| Attributes | Values |
|---|
| rdf:type
| |
| Description
| - Nowadays, thanks to integration of information and communication technologies to everyday life, huge volumes of information generated by different kinds of subjects emerge. This information might be a valuable source for decision support in many domains of business, political and personal spatial activities. One of such sources is microblog system or social network with enabling blogging, i.e. sharing short text messages by the users of these systems (such as Twitter). During the analysis of the collected Twitter data via Twitter API the text messages were processed and also supplementary information including actors' characteristics, place and data of the origin of the message etc. were analysed. In the presented case studies, text data from social network Twitter were processed, analysed and visualized. Individual posts have associated, besides other things, geographical coordinates and they can be thus attached to a certain place on the Earth. Spatial analyses with application in many domains might be therefore applied to the data. The first case study focused on analysis of customer behaviour in the field of alcoholic beverages consumption around the end of the year 2013 in the Czech Republic. The second case study focused on geopolitical events on-going in Ukraine these days (spring 2014) and on related geolocated tweets about these events. Both case studies were performed using spatial analyses tools in GIS as well as cartographically visualized on a map.
- Nowadays, thanks to integration of information and communication technologies to everyday life, huge volumes of information generated by different kinds of subjects emerge. This information might be a valuable source for decision support in many domains of business, political and personal spatial activities. One of such sources is microblog system or social network with enabling blogging, i.e. sharing short text messages by the users of these systems (such as Twitter). During the analysis of the collected Twitter data via Twitter API the text messages were processed and also supplementary information including actors' characteristics, place and data of the origin of the message etc. were analysed. In the presented case studies, text data from social network Twitter were processed, analysed and visualized. Individual posts have associated, besides other things, geographical coordinates and they can be thus attached to a certain place on the Earth. Spatial analyses with application in many domains might be therefore applied to the data. The first case study focused on analysis of customer behaviour in the field of alcoholic beverages consumption around the end of the year 2013 in the Czech Republic. The second case study focused on geopolitical events on-going in Ukraine these days (spring 2014) and on related geolocated tweets about these events. Both case studies were performed using spatial analyses tools in GIS as well as cartographically visualized on a map. (en)
|
| Title
| - Spatial Analyses of Twitter Data - Case Studies
- Spatial Analyses of Twitter Data - Case Studies (en)
|
| skos:prefLabel
| - Spatial Analyses of Twitter Data - Case Studies
- Spatial Analyses of Twitter Data - Case Studies (en)
|
| skos:notation
| - RIV/61989592:15310/14:33152411!RIV15-MSM-15310___
|
| http://linked.open...avai/riv/aktivita
| |
| http://linked.open...avai/riv/aktivity
| |
| http://linked.open...vai/riv/dodaniDat
| |
| http://linked.open...aciTvurceVysledku
| |
| http://linked.open.../riv/druhVysledku
| |
| http://linked.open...iv/duvernostUdaju
| |
| http://linked.open...titaPredkladatele
| |
| http://linked.open...dnocenehoVysledku
| |
| http://linked.open...ai/riv/idVysledku
| - RIV/61989592:15310/14:33152411
|
| http://linked.open...riv/jazykVysledku
| |
| http://linked.open.../riv/klicovaSlova
| - Spatial Analysis, Social Networks, GIS, Twitter, Visualization, Ukraine (en)
|
| http://linked.open.../riv/klicoveSlovo
| |
| http://linked.open...ontrolniKodProRIV
| |
| http://linked.open...v/mistoKonaniAkce
| |
| http://linked.open...i/riv/mistoVydani
| |
| http://linked.open...i/riv/nazevZdroje
| - 14th SGEM GeoConference on Informatics, Geoinformatics and Remote Sensing
|
| http://linked.open...in/vavai/riv/obor
| |
| http://linked.open...ichTvurcuVysledku
| |
| http://linked.open...cetTvurcuVysledku
| |
| http://linked.open...vavai/riv/projekt
| |
| http://linked.open...UplatneniVysledku
| |
| http://linked.open...iv/tvurceVysledku
| - Dařena, František
- Marek, Lukáš
- Pászto, Vít
- Fusková, Dana
|
| http://linked.open...vavai/riv/typAkce
| |
| http://linked.open.../riv/zahajeniAkce
| |
| issn
| |
| number of pages
| |
| http://purl.org/ne...btex#hasPublisher
| |
| https://schema.org/isbn
| |
| http://localhost/t...ganizacniJednotka
| |
![[RDF Data]](/fct/images/sw-rdf-blue.png)
![[cxml]](/fct/images/cxml_doc.png)
![[csv]](/fct/images/csv_doc.png)
![[text]](/fct/images/ntriples_doc.png)
![[turtle]](/fct/images/n3turtle_doc.png)
![[ld+json]](/fct/images/jsonld_doc.png)
![[rdf+json]](/fct/images/json_doc.png)
![[rdf+xml]](/fct/images/xml_doc.png)
![[atom+xml]](/fct/images/atom_doc.png)
![[html]](/fct/images/html_doc.png)