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

Künye