their content often includes references to events occurring at, or affecting specific locations. Within this article, we analyze the spatial and temporal characteristics of the twitter feed activity responding to a 5.8 magnitude earthquake which occurred on the East Coast of the United States (US) on August 23, 2011. We argue that these feeds represent a hybrid form of a sensor system that allows for the identification and localization of the impact area of the event. By contrasting this with comparable content collected through the dedicated crowdsourcing ‘Did You Feel It?’ (DYFI) website of the U.S. Geological Survey we assess the potential of the use of harvested social media content for event monitoring. The experiments support the notion that people act as sensors to give us comparable results in a timely manner, and can complement other sources of data to enhance our situational awareness and improve our understanding and response to such events. Numéro de notice : A2013-044 Affiliation des auteurs : non IGN Thématique : GEOMATIQUE/SOCIETE NUMERIQUE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1111/j.1467-9671.2012.01359.x Date de publication en ligne : 09/10/2012 En ligne : https://doi.org/10.1111/j.1467-9671.2012.01359.x Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=32182
in Transactions in GIS > vol 17 n° 1 (February 2013) . - pp 124 - 147[article]