2024/01/21 by Natalia M. Markovich, Markovich, N. M., Marijus Vaičiulis +1
Biochemistry, Genetics and Molecular Biology · Mathematics · Physics and Astronomy · #Bioinformatics and Genomic Networks #Complex Network Analysis Techniques #FOS: Mathematics #Statistics Theory (math.ST) #Stochastic processes and statistical mechanics
paper · pdf · doi:10.48550/arxiv.2401.11548
openalex publication_date 2024/01/21 · openalex created_date 2024/01/24 · openalex updated_date 2026/07/28
The clustering attachment model introduced in the paper Bagrow and Brockmann (2013) may be used as an evolution tool of random networks. We propose a new clustering attachment model which can be considered as the limit of the former clustering attachment model as model parameter α tends to zero. We focus on the study of a total triangle count that is considered in the literature as an important characteristic of the network clustering. It is proved that total triangle count tends to infinity a.s. for the proposed model. Our simulation study is used for the modeling of sequences of triangle counts. It is based on the interpretation of the clustering attachment as a generalized Pólya-Eggenberger urn model that is introduced here at first time.