Scaling of mean first-passage time as efficiency measure of nodes sending information on scale-free Koch networks
Zhongzhi Zhang, Shuyang Gao

TL;DR
This paper analytically investigates the efficiency of hub nodes in sending information in scale-free Koch networks, revealing that sending efficiency scales as N log N and is similar for hubs and non-hubs.
Contribution
It provides the first analytical study of the mean first-passage time for information sending from hub nodes in scale-free small-world networks.
Findings
PMFPT scales as N log N in large networks.
Hub nodes are more efficient in receiving than sending information.
Sender location has little impact on transmission efficiency.
Abstract
A lot of previous work showed that the sectional mean first-passage time (SMFPT), i.e., the average of mean first-passage time (MFPT) for random walks to a given hub node (node with maximum degree) averaged over all starting points in scale-free small-world networks exhibits a sublinear or linear dependence on network order (number of nodes), which indicates that hub nodes are very efficient in receiving information if one looks upon the random walker as an information messenger. Thus far, the efficiency of a hub node sending information on scale-free small-world networks has not been addressed yet. In this paper, we study random walks on the class of Koch networks with scale-free behavior and small-world effect. We derive some basic properties for random walks on the Koch network family, based on which we calculate analytically the partial mean first-passage time (PMFPT) defined as…
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