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20212026
most citedRandom matrices with row constraints and eigenvalue distributions of graph Laplacians

14 citations · 28 across the 7 of their papers we have counts for

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7 papers

cond-mat.dis-nn2026

Motif enrichment as a driver of scale-free behavior in rewired random regular graphs

Pawat Akara-pipattana, Sergei Nechaev

We study the statistics of rewired random regular graphs (RRGs) in a mixed ensemble, where the average number of triangles is controlled by the fugacity , while the number of ve…

cond-mat.stat-mech2025

A set of master variables for the two-star random graph

Pawat Akara-pipattana, Oleg Evnin

The two-star random graph is the simplest exponential random graph model with nontrivial interactions between the graph edges. We propose a set of auxiliary variables that control…

cond-mat.stat-mech2024★ 1 cited

Statistical field theory of random graphs with prescribed degrees

Pawat Akara-pipattana, Oleg Evnin

Statistical field theory methods have been very successful with a number of random graph and random matrix problems, but it is challenging to apply these methods to graphs with pre…

cond-mat.dis-nn2024★ 4 cited

Hammerstein equations for sparse random matrices

Pawat Akara-pipattana, Oleg Evnin

Finding eigenvalue distributions for a number of sparse random matrix ensembles can be reduced to solving nonlinear integral equations of the Hammerstein type. While a systematic m…

cond-mat.dis-nn2022★ 14 cited

Random matrices with row constraints and eigenvalue distributions of graph Laplacians

Pawat Akara-pipattana, Oleg Evnin

Symmetric matrices with zero row sums occur in many theoretical settings and in real-life applications. When the offdiagonal elements of such matrices are i.i.d. random variables a…

cond-mat.dis-nn2021

Resistance distance distribution in large sparse random graphs

Pawat Akara-pipattana, Thiparat Chotibut, Oleg Evnin

We consider an Erdos-Renyi random graph consisting of N vertices connected by randomly and independently drawing an edge between every pair of them with probability c/N so that at…