https://doi.org/10.1140/epjb/e2004-00326-3
Dependence of the average to-node distance on the node degree for random graphs and growing networks
Faculty of Physics and Applied Computer Science, AGH University of Science and Technology, al. Mickiewicza 30, PL-30059 Kraków, Poland
Corresponding author: a malarz@agh.edu.pl
Received:
19
February
2004
Revised:
15
June
2004
Published online:
21
October
2004
In a connected graph, nodes can be characterised locally (with their degree k) or globally (e.g. with their average length path ξ to other nodes). Here we investigate how ξ depends on k. The numerical algorithm based on the construction of the distance matrix is applied to random graphs and the growing networks: the scale-free ones and the exponential ones. The results are relevant for search strategies in different networks.
PACS: 02.10.Ox – Combinatorics; graph theory / 05.10.-a – Computational methods in statistical physics and nonlinear dynamics
© EDP Sciences, Società Italiana di Fisica, Springer-Verlag, 2004