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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)  

Public [article]  inInternational journal of geographical information science IJGIS > vol 29 n° 2 (February 2015) . - pp 258 - 279 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] Twitter Résumé : (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 [article]

The design and prototype of a distributed geo-spatial infrastructure for smart sensors webs / Steve H.L. Liang (2003)  

Public contenu dans AGILE 2003, 6th Agile Conference on Geographic Information Science, Lyon, 24 - 26 April, 2003 / Michael Gould (2003)   Titre : The design and prototype of a distributed geo-spatial infrastructure for smart sensors webs Type de document : Article/Communication Auteurs : Steve H.L. Liang, Auteur ; C. Vincent Tao, Auteur ; Arie Croitoru, Auteur Editeur : Lausanne [Suisse] : Presses polytechiques et universitaires romandes Année de publication : 2003 Conférence : AGILE 2003, 6th international conference on geographic information science 24/04/2003 26/04/2003 Lyon France Open access proceedings Importance : pp 303 - 311 Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Géomatique web [Termes IGN] architecture orientée services [Termes IGN] base de données répartie [Termes IGN] géomatique web [Termes IGN] infrastructure mondiale des données localisées [Termes IGN] réseau de capteurs [Termes IGN] service web géographique [Termes IGN] télécommunication sans fil [Termes IGN] téléphone intelligent Résumé : (Auteur) So far, over 100 physical (light, pressure, humidity etc), chemical (gas, liquid, solid, etc) aid biological (DNA, protein, acoustics etc) properties can be sensed by using in situ sensing technology. With the presence of cheaper, miniature, faster, and smart in situ sensors, and the increasing availability of abundant ubiquitous computing devices, wireless and mobile network access, and autonomous and intelligent geospatial software agents, distributed networked in situ sensing becomes clearly a technological trend. Sensor webs can perform as an extensive monitoring and sensing system that provides timely, comprehensive, continuous and multimode observations. This new earth observation system opens up a new avenue to fast assimilation of data from various sensors (both in situ and remote) and to accurate analysis and informed decision makings. One of the critical components in developing a sensor web is to build a geospatial information infrastructure, a backbone that connects the heterogeneous in-situ sensors and remote sensors over the wired or wireless networks. This paper describes a distributed GIServices architecture, which serves as a gateway that integrates and fuses observations from spatially referenced sensors. A GIServices prototype -GeoServNet which is being developed in GeoICT Lab, York University is also introduced in this paper. What is smart sensor webs "A system composed of multiple science instrument/processor platforms that are interconnected by means of a communications fabric for the purpose of collecting measurements and processing data for Earth or Space Science objectives." This is the definition of Sensor Web from NASA Sensor Web Applied Research Planning Group. Sensor Web can be seen as an advanced smart sensor network. Business week provide a vivid and easy understanding description of smart sensor web : “In the next century, planet Earth will don an electronic skin. It will use the Internet as a scaffold to support and transmit sensations. This skin is already being stitched together. It consists of millions of embedded electronic measuring devices: thermostats, pressure gauges, pollution detectors, cameras, microphones, glucose sensors, EKGs, electroencephalographs. These will probe and monitor cities and endangered species, the atmosphere, our ships, highways and fleets of trucks, our conversations, our bodies - even our dreams." Numéro de notice : C2003-010 Affiliation des auteurs : non IGN Thématique : GEOMATIQUE Nature : Communication DOI : sans En ligne : https://agile-online.org/conference_paper/cds/agile_2003/proceedings/38.pdf Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=64989