| Bildiri Türü |
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Bildiri Dili | İngilizce |
| Bildiri Alt Türü | Tam Metin Olarak Yayınlanan Tebliğ (Uluslararası Kongre/Sempozyum) | ||
| Bildiri Niteliği | Alanında Hakemli Uluslararası Kongre/Sempozyum | ||
| DOI Numarası | 10.5194/isprs-archives-XLII-4-W6-81-2017 | ||
| Kongre Adı | 4th International Workshop on Geoinformation Science: GeoAdvances 2017 | ||
| Kongre Tarihi | 14-10-2017 / 15-10-2017 | ||
| Basıldığı Ülke | Türkiye | Basıldığı Şehir | Karabük |
| Bildiri Linki | https://www.int-arch-photogramm-remote-sens-spatial-inf-sci.net/XLII-4-W6/81/2017/ | ||
| UAK Araştırma Alanları |
Algoritmalar ve Hesaplama Kuramı
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| Özet |
| Social networks are the real social experience of individuals in the online environment. In this environment, people use symbolic gestures and mimics, sharing thoughts and content. Social network analysis is the visualization of complex and large quantities of data to ensure that the overall picture appears. It is the understanding, development, quantitative and qualitative analysis of the relations in the social networks of Graph theory. Social networks are expressed in the form of nodes and edges. Nodes are people/organizations, and edges are relationships between nodes. Relations are directional, non-directional, weighted, and weightless. The purpose of this study is to examine the effects of social networks on the evaluation of person data with spatial coordinates. For this, the cluster size and the effect on the geographical area of the circle where the placements of the individual are influenced by the frequently used placeholder feature in the social networks have been studied. |
| Anahtar Kelimeler |
| Gephi | Open source geographical information systems | QGIS | Social network analysis | Spatial data |
| Atıf Sayıları | |
| Scopus | 2 |
| Google Scholar | 3 |