---
categories: [literature note, ]
title: Note de lecture de *Bipartite Stochastic Block Models with Tiny Clusters* de
Stefan Neumann.
bibliography: ../these_ref.bib
---
::: {.callout-note title="Synthèse"}
**Contribution**::
**Related**::
:::
::: {.callout-note title="Markdown"}
**FirstAuthor**:: Neumann, Stefan
**Title**:: Bipartite Stochastic Block Models with Tiny Clusters
**Year**:: 2018
**Citekey**:: neumannBipartiteStochasticBlock2018
**itemType**:: conferencePaper
**Volume**:: 31
**Publisher**:: Curran Associates, Inc.
:::
::: {.callout-note title="Pièces-jointes"}
- [Full Text PDF](file:///home/louis/snap/zotero-snap/common/Zotero/storage/NNDNV2GV/Neumann%20-%202018%20-%20Bipartite%20Stochastic%20Block%20Models%20with%20Tiny%20Clusters.pdf).
:::
::: {.callout-note title="Abstract"}
::::
# Prise de notes
{{< include local_macros.tex.md >}}
![[local_macros.tex]]
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Vaguement en lien avec notre sujet de papier.
Propose une méthode pour détecter des petits clusters du "côté droit" du graphe (les noeuds $j \in V$). Avec des tailles de clusters de l'ordre de $n_{2}^{\varepsilon}$ où $\varepsilon>0$
La preuve de la proposition 4 sur la récupération des clusters de $V$ est intéressante.
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# Annotations importées
%% begin annotations %%
## Importées : 2026-05-22 3:23 pm
Quote
> For V there are clusters V1, … , Vk with Vi ⊆ V ; we do not assume that the Vj are disjoint or that their union equals V
Quote
> Fix two probabilities p > q ≥ 0. For any two vertices u ∈ Ui and v ∈ Vi, insert an edge with probability p; for u ∈ Ui and v 6∈ Vi, insert an edge with probability q
## Importées : 2026-05-22 3:31 pm
Quote
> We make the decision for the parameter based on the likelihood of observing Zv edges incident upon v. Parameter p is more likely if: |Ui
1 −
1 − q |Ui|−
Ui
Zv pZv (1 − p)|Ui|−Z
q Zv 1 −
1 − q
≥
|U
qZv (1 − q)|Ui|−
v Solving this inequality for Zv gives that one should decide for parameter p if Zv ≥ θ|Ui|, where θ
as in Equation
%% end annotations %%
%% Import Date: 2026-05-22T15:31:44.079+02:00 %%