Department of Mathematical Sciences
University of Bath
Claverton Down
Bath BA2 7AY
United Kingdom

4 West 5.6

PGP key: 98507F25
My key has changed some time ago.



google scholar



[FSF Associate Member]

Tiago de Paula Peixoto

Scientific interests
Networks & Complex Systems
Statistical Physics & Applied Mathematics
Current positions
University of Bath — Lecturer (Assistant Professor) in Applied Mathematics
ISI Foundation — External researcher
Software projects
graph-tool — An efficient python module for manipulation and statistical analysis of graphs.


My research focuses on characterizing, identifying and explaining large-scale patterns found in the structure and function of complex network systems — representing diverse phenomena with physical, biological, technological or social origins — using principled approaches from statistical physics, nonlinear dynamics and Bayesian inference.

Open positions

Interested PhD candidates are encouraged to apply for a 4-year studentship through the EPSRC Centre for Doctoral Training in Statistical Applied Mathematics (SAMBa).


  1. Bayesian stochastic blockmodeling
    Tiago P. Peixoto
    arXiv: 1705.10225
    Chapter in “Advances in Network Clustering and Blockmodeling,” edited by P. Doreian, V. Batagelj, A. Ferligoj (Wiley, New York, 2018 [forthcoming])
  2. On the consistency between model selection and link prediction in networks
    Toni Vallès-Català, Tiago P. Peixoto, Roger Guimerà, Marta Sales-Pardo
    arXiv: 1705.07967
  3. Nonparametric Bayesian inference of the microcanonical stochastic block model
    Tiago P. Peixoto
    Phys. Rev. E 95 012317 (2017)
    DOI: 10.1103/PhysRevE.95.012317 [sci-hub, @tor]
    arXiv: 1610.02703
  4. Modeling sequences and temporal networks with dynamic community structures
    Tiago P. Peixoto, Martin Rosvall
    arXiv: 1509.04740
  5. Disease localization in multilayer networks
    Guilherme Ferraz de Arruda, Emanuele Cozzo, Tiago P. Peixoto, Francisco A. Rodrigues, Yamir Moreno
    Phys. Rev. X 7 1 011014 (2017)
    DOI: 10.1103/PhysRevX.7.011014 [sci-hub, @tor]
    arXiv: 1509.07054
  6. Network structure, metadata, and the prediction of missing nodes and annotations
    Darko Hric, Tiago P. Peixoto, Santo Fortunato
    Phys. Rev. X 6 3 031038 (2016)
    DOI: 10.1103/PhysRevX.6.031038 [sci-hub, @tor]
    arXiv: 1604.00255
  7. Generalized communities in networks
    M. E. J. Newman, Tiago P. Peixoto
    Phys. Rev. Lett. 115, 088701 (2015)
    DOI: 10.1103/PhysRevLett.115.088701 [sci-hub, @tor]
    arXiv: 1505.07478
    Cover of the PRL issue!
  8. Sampling motif-constrained ensembles of networks
    Rico Fisher, Jorge C. Leitão, Tiago P. Peixoto, Eduardo G. Altmann
    Phys. Rev. Lett. 115, 188701 (2015)
    DOI: 10.1103/PhysRevLett.115.188701 [sci-hub, @tor]
    arXiv: 1507.08696
  9. Inferring the mesoscale structure of layered, edge-valued and time-varying networks
    Tiago P. Peixoto
    Phys. Rev. E 92, 042807 (2015)
    DOI: 10.1103/PhysRevE.92.042807 [sci-hub, @tor]
    arXiv: 1504.02381
    Code is available here.
  10. Model selection and hypothesis testing for large-scale network models with overlapping groups
