Skip to search formSkip to main contentSkip to account menu

Betweenness centrality

Betweenness centrality is an indicator of a node's centrality in a network. It is equal to the number of shortest paths from all vertices to all… 
Wikipedia (opens in a new tab)

Papers overview

Semantic Scholar uses AI to extract papers important to this topic.
2018
2018
The constant and massive influx of new data into analysis systems needs to be addressed without assuming we can pause the… 
Review
2017
Review
2017
The sentiment aggregation problem accounts for analyzing the sentiment of a user towards various aspects/features of a product… 
2014
2014
A basic problem in the analysis of social networks is missing data. When a network model does not accurately capture all the… 
2014
2014
KOBAN, DONALD DANIEL. Accounting for Uncertainty in Social Network Analysis through Replication. (Under the direction of Dr. Thom… 
2010
2010
Betweenness Centrality (BC) is a powerful metric for identifying central nodes in complex network analysis, but its computation… 
2009
2009
Depending on network properties and the policies applied by its operator, certain links can play a central role in the sense that… 
2007
2007
Thesis (Ph. D.)--Massachusetts Institute of Technology, Engineering Systems Division, 2008. 
Review
2007
Review
2007
This paper summarises the latest theories in the field of space syntax. It opens with a discussion of the relationship between… 
2000
2000
With the recent advent of computer-based communication technologies, communication networks have become an important factor in…