Largest connected component in duplication-divergence growing graphs with symmetric coupled divergence
Dario Borrelli

TL;DR
This paper investigates the phase transition of the largest connected component in duplication-divergence growing graphs with symmetric coupled divergence, revealing critical divergence rates and the influence of non-interacting vertices.
Contribution
It introduces a detailed analysis of the phase transition in these graphs, linking divergence rates to the Euler characteristic and the role of non-interacting vertices in the transition.
Findings
Identifies a phase transition at a critical divergence rate near zero in Euler characteristic.
Shows the presence or absence of non-interacting vertices affects the transition.
Suggests implications for bond percolation in these graph models.
Abstract
The largest connected component in duplication-divergence growing graphs with symmetric coupled divergence is studied. Finite-size scaling reveals a phase transition occurring at a divergence rate . The found stands near the locus of zero in Euler characteristic for finite-size graphs, known to be indicative of the largest connected component transition. The role of non-interacting vertices in shaping this transition with their presence () and absence () in duplication is also discussed, suggesting a particular transformation of the time variable considered, which yields a singularity locus in the natural logarithm of the absolute value of Euler characteristic in finite-size graphs near to that obtained with but from the model with . The findings may suggest implications for bond percolation in these growing graph models.
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.
Taxonomy
TopicsTheoretical and Computational Physics · Graph theory and applications · Complex Network Analysis Techniques
