Structural Properties of Networks Grown via an Achlioptas Process

TL;DR

This paper investigates the structural differences of networks formed via the Achlioptas process compared to random networks, revealing that AP results in less clustered and more fragile networks, especially in static cases.

Contribution

It provides a detailed analysis of the structural properties of networks grown through the Achlioptas process, focusing on metrics like shortest-path length and betweenness centrality.

Findings

AP networks are less clustered than random networks.

AP networks are more fragile than random networks.

Structural differences are less prominent in growing networks.

Abstract

After the Achlioptas process (AP), which yields the so-called explosive percolation, was introduced, the number of papers on percolation phenomena has been literally exploding. Most of the existing studies, however, have focused only on the nature of phase transitions, not paying proper attention to the structural properties of the resulting networks, which compose the main theme of the present paper. We compare the resulting network structure of the AP with random networks and find, through observations of the distributions of the shortest-path length and the betweenness centrality in the giant cluster, that the AP makes the network less clustered and more fragile. Such structural characteristics are more directly seen by using snapshots of the network structures and are explained by the fact that the AP suppresses the formation of large clusters more strongly than the random process does. These structural differences between the two processes are shown to be less noticeable in growing networks than in static ones.