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Geo-located community detection in Twitter with enhanced fast-greedy optimization of modularity: the case study of typhoon Haiyan / Mohamed Bakillah in International journal of geographical information science IJGIS, vol 29 n° 2 (February 2015)
[article]
Titre : Geo-located community detection in Twitter with enhanced fast-greedy optimization of modularity: the case study of typhoon Haiyan Type de document : Article/Communication Auteurs : Mohamed Bakillah, Auteur ; Ren-Yu Li, Auteur ; Steve H.L. Liang, Auteur Année de publication : 2015 Article en page(s) : pp 258 - 279 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Analyse spatiale
[Termes IGN] communauté virtuelle
[Termes IGN] données issues des réseaux sociaux
[Termes IGN] exploration de données géographiques
[Termes IGN] géopositionnement
[Termes IGN] risque naturel
[Termes IGN] TwitterRésumé : (Auteur) As they increase in popularity, social media are regarded as important sources of information on geographical phenomena. Studies have also shown that people rely on social media to communicate during disasters and emergency situation, and that the exchanged messages can be used to get an insight into the situation. Spatial data mining techniques are one way to extract relevant information from social media. In this article, our aim is to contribute to this field by investigating how graph clustering can be applied to support the detection of geo-located communities in Twitter in disaster situations. For this purpose, we have enhanced the fast-greedy optimization of modularity (FGM) clustering algorithm with semantic similarity so that it can deal with the complex social graphs extracted from Twitter. Then, we have coupled the enhanced FGM with the varied density-based spatial clustering of applications with noise spatial clustering algorithm to obtain spatial clusters at different temporal snapshots. The method was experimented with a case study on typhoon Haiyan in the Philippines, and Twitter’s different interaction modes were compared to create the graph of users and to detect communities. The experiments show that communities that are relevant to identify areas where disaster-related incidents were reported can be extracted, and that the enhanced algorithm outperforms the generic one in this task. Numéro de notice : A2015-579 Affiliation des auteurs : non IGN Thématique : GEOMATIQUE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1080/13658816.2014.964247 En ligne : http://www.tandfonline.com/doi/full/10.1080/13658816.2014.964247 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=77841
in International journal of geographical information science IJGIS > vol 29 n° 2 (February 2015) . - pp 258 - 279[article]Mapping social activities and concepts with social media (Twitter) and web search engines (Yahoo and Bing): a case study in 2012 US Presidential Election / Ming-Hsiang Tsou in Cartography and Geographic Information Science, vol 40 n° 4 (September 2013)
[article]
Titre : Mapping social activities and concepts with social media (Twitter) and web search engines (Yahoo and Bing): a case study in 2012 US Presidential Election Type de document : Article/Communication Auteurs : Ming-Hsiang Tsou, Auteur ; Jiue-An Yang, Auteur ; Brian Spitzberg, Auteur ; Jean Marc Gawron, Auteur ; Dipak Gupta, Auteur ; et al., Auteur Année de publication : 2013 Article en page(s) : pp 337 - 348 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Analyse spatiale
[Termes IGN] analyse diachronique
[Termes IGN] comportement
[Termes IGN] données issues des réseaux sociaux
[Termes IGN] élection
[Termes IGN] estimation par noyau
[Termes IGN] Etats-Unis
[Termes IGN] logiciel de navigation
[Termes IGN] moteur de recherche
[Termes IGN] ontologie
[Termes IGN] TwitterRésumé : (Auteur) We introduce a new research framework for analyzing the spatial distribution of web pages and social media (Twitter) messages with related contents, called Visualizing Information Space in Ontological Networks (VISION). This innovative method can facilitate the tracking of ideas and social events disseminated in cyberspace from a spatial-temporal perspective. Thousands of web pages and millions of tweets associated with the same keywords were converted into visualization maps using commercial web search engines (Yahoo application programming interface (API) and Bing API), a social media search engine (Twitter APIs), Internet Protocol (IP) geolocation methods, and Geographic Information Systems (GIS) functions (e.g., kernel density and raster-based map algebra methods). We found that comparing multiple web information landscapes with different keywords or different dates can reveal important spatial patterns and “geospatial fingerprints” for selected keywords. We used the 2012 US Presidential Election candidates as our case study to validate this method. We noticed that the weekly changes of the geographic probability of hosting “Barack Obama” or “Mitt Romney” web pages are highly related to certain major campaign events. Both attention levels and the content of the tweets were deeply impacted by Hurricane Sandy. This new approach may provide a new research direction for studying human thought, human behaviors, and social activities quantitatively. Numéro de notice : A2013-762 Affiliation des auteurs : non IGN Thématique : GEOMATIQUE Nature : Article DOI : 10.1080/15230406.2013.799738 En ligne : https://doi.org/10.1080/15230406.2013.799738 Format de la ressource électronique : URL Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=32898
in Cartography and Geographic Information Science > vol 40 n° 4 (September 2013) . - pp 337 - 348[article]Exemplaires(1)
Code-barres Cote Support Localisation Section Disponibilité 032-2013041 RAB Revue Centre de documentation En réserve L003 Disponible Assessing the veracity of methods for extracting place semantics from Flickr tags / William A Mackaness in Transactions in GIS, vol 17 n° 4 (August 2013)
[article]
Titre : Assessing the veracity of methods for extracting place semantics from Flickr tags Type de document : Article/Communication Auteurs : William A Mackaness, Auteur ; Omair Chaudhry, Auteur Année de publication : 2013 Article en page(s) : pp 544 - 562 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Bases de données localisées
[Termes IGN] base de données d'images
[Termes IGN] données spatiotemporelles
[Termes IGN] exploration de données
[Termes IGN] grand public
[Termes IGN] image Flickr
[Termes IGN] inférence
[Termes IGN] information sémantique
[Termes IGN] milieu urbain
