Paper Info
Title
Can Network Analysis Reveal Importance? Degree Centrality and Leaders in the EU Integration Process.
Abstract
This paper describes ongoing work on the potential of simple centrality algorithms for the robust and low-cost exploration of non-curated text corpora. More specifically, this paper studies (1) a network of historical personalities created from co-occurrences in historical photographs and (2) a network created from co-occurrences of names in Wikipedia pages with the goal to accurately identify outstanding personalities in the history of European integration even within flawed datasets. In both cases Degree centrality emerges as a viable method to detect leading personalities.
Year
DOI
Venue
2014
10.1007/978-3-319-15168-7_39
Lecture Notes in Computer Science
Keywords
Field
DocType
Historical network research,Wikipedia,Photos,Digital history
CAN bus,Data science,Internet privacy,Computer science,Centrality,Text corpus,Digital history,European integration
Conference
Volume
ISSN
Citations 
8852
0302-9743
0
PageRank 
References 
Authors
0.34
5
1
Name
Order
Citations
PageRank
Marten Düring145.86