TY - JOUR
T1 - A novel measure of edge centrality in social networks
JO - Knowledge-Based Systems
VL - 30
IS - 0
SP - 136
EP - 150
PY - 2012/6//
T2 -
AU - De Meo, Pasquale
AU - Ferrara, Emilio
AU - Fiumara, Giacomo
AU - Ricciardello, Angela
SN - 0950-7051
DO - http://dx.doi.org/10.1016/j.knosys.2012.01.007
UR - http://www.sciencedirect.com/science/article/pii/S0950705112000160
KW - Complex networks
KW - Social networks
KW - Centrality measure
KW - Network analysis
KW - Network science
AB - The problem of assigning centrality values to nodes and edges in graphs has been widely investigated during last years. Recently, a novel measure of node centrality has been proposed, called κ-path centrality index, which is based on the propagation of messages inside a network along paths consisting of at most κ edges. On the other hand, the importance of computing the centrality of edges has been put into evidence since 1970s by Anthonisse and, subsequently by Girvan and Newman. In this work we propose the generalization of the concept of κ-path centrality by defining the κ-path edge centrality, a measure of centrality introduced to compute the importance of edges. We provide an efficient algorithm, running in O(κm), being m the number of edges in the graph. Thus, our technique is feasible for large scale network analysis. Finally, the performance of our algorithm is analyzed, discussing the results obtained against large online social network datasets.
ER -