[Termes IGN] régression logistique
[Termes IGN] segmentation sémantiqueRésumé : (Auteur) The volume and potential value of user generated content (UGC) is ever growing. Multiply sourced, its value is greatly increased by the inclusion of metadata that adequately and accurately describes that content – particularly if such data are to be integrated with more formal data sets. Typically, digital photography is tagged with location and attribute information that variously describe the location, events or objects in the image. Often inconsistent and incomplete, these attributes reflect concepts at a range of geographic scales. From a spatial data integration perspective, the information relating to “place” is of primary interest. The challenge therefore is in selecting the most appropriate tags that best describe the geography of the image. This article presents a methodology based on an information retrieval technique that separates out “place related tags” from the remainder of the tags. Different scales of geography are identified by varying the size of the sampling area within which the imagery falls. This is applied in the context of urban environments, using Flickr imagery. Empirical analysis is then used to assess the correctness of the chosen tags (i.e. whether the tag correctly describes the geographic region in which the image was taken). Logistic regression and Bayesian inference are used to attach a probability value to each place tag. The high correlation values achieved indicate that this methodology can be used to automatically select place tags for any urban region and thus hierarchically structure UGC in order that it can be semantically integrated with other data sources. Numéro de notice : A2013-471 Affiliation des auteurs : non IGN Thématique : GEOMATIQUE/INFORMATIQUE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1111/tgis.12043 Date de publication en ligne : 28/05/2013 En ligne : https://doi.org/10.1111/tgis.12043 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=32609
in Transactions in GIS > vol 17 n° 4 (August 2013) . - pp 544 - 562[article]Geo-tagged Twitter collection and visualization system / Hideyuki Fujita in Cartography and Geographic Information Science, vol 40 n° 3 (June 2013)
[article]
Titre : Geo-tagged Twitter collection and visualization system Type de document : Article/Communication Auteurs : Hideyuki Fujita, Auteur Année de publication : 2013 Article en page(s) : pp 183 - 191 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Applications SIG
[Termes IGN] données issues des réseaux sociaux
[Termes IGN] géobalise
[Termes IGN] partage de données localisées
[Termes IGN] Twitter
[Termes IGN] visualisation cartographiqueRésumé : (Auteur) Mobile social media generate valuable data for analyzing human behavior and events in the real world. In this study, we developed a distributed system for collecting geo-tagged data from Twitter. The proposed system can collect several times as much data as commonly used methods. We also developed a spatio-temporal visualization tool for displaying the collected data. We conducted a data-collection and visualization experiment in central Tokyo and showed that the collected data reflected many events in the real world. Numéro de notice : A2013-751 Affiliation des auteurs : non IGN Thématique : GEOMATIQUE Nature : Article DOI : 10.1080/15230406.2013.800272 En ligne : https://doi.org/10.1080/15230406.2013.800272 Format de la ressource électronique : url Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=32887
in Cartography and Geographic Information Science > vol 40 n° 3 (June 2013) . - pp 183 - 191[article]Exemplaires(1)
Code-barres Cote Support Localisation Section Disponibilité 032-2013031 RAB Revue Centre de documentation En réserve L003 Disponible Demarcating new boundaries: mapping virtual polycentric communities through social media content / Anthony Stefanidis in Cartography and Geographic Information Science, vol 40 n° 2 (March 2013)
[article]
Titre : Demarcating new boundaries: mapping virtual polycentric communities through social media content Type de document : Article/Communication Auteurs : Anthony Stefanidis, Auteur ; Amy Cotnoir, Auteur ; Arie Croitoru, Auteur ; Andrew Crooks, Auteur ; Matthew Rice, Auteur ; Jacek Radzikowski, Auteur Année de publication : 2013 Article en page(s) : pp 116 - 129 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Analyse spatiale
[Termes IGN] analyse de données
[Termes IGN] communauté virtuelle
[Termes IGN] détection de cible
[Termes IGN] données issues des réseaux sociaux
[Termes IGN] données localisées des bénévoles
[Termes IGN] identification automatique
[Termes IGN] Syrie
[Termes IGN] visualisation cartographiqueRésumé : (Auteur) The proliferation of social media has led to the emergence of a new type of geospatial information that defies the conventions of authoritative or volunteered geographic information, yet can be harvested to reveal unique and dynamic information about people and their activities. In this paper we address the identification and mapping of global virtual communities formed around issues of specific national interest. We refer to these connected virtual communities formed around issues related to a specific state as the polycentric virtual equivalent of that state. Identifying, mapping, and analyzing these virtual communities is a novel challenge for our community, and this is the subject we pursue in this paper. We present these communities relative to established conventions of statehood, address the harvesting of relevant geographical information from social media feeds, and discuss the challenge of visualizing such information. In order to do so we use the current geopolitical situation in Syria as a demonstrative example. Numéro de notice : A2013-746 Affiliation des auteurs : non IGN Thématique : GEOMATIQUE/SOCIETE NUMERIQUE Nature : Article DOI : 10.1080/15230406.2013.776211 En ligne : https://doi.org/10.1080/15230406.2013.776211 Format de la ressource électronique : URL Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=32882
in Cartography and Geographic Information Science > vol 40 n° 2 (March 2013) . - pp 116 - 129[article]Exemplaires(1)
Code-barres Cote Support Localisation Section Disponibilité 032-2013021 RAB Revue Centre de documentation En réserve L003 Disponible Evaluating the “geographical awareness” of individuals: an exploratory analysis of Twitter data / Chen Xu in Cartography and Geographic Information Science, vol 40 n° 2 (March 2013)PermalinkAn ontology-based approach to incorporate user-generated geo-content into SDI / D.P. Deng (20/10/2011)Permalink