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 coefficients 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.

Cerqueti, R., Clemente, G., Grassi, R. (2021). Stratified cohesiveness in complex business networks. JOURNAL OF BUSINESS RESEARCH, 129(May 2021), 515-526 [10.1016/j.jbusres.2020.04.005].

Stratified cohesiveness in complex business networks

Grassi, Rosanna
2021

Abstract

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 coefficients 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.
Articolo in rivista - Articolo scientifico
Cohesive stratification; Complex business networks; Geodesic distance in networks; Structural cohesion;
English
28-lug-2020
2021
129
May 2021
515
526
none
Cerqueti, R., Clemente, G., Grassi, R. (2021). Stratified cohesiveness in complex business networks. JOURNAL OF BUSINESS RESEARCH, 129(May 2021), 515-526 [10.1016/j.jbusres.2020.04.005].
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/10281/280726
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