{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,4,7]],"date-time":"2026-04-07T02:06:40Z","timestamp":1775527600716,"version":"3.50.1"},"reference-count":39,"publisher":"Cambridge University Press (CUP)","issue":"1","license":[{"start":{"date-parts":[[2025,11,14]],"date-time":"2025-11-14T00:00:00Z","timestamp":1763078400000},"content-version":"unspecified","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"content-domain":{"domain":["cambridge.org"],"crossmark-restriction":true},"short-container-title":["J. Appl. Probab."],"published-print":{"date-parts":[[2026,3]]},"abstract":"<jats:title>Abstract<\/jats:title>\n                  <jats:p>\n                    We consider an inhomogeneous Erd\u0151s\u2013R\u00e9nyi random graph ensemble with exponentially decaying random disconnection probabilities determined by an independent and identically distributed field of variables with heavy tails and infinite mean associated with the vertices of the graph. This model was recently investigated in the physics literature (Garuccio, Lalli, and Garlaschelli 2023) as a scale-invariant random graph within the context of network renormalization. From a mathematical perspective, the model fits in the class of scale-free inhomogeneous random graphs whose asymptotic geometrical features have recently attracted interest. While for this type of graph several results are known when the underlying vertex variables have finite mean and variance, here instead we consider the case of one-sided stable variables with necessarily infinite mean. To simplify our analysis, we assume that the variables are sampled from a Pareto distribution with parameter\n                    <jats:inline-formula>\n                      <jats:alternatives>\n                        <jats:inline-graphic xmlns:xlink=\"http:\/\/www.w3.org\/1999\/xlink\" mime-subtype=\"png\" xlink:href=\"S0021900225100375_inline1.png\"\/>\n                        <jats:tex-math>$\\alpha\\in(0,1)$<\/jats:tex-math>\n                      <\/jats:alternatives>\n                    <\/jats:inline-formula>\n                    . We start by characterizing the asymptotic distributions of the typical degrees and some related observables. In particular, we show that the degree of a vertex converges in distribution, after proper scaling, to a mixed Poisson law. We then show that correlations among degrees of different vertices are asymptotically non-vanishing, but at the same time a form of asymptotic tail independence is found when looking at the behavior of the joint Laplace transform around zero. Moreover, we present some findings concerning the asymptotic density of wedges and triangles, and show a cross-over for the existence of dust (i.e. disconnected vertices).\n                  <\/jats:p>","DOI":"10.1017\/jpr.2025.10037","type":"journal-article","created":{"date-parts":[[2025,11,14]],"date-time":"2025-11-14T09:33:52Z","timestamp":1763112832000},"page":"375-400","update-policy":"https:\/\/doi.org\/10.1017\/policypage","source":"Crossref","is-referenced-by-count":0,"title":["Inhomogeneous random graphs with infinite-mean fitness variables"],"prefix":"10.1017","volume":"63","author":[{"given":"Luca","family":"Avena","sequence":"first","affiliation":[{"name":"Leiden University and Universit\u00e0 degli Studi di Firenze"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Diego","family":"Garlaschelli","sequence":"additional","affiliation":[{"name":"Lorentz Institute for Theoretical Physics"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Rajat Subhra","family":"Hazra","sequence":"additional","affiliation":[{"name":"Leiden University"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Margherita","family":"Lalli","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"56","published-online":{"date-parts":[[2025,11,14]]},"reference":[{"key":"S0021900225100375_ref11","doi-asserted-by":"publisher","DOI":"10.1073\/pnas.252631999"},{"key":"S0021900225100375_ref29","doi-asserted-by":"publisher","DOI":"10.1038\/nphys266"},{"key":"S0021900225100375_ref32","doi-asserted-by":"publisher","DOI":"10.1017\/9781316779422"},{"key":"S0021900225100375_ref22","doi-asserted-by":"publisher","DOI":"10.1142\/4016"},{"key":"S0021900225100375_ref12","unstructured":"[12] Cipriani, A. and Salvi, M. (2021). Scale-free percolation mixing time. Preprint, arXiv:2111.05201."