TY - JOUR
T1 - Stratified cohesiveness in complex business networks
AU - Cerqueti, Roy
AU - Clemente, Gian Paolo
AU - Grassi, Rosanna
PY - 2020
Y1 - 2020
N2 - In this work, we propose a measure that aims at assessing the position of a node with respect to the interconnected groups of nodes existing in a network. In particular, since the nodes of a network can be placed at different distances from cohesive groups, we extend the standard concept of clustering coefficient and provide the local l-adjacency clustering coefficient of a node i as an opportunely weighted mean of the clustering coecients of nodes which are at distance l from i. Thus, the standard clustering coefficient is a peculiar local l-adjacency clustering coefficient for l = 0. As l varies, the local l-adjacency clustering coefficient is then used to infer insights on the position of each node in the overall structure. Empirical experiments on special business networks are carried out. In particular, the analysis of air traffic networks validate the theoretical proposal
and provide supporting arguments on its usefulness.
AB - In this work, we propose a measure that aims at assessing the position of a node with respect to the interconnected groups of nodes existing in a network. In particular, since the nodes of a network can be placed at different distances from cohesive groups, we extend the standard concept of clustering coefficient and provide the local l-adjacency clustering coefficient of a node i as an opportunely weighted mean of the clustering coecients of nodes which are at distance l from i. Thus, the standard clustering coefficient is a peculiar local l-adjacency clustering coefficient for l = 0. As l varies, the local l-adjacency clustering coefficient is then used to infer insights on the position of each node in the overall structure. Empirical experiments on special business networks are carried out. In particular, the analysis of air traffic networks validate the theoretical proposal
and provide supporting arguments on its usefulness.
KW - Cohesive stratification.
KW - Complex business networks
KW - Geodesic distance in networks
KW - Structural cohesion
KW - Cohesive stratification.
KW - Complex business networks
KW - Geodesic distance in networks
KW - Structural cohesion
UR - http://hdl.handle.net/10807/150542
U2 - 10.1016/j.jbusres.2020.04.005
DO - 10.1016/j.jbusres.2020.04.005
M3 - Article
SN - 0148-2963
SP - 515
EP - 526
JO - Journal of Business Research
JF - Journal of Business Research
ER -