Betweenness centrality refers to the measure of a node's influence on the transfer of items within a network. It is a mechanism used to identify participants within an interconnected system that are responsible for processing high frequencies of traffic. This thesis examines the performance ...
We found that the agoraphobia group showed reduced betweenness centrality of a network encompassing key regions of the vestibular cortex. Dysfunctions of the vestibular cortex may explain the dizziness symptom for a disorder previously labelled as psychogenic. 展开 ...
Betweenness is a well-known centrality measure that ranks the nodes according to their participation in the shortest paths of a network. In several scenarios, having a high betweenness can have a positive impact on the node itself. Hence, in this paper we consider the problem of determining how...
The betweenness centrality (BC) of a node in a network (or graph) is a measure of its importance in the network. BC is widely used in a large number of environments such as social networks, transport networks, security/mobile networks and more. We present an O(n)-round distributed algori...
- 《Journal of Network & Computer Applications》 被引量: 52发表: 2012年 The delta-betweenness centrality In this paper we consider the extension of the betweenness centrality measure which is used in social and computer communication networks to estimate the p... A Plutov,M Segal - IEEE ...
Betweenness centrality is a measure based on shortest paths that attempts to quantify the relative importance of nodes in a network. As computation of betw... N Edmonds,T Hoefler,A Lumsdaine - International Conference on High Performance Computing 被引量: 63发表: 2010年 RANKING AND SELECTING ENT...
Four new centrality measures for directed networks based on unitary, continuous-time quantum walks (CTQW) in n n dimensions -- where n n is the number of... P Boito,R Grena 被引量: 0发表: 2022年 Effects of network heterogeneity on phases of the quenched contact process in directed compl...
Betweenness centrality is defined as a measure of how often a node lies on the shortest path between all pairs of nodes in a network. It requires global knowledge of the entire network and assigns centrality values to nodes based on their position in these paths. ...
Betweenness is a measure of the centrality of a node in a network, and is normally calculated as the fraction of shortest paths between node pairs that pass through the node of interest. Betweenness is, in some sense, a measure of the influence a node has over the spread of information th...
The betweenness centrality, a path-based global measure of flow, is a static predictor of congestion and load on networks. Here we demonstrate that its statistical distribution is invariant for planar networks, that are used to model many infrastructural