eprintid: 588 rev_number: 1 eprint_status: archive userid: 1 dir: disk0/00/00/05/88 datestamp: 2020-04-23 05:18:10 lastmod: 2020-04-23 05:18:11 status_changed: 2020-04-23 05:18:10 type: thesis metadata_visibility: show creators_name: Meerburg, J. title: Towards a method to use social media in describing a dynamic image of a region. ispublished: pub full_text_status: public abstract: This study shows a method how to get a collective image of a region based on collective behavior on social media. It also shows a way how time can be used to show changes in the image of a region. An individual creates an image of a region based on personal factors and acquired knowledge. This image can be shared (un)knowingly on social media. With the use of social media and associated information like tags and location information, the individuals their images can be aggregated to a collective image. It consists of a collective compilation, a mix, of cognitive and affective elements with a dominant image as a result. The cognitive elements include those attributes by which an individual knows or identifies the region’s characteristics. The affective elements represent an individual’s attitudes to and feelings for the region in question, developed through past experiences related to the region. date: 2013 date_type: published thesis_type: master degree_programme: CG tutors_name: Weitkamp, G. keywords_local: Mapping keywords_local: Dynamic image keywords_local: Image keywords_local: Social media keywords_local: Image of a region keywords_local: Hot spot analysis keywords_local: Tags language_iso: en titleorder: Towards a method to use social media in describing a dynamic image of a region. dbi: 5253ed1ef07da imported_item: yes date_of_import: 2020-04-22 imported_from: http://scripties.frw.eldoc.ub.rug.nl/root/ma/CG/2013/jMeerburg/ import_source_file: theses-frw-20200422132454-5253ed1ef07da.xml date_issued: 2013-01-01 citation: Meerburg, J. (2013) Towards a method to use social media in describing a dynamic image of a region. Master thesis. document_url: https://frw.studenttheses.ub.rug.nl/588/1/Thesis_Jurjan_Meerburg.pdf