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)

Related topics

Related topics

25 relations
Biological networkCentralityClimate as complex networksCloseness centrality

Broader (2)

Graph theoryNetwork theory

Papers overview

Semantic Scholar uses AI to extract papers important to this topic.
2015
2015
Incremental closeness centrality in distributed memory
2015
2015
Clean Money in a Dirty System: Relationship Networks and Land Rezoning in Queensland
We use a unique regulatory event that occurred in Queensland, Australia, from 2007- 2012, to examine the predictive power of… 
2014
2014
Missing Data in Multiplex Networks: A Preliminary Study
A basic problem in the analysis of social networks is missing data. When a network model does not accurately capture all the… 
2013
2013
P2P architectures for distributed online social networks
Online Social Networks (OSNs) tipically exploit logically centralized infrastructure. The centralized nature of OSNs has several… 
2012
2012
Networks of Innovation in 3D Printing
Innovation inside companies is difficult to see. But an emerging online community of inventors who publicly post 3D CAD drawings… 
2012
2012
An empirical study of the structure of relevant keywords in a search engine using the minimum spanning tree
2011
2011
Towards “Honest Signals” of Creativity – Identifying Personality Characteristics Through Microscopic Social Network Analysis
2008
2008
Traffic dynamics in scale-free networks with limited packet-delivering capacity
2008
2008
Topological Properties of the Italian Airport Network studied via Multiple Addendials and Graph Theory
2000
2000
Research of the Power in the Supply chain
With the recent advent of computer-based communication technologies, communication networks have become an important factor in… 
By clicking accept or continuing to use the site, you agree to the terms outlined in our Privacy Policy (opens in a new tab), Terms of Service (opens in a new tab), and Dataset License (opens in a new tab)