Random graphs with a given degree sequence Authors Guillem Perarnau DOI: 10.2436/20.2002.01.112 Keywords: random graphs, degree sequence, models for complex networks, connected components, graph distances, graph enumeration, random graph sampling. Abstract Since the emergence of the notion of complex networks, random graphs have become a fundamental tool for their modeling and analysis. In this paper we address the study of random graphs with a given degree sequence, where the degree of each vertex is predetermined and a random instance that meets these constraints is chosen. Our aim is to introduce the newcomers to this topic by presenting the most relevant results in this area and providing intuition as to why they are valid, without delving into rigorous proofs. Downloads PDF (Català) How to Cite Perarnau, G. (2024). Random graphs with a given degree sequence. Butlletí De La Societat Catalana De Matemàtiques, 38(2), 165–200. Retrieved from https://revistes.iec.cat/index.php/BSCM/article/view/154175 More Citation Formats ACM ACS APA ABNT Chicago Harvard IEEE MLA Turabian Vancouver Download Citation Endnote/Zotero/Mendeley (RIS) BibTeX Issue Vol. 38 No. 2 (2023) Section Articles License The intellectual property of articles belongs to the respective authors.On submitting articles for publication to the journal Butlletí de la Societat Catalana de Matemàtiques, authors accept the following terms:Authors assign to Societat Catalana de Matemàtiques (a subsidiary of Institut d’Estudis Catalans) the rights of reproduction, communication to the public and distribution of the articles submitted for publication to Butlletí de la Societat Catalana de Matemàtiques.Authors answer to Societat Catalana de Matemàtiques for the authorship and originality of submitted articles.Authors are responsible for obtaining permission for the reproduction of all graphic material included in articles.Societat Catalana de Matemàtiques declines all liability for the possible infringement of intellectual property rights by authors.The contents published in the journal, unless otherwise stated in the text or in the graphic material, are subject to a Creative Commons Attribution-NonCommercial-NoDerivs (by-nc-nd) 3.0 Spain licence, the complete text of which may be found at https://creativecommons.org/licenses/by-nc-nd/3.0/es/deed.en. Consequently, the general public is authorised to reproduce, distribute and communicate the work, provided that its authorship and the body publishing it are acknowledged, and that no commercial use and no derivative works are made of it.The journal Butlletí de la Societat Catalana de Matemàtiques is not responsible for the ideas and opinions expressed by the authors of the published articles.