Estimating the resolution limit of the map equation in community detection T Kawamoto, M Rosvall Physical Review E 91 (1), 012809, 2015 | 78 | 2015 |

Mean-field theory of graph neural networks in graph partitioning T Kawamoto, M Tsubaki, T Obuchi Advances in Neural Information Processing Systems 31, 2018 | 61 | 2018 |

A stochastic model of tweet diffusion on the Twitter network T Kawamoto Physica A: Statistical Mechanics and its Applications 392 (16), 3470-3475, 2013 | 41 | 2013 |

Cross-validation estimate of the number of clusters in a network T Kawamoto, Y Kabashima Scientific reports 7 (1), 3327, 2017 | 38 | 2017 |

Probabilistic interpretation of resonant states N Hatano, T Kawamoto, J Feinberg Pramana 73, 553-564, 2009 | 35 | 2009 |

Limitations in the spectral method for graph partitioning: Detectability threshold and localization of eigenvectors T Kawamoto, Y Kabashima Physical Review E 91 (6), 062803, 2015 | 33 | 2015 |

A tractable fully bayesian method for the stochastic block model K Hayashi, T Konishi, T Kawamoto arXiv preprint arXiv:1602.02256, 2016 | 21 | 2016 |

Viral spreading of daily information in online social networks T Kawamoto, N Hatano Physica A: Statistical Mechanics and its Applications 406, 34-41, 2014 | 21 | 2014 |

Localized eigenvectors of the non-backtracking matrix T Kawamoto Journal of Statistical Mechanics: Theory and Experiment 2016 (2), 023404, 2016 | 20 | 2016 |

Algorithmic detectability threshold of the stochastic block model T Kawamoto arXiv preprint arXiv:1710.08841, 2017 | 18 | 2017 |

Test of fluctuation theorems in non-Markovian open quantum systems T Kawamoto, N Hatano Physical Review E 84 (3), 031116, 2011 | 16 | 2011 |

Comparative analysis on the selection of number of clusters in community detection T Kawamoto, Y Kabashima arXiv preprint arXiv:1606.07668, 2016 | 15 | 2016 |

Detectability of the spectral method for sparse graph partitioning T Kawamoto, Y Kabashima Europhysics Letters 112 (4), 40007, 2015 | 12 | 2015 |

Counting the number of metastable states in the modularity landscape: Algorithmic detectability limit of greedy algorithms in community detection T Kawamoto, Y Kabashima Physical Review E 99 (1), 010301, 2019 | 9 | 2019 |

Detectability thresholds of general modular graphs T Kawamoto, Y Kabashima Physical Review E 95 (1), 012304, 2017 | 8 | 2017 |

Democratic classification of free-format survey responses with a network-based framework T Kawamoto, T Aoki Nature Machine Intelligence 1 (7), 322-327, 2019 | 6 | 2019 |

Consistency between ordering and clustering methods for graphs T Kawamoto, M Ochi, T Kobayashi Physical Review Research 5 (2), 023006, 2023 | 5 | 2023 |

Algorithmic infeasibility of community detection in higher-order networks T Kawamoto arXiv preprint arXiv:1710.08816, 2017 | 5 | 2017 |

Graph-based open-ended survey on concerns related to COVID-19 T Kawamoto, T Aoki, M Ueda Plos one 16 (8), e0256212, 2021 | 4 | 2021 |

Sequential locality of graphs and its hypothesis testing T Kawamoto, T Kobayashi Physical Review Research 5 (2), 023007, 2023 | 3 | 2023 |