    Tiago P. Peixoto
    Phys. Rev. X 5, 011033 (2015)
    DOI: 10.1103/PhysRevX.5.011033 [sci-hub, @tor]
    arXiv: 1409.3059
    Code is available here.
  11. Maximum-entropy large-scale structures of Boolean networks optimized for criticality
    Marco Möller, Tiago P. Peixoto
    New J. Phys. 17 043021 (2015)
    DOI: 10.1088/1367-2630/17/4/043021 [sci-hub, @tor]
  12. Limits and Trade-Offs of Topological Network Robustness
    Christopher Priester, Sebastian Schmitt, Tiago P. Peixoto
    PLoS ONE 9(9): e108215 (2014)
    DOI: 10.1371/journal.pone.0108215 [sci-hub, @tor]
  13. Hierarchical block structures and high-resolution model selection in large networks
    Tiago P. Peixoto
    Phys. Rev. X 4, 011047 (2014)
    DOI: 10.1103/PhysRevX.4.011047 [sci-hub, @tor]
    arXiv: 1310.4377
    Code is available here.
  14. Efficient Monte Carlo and greedy heuristic for the inference of stochastic block models
    Tiago P. Peixoto
    Phys. Rev. E 89, 012804 (2014)
    DOI: 10.1103/PhysRevE.89.012804 [sci-hub, @tor]
    arXiv: 1310.4378
    Code is available here.
  15. Eigenvalue Spectra of Modular Networks
    Tiago P. Peixoto
    Phys. Rev. Lett. 111 9 098701 (2013)
    DOI: 10.1103/PhysRevLett.111.098701 [sci-hub, @tor]
    arXiv: 1306.2507
  16. Spontaneous centralization of control in a network of company ownerships
    Sebastian M. Krause, Tiago P. Peixoto, Stefan Bornholdt
    PLoS ONE 8(12): e80303 (2013)
    DOI: 10.1371/journal.pone.0080303 [sci-hub, @tor]
    arXiv: 1306.3422
  17. Parsimonious Module Inference in Large Networks
    Tiago P. Peixoto
    Phys. Rev. Lett. 110 148701 (2013)
    DOI: 10.1103/PhysRevLett.110.148701 [sci-hub, @tor]
    arXiv: 1212.4794
  18. Evolution of Robust Network Topologies: Emergence of Central Backbones
    Tiago P. Peixoto, Stefan Bornholdt
    Phys. Rev. Lett. 109 11 118703 (2012)
    DOI: 10.1103/PhysRevLett.109.118703 [sci-hub, @tor]
    arXiv: 1205.2909
    Coverage: Synopsis in Physics
  19. Entropy of stochastic blockmodel ensembles
    Tiago P. Peixoto
    Phys. Rev. E 85 5 056122 (2012)
    DOI: 10.1103/PhysRevE.85.056122 [sci-hub, @tor]
    arXiv: 1112.6028
  20. No Need for Conspiracy: Self-Organized Cartel Formation in a Modified Trust Game
    Tiago P. Peixoto, Stefan Bornholdt
    Phys. Rev. Lett. 108 21 218702 (2012)
    DOI: 10.1103/PhysRevLett.108.218702 [sci-hub, @tor]
    arXiv: 1201.3798
    Coverage: ( High gas prices may be explained by self-organized cartel behavior, (Physics arXiv Blog) Cartels Are an Emergent Phenomenon, Say Complexity Theorists, (Jura Forum) Bremer Uni-Studie: Flächendeckend höhere Benzinpreise deuten nicht gleich auf Preisabsprachen hin, ( Benzinpreis: Kein Hinweis auf Absprache
  21. Emergence of robustness against noise: A structural phase transition in evolved models of gene regulatory networks
    Tiago P. Peixoto
    Phys. Rev. E 85 4 041908 (2012)
    DOI: 10.1103/PhysRevE.85.041908 [sci-hub, @tor]
    arXiv: 1108.4341
  22. Reliable dynamics in Boolean and continuous networks
    Eva Ackermann, Tiago P. Peixoto, Barbara Drossel
    New J. Phys. 14 12 123029 (2012)
