Analytical results for the distribution of shortest path lengths in directed random networks that grow by node duplication
Chanania Steinbock, Ofer Biham, Eytan Katzav

TL;DR
This paper derives exact analytical formulas for the distribution of shortest path lengths in a directed network model grown by node duplication, revealing how network size influences path length and connectivity.
Contribution
It introduces a master equation approach to analytically determine the shortest path length distribution in a directed duplication network model.
Findings
Shortest path length distribution is a convolution of initial distribution and Poisson distributions.
Mean shortest path length grows logarithmically with network size.
Only a small fraction of node pairs are connected by directed paths in large networks.
Abstract
We present exact analytical results for the distribution of shortest path lengths (DSPL) in a directed network model that grows by node duplication. Such models are useful in the study of the structure and growth dynamics of gene regulatory networks and scientific citation networks. Starting from an initial seed network, at each time step a random node, referred to as a mother node, is selected for duplication. Its daughter node is added to the network and duplicates each outgoing link of the mother node with probability . In addition, the daughter node forms a directed link to the mother node itself. Thus, the model is referred to as the corded directed-node-duplication (DND) model. In this network not all pairs of nodes are connected by directed paths, in spite of the fact that the corresponding undirected network consists of a single connected component. More specifically, in the…
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