Network analysis of the stack overflow tags
Küçük Resim Yok
Tarih
2020
Yazarlar
Dergi Başlığı
Dergi ISSN
Cilt Başlığı
Yayıncı
International Society for Photogrammetry and Remote Sensing
Erişim Hakkı
info:eu-repo/semantics/openAccess
Özet
In this paper we made analysis for the stack overflow tags by using different criteria's in network science, one of the advantages of network analysis is that complex of connections can be made cleared, we started this work in first step by extracted data from dataset after that applied network concepts node degree distribution, node importance (centrality measures), also we provided a brief demonstration of how we can use graph network and tools to analyze semi-structured text as (Tags). © 2020 International Society for Photogrammetry and Remote Sensing. All rights reserved.
Açıklama
5th International Conference on Smart City Applications, SCA 2020 -- 7 October 2020 through 8 October 2020 -- Safranbolu -- 167323
Anahtar Kelimeler
Betweenness Centrality, Closeness Centrality, Degree Distribution, Modularity, Network Density, Node Degree
Kaynak
International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences - ISPRS Archives
WoS Q Değeri
Scopus Q Değeri
N/A
Cilt
44
Sayı
4/W3