    DOI: 10.1088/1367-2630/14/12/123029 [sci-hub, @tor]
  23. The behavior of noise-resilient Boolean networks with diverse topologies
    Tiago P Peixoto
    J. Stat. Mech. 2012 01 P01006 (2012)
    DOI: 10.1088/1742-5468/2012/01/P01006 [sci-hub, @tor]
    arXiv: 1108.4329
  24. Trust Transitivity in Social Networks
    Oliver Richters, Tiago P. Peixoto
    {PLoS} {ONE} 6 4 e18384 (2011)
    DOI: 10.1371/journal.pone.0018384 [sci-hub, @tor]
    arXiv: 1012.1358
  25. Density profile and polymer configurations for a polymer melt in a regular array of nanotubes
    Tiago P Peixoto, Barbara Drossel
    New J. Phys. 13 7 073030 (2011)
    DOI: 10.1088/1367-2630/13/7/073030 [sci-hub, @tor]
  26. The phase diagram of random Boolean networks with nested canalizing functions
    T. P. Peixoto
    Eur. Phys. J. B 78 2 187--192 (2010)
    DOI: 10.1140/epjb/e2010-10559-0 [sci-hub, @tor]
    arXiv: 1007.3411
  27. Boolean networks with robust and reliable trajectories
    Christoph Schmal, Tiago P Peixoto, Barbara Drossel
    New J. Phys. 12 11 113054 (2010)
    DOI: 10.1088/1367-2630/12/11/113054 [sci-hub, @tor]
    arXiv: 1008.1726
  28. Redundancy and Error Resilience in Boolean Networks
    Tiago P. Peixoto
    Phys. Rev. Lett. 104 4 048701 (2010)
    DOI: 10.1103/PhysRevLett.104.048701 [sci-hub, @tor]
    arXiv: 0909.1740
  29. Spatiotemporal correlations of aftershock sequences
    Tiago P. Peixoto, Katharina Doblhoff-Dier, Jörn Davidsen
    J. Geophys. Res. 115 B10309 (2010)
    DOI: 201010.1029/2010JB007626 [sci-hub, @tor]
  30. Polymer confinement effects in aligned carbon nanotubes arrays
    Pitamber Mahanandia, Jörg J. Schneider, Marina Khaneft, Bernd Stühn, Tiago P. Peixoto, Barbara Drossel
    Phys. Chem. Chem. Phys. 12 17 4407 (2010)
    DOI: 10.1039/b922906j [sci-hub, @tor]
  31. Boolean networks with reliable dynamics
    Tiago P. Peixoto, Barbara Drossel
    Phys. Rev. E 80 5 056102 (2009)
    DOI: 10.1103/PhysRevE.80.056102 [sci-hub, @tor]
    arXiv: 0905.0925
  32. Noise in random Boolean networks
    Tiago P. Peixoto, Barbara Drossel
    Phys. Rev. E 79 3 036108 (2009)
    DOI: 10.1103/PhysRevE.79.036108 [sci-hub, @tor]
    arXiv: 0808.3087
  33. Network of recurrent events for the Olami-Feder-Christensen model
    Tiago P. Peixoto, Jörn Davidsen
    Phys. Rev. E 77 6 066107 (2008)
    DOI: 10.1103/PhysRevE.77.066107 [sci-hub, @tor]
    arXiv: 0803.1404
  34. Network of epicenters of the Olami-Feder-Christensen model of earthquakes
    Tiago P. Peixoto, Carmen P. C. Prado
    Phys. Rev. E 74 1 016126 (2006)
    DOI: 10.1103/PhysRevE.74.016126 [sci-hub, @tor]
    arXiv: cond-mat/0602244
  35. Statistics of epicenters in the Olami-Feder-Christensen model in two and three dimensions
    Tiago P. Peixoto, Carmen P. C. Prado
    Physica A 342 1-2 171--177 (2004)
    DOI: 10.1016/j.physa.2004.04.075 [sci-hub, @tor]
  36. Distribution of epicenters in the Olami-Feder-Christensen model
    Tiago P. Peixoto, Carmen P. C. Prado
    Phys. Rev. E 69 2 025101 (2004)
    DOI: 10.1103/PhysRevE.69.025101 [sci-hub, @tor]
    arXiv: cond-mat/0310366
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