Title
Ego-betweenness centrality in link streams.
Abstract
The ability of a node to relay information in a network is often measured using betweenness centrality. In order to take into account the fact that the role of the nodes vary through time, several adaptations of this concept have been proposed to time-evolving networks. However, these definitions are demanding in terms of computational cost, as they call for the computation of time-ordered paths. We propose a definition of centrality in link streams which is node-centric, in the sense that we only take into account the direct neighbors of a node to compute its centrality. This restriction allows to carry out the computation in a shorter time compared to a case where any couple of nodes in the network should be considered. Tests on empirical data show that this measure is relatively highly correlated to the number of times a node would relay information in a flooding process. We suggest that this is a good indication that this measurement can be of use in practical contexts where a node has a limited knowledge of its environment, such as routing protocols in delay tolerant networks.
Year
DOI
Venue
2017
10.1145/3110025.3110158
ASONAM '17: Advances in Social Networks Analysis and Mining 2017 Sydney Australia July, 2017
Keywords
Field
DocType
link streams,direct neighbors,delay tolerant networks,ego-betweenness centrality,time-evolving networks,computational cost,time-ordered paths,flooding process
Data mining,Computer science,Computer network,Id, ego and super-ego,Centrality,Betweenness centrality,STREAMS,Relay,Routing protocol,Computation
Conference
ISSN
ISBN
Citations 
2473-9928
978-1-4503-4993-2
0
PageRank 
References 
Authors
0.34
18
3
Name
Order
Citations
PageRank
Marwan Ghanem110.70
Florent Coriat200.34
Lionel Tabourier3908.85