Dynamics of condensation in growing complex networks
Luca Ferretti, Ginestra Bianconi

TL;DR
This paper investigates the dynamic process of condensation in growing networks with preferential attachment, revealing how a single node can dominate over time and how the process slows down near critical points.
Contribution
It characterizes the dynamics of condensation in fitness-based networks and shows the slow-down and emergence of a dominant node over long timescales.
Findings
Condensation dynamics slow down below the critical temperature.
A single node can dominate the network for extended periods.
Characteristic time diverges at critical points and zero temperature.
Abstract
A condensation transition was predicted for growing technological networks evolving by preferential attachment and competing quality of their nodes, as described by the fitness model. When this condensation occurs a node acquires a finite fraction of all the links of the network. Earlier studies based on steady state degree distribution and on the mapping to Bose-Einstein condensation, were able to identify the critical point. Here we characterize the dynamics of condensation and we present evidence that below the condensation temperature there is a slow down of the dynamics and that a single node (not necessarily the best node in the network) emerges as the winner for very long times. The characteristic time t* at which this phenomenon occurs diverges both at the critical point and at when new links are attached deterministically to the highest quality node of the network.
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
