◍wovepaper
SearchResearchersInstitutions
Sign in
researcher

T. Kawamoto

31 papers hereh-index 12408 citations46 works total

Matching runs newest-first, so older work may not be attached to this profile yet.

author position
  • sole author9
  • first author15
  • middle author1
  • last author6

Across the 31 of 31 papers where every author was matched, so the position is known.

fields
  • cs.SI14
  • physics.soc-ph9
  • cond-mat.stat-mech3
  • cs.LG3
  • cs.DB1
  • quant-ph1
same name
  • T. Kawamoto — 292 papers
  • T. Kawamoto — 58 papers
  • T. Kawamoto — 32 papers
  • T. Kawamoto — 31 papers
  • T. Kawamoto — 26 papers, h 64
  • T. Kawamoto — 26 papers, h 40

Either other researchers who publish under this name, or the same person where the external sources have not merged their records.

identity via Semantic Scholar / OpenAlex

activity
20092023
most citedEstimating the resolution limit of the map equation in community detection

74 citations · 355 across the 31 of their papers we have counts for

collaborators
Showing 2016Show all

4 papers · 1 filter

cs.SI2016★ 6 cited

Detectability thresholds of general modular graphs

Tatsuro Kawamoto, Yoshiyuki Kabashima

We investigate the detectability thresholds of various modular structures in the stochastic block model. Our analysis reveals how the detectability threshold is related to the deta…

cs.SI2016★ 14 cited

Comparative analysis on the selection of number of clusters in community detection

Tatsuro Kawamoto, Yoshiyuki Kabashima

We conduct a comparative analysis on various estimates of the number of clusters in community detection. An exhaustive comparison requires testing of all possible combinations of f…

cs.SI2016★ 33 cited

Cross-validation estimate of the number of clusters in a network

Tatsuro Kawamoto, Yoshiyuki Kabashima

Network science investigates methodologies that summarise relational data to obtain better interpretability. Identifying modular structures is a fundamental task, and assessment of…

cs.LG2016★ 9 cited

A Tractable Fully Bayesian Method for the Stochastic Block Model

Kohei Hayashi, Takuya Konishi, Tatsuro Kawamoto

The stochastic block model (SBM) is a generative model revealing macroscopic structures in graphs. Bayesian methods are used for (i) cluster assignment inference and (ii) model sel…

◍wovepaper

Papers, researchers and institutions, woven together.

Explore
  • Search
  • Researchers
  • Institutions
Account
  • Library
  • Chat
Data
  • arXiv.org
  • Semantic Scholar
  • OpenAlex
  • Latest RSS
AboutContactPrivacyDevelopersllms.txtopenapi.json
Not affiliated with arXiv. Researcher data from Semantic Scholar (ODC-BY) and OpenAlex.