},{"key":"S0021900225100375_ref20","doi-asserted-by":"publisher","DOI":"10.1103\/PhysRevLett.99.038701"},{"key":"S0021900225100375_ref1","doi-asserted-by":"publisher","DOI":"10.2298\/PIM0694171J"},{"key":"S0021900225100375_ref21","doi-asserted-by":"publisher","DOI":"10.1214\/16-AAP1270"},{"key":"S0021900225100375_ref17","doi-asserted-by":"publisher","DOI":"10.1038\/s41567-018-0072-5"},{"key":"S0021900225100375_ref37","doi-asserted-by":"publisher","DOI":"10.1017\/apr.2020.42"},{"key":"S0021900225100375_ref23","doi-asserted-by":"publisher","DOI":"10.1103\/PhysRevE.106.054303"},{"key":"S0021900225100375_ref33","unstructured":"[33] van der Hofstad, R. (2022). Random Graphs and Complex Networks, vol. 2. Available at: https:\/\/www.win.tue.nl\/rhofstad\/NotesRGCNII.pdf."},{"key":"S0021900225100375_ref38","doi-asserted-by":"publisher","DOI":"10.1038\/s41567-022-01866-8"},{"key":"S0021900225100375_ref8","doi-asserted-by":"publisher","DOI":"10.1103\/PhysRevE.68.036112"},{"key":"S0021900225100375_ref19","doi-asserted-by":"publisher","DOI":"10.1103\/PhysRevResearch.5.043101"},{"key":"S0021900225100375_ref24","doi-asserted-by":"publisher","DOI":"10.1239\/aap\/1143936140"},{"key":"S0021900225100375_ref27","doi-asserted-by":"publisher","DOI":"10.1088\/0305-4470\/38\/43\/003"},{"key":"S0021900225100375_ref28","volume-title":"Stable Non-Gaussian Random Processes. Stochastic Models with Infinite Variance","author":"Samorodnitsky","year":"1994"},{"key":"S0021900225100375_ref6","volume-title":"Regular Variation","author":"Bingham","year":"1989"},{"key":"S0021900225100375_ref26","doi-asserted-by":"publisher","DOI":"10.1007\/s10687-015-0216-2"},{"key":"S0021900225100375_ref10","doi-asserted-by":"publisher","DOI":"10.1103\/PhysRevLett.89.258702"},{"key":"S0021900225100375_ref18","doi-asserted-by":"publisher","DOI":"10.1038\/nphys729"},{"key":"S0021900225100375_ref13","doi-asserted-by":"publisher","DOI":"10.1214\/12-AIHP480"},{"key":"S0021900225100375_ref35","unstructured":"[35] van der Hofstad, R. and Komjathy, J. (2017). Explosion and distances in scale-free percolation. Preprint, arXiv:1706.02597."},{"key":"S0021900225100375_ref2","doi-asserted-by":"publisher","DOI":"10.1007\/978-1-4757-3069-2"},{"key":"S0021900225100375_ref3","doi-asserted-by":"publisher","DOI":"10.1007\/s00440-017-0760-6"},{"key":"S0021900225100375_ref39","doi-asserted-by":"publisher","DOI":"10.1103\/RevModPhys.55.583"},{"key":"S0021900225100375_ref7","doi-asserted-by":"publisher","DOI":"10.1038\/s42254-020-00264-4"},{"key":"S0021900225100375_ref9","doi-asserted-by":"publisher","DOI":"10.1002\/rsa.20168"},{"key":"S0021900225100375_ref15","doi-asserted-by":"publisher","DOI":"10.1002\/rsa.20490"},{"key":"S0021900225100375_ref30","doi-asserted-by":"publisher","DOI":"10.1007\/s10687-006-7963-z"},{"key":"S0021900225100375_ref31","doi-asserted-by":"publisher","DOI":"10.1002\/rsa.20450"},{"key":"S0021900225100375_ref36","first-page":"223","article-title":"When is a scale-free graph ultra-small?","volume":"169","author":"van der Hofstad","year":"2017","journal-title":"Phys."},{"key":"S0021900225100375_ref34","doi-asserted-by":"publisher","DOI":"10.1103\/PhysRevE.95.022307"},{"key":"S0021900225100375_ref16","doi-asserted-by":"publisher","DOI":"10.1038\/s42254-025-00817-5"},{"key":"S0021900225100375_ref25","doi-asserted-by":"publisher","DOI":"10.1103\/PhysRevE.79.026104"},{"key":"S0021900225100375_ref5","doi-asserted-by":"publisher","DOI":"10.1214\/21-AAP1693"},{"key":"S0021900225100375_ref4","doi-asserted-by":"publisher","DOI":"10.1214\/EJP.v15-817"},{"key":"S0021900225100375_ref14","doi-asserted-by":"publisher","DOI":"10.3390\/risks3010001"}],"container-title":["Journal of Applied Probability"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/www.cambridge.org\/core\/services\/aop-cambridge-core\/content\/view\/S0021900225100375","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2026,4,7]],"date-time":"2026-04-07T01:25:41Z","timestamp":1775525141000},"score":1,"resource":{"primary":{"URL":"https:\/\/www.cambridge.org\/core\/product\/identifier\/S0021900225100375\/type\/journal_article"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2025,11,14]]},"references-count":39,"journal-issue":{"issue":"1","published-print":{"date-parts":[[2026,3]]}},"alternative-id":["S0021900225100375"],"URL":"https:\/\/doi.org\/10.1017\/jpr.2025.10037","relation":{},"ISSN":["0021-9002","1475-6072"],"issn-type":[{"value":"0021-9002","type":"print"},{"value":"1475-6072","type":"electronic"}],"subject":[],"published":{"date-parts":[[2025,11,14]]},"assertion":[{"value":"\u00a9 The Author(s), 2025. Published by Cambridge University Press on behalf of Applied Probability Trust","name":"copyright","label":"Copyright","group":{"name":"copyright_and_licensing","label":"Copyright and Licensing"}},{"value":"This is an Open Access article, distributed under the terms of the Creative Commons Attribution licence (https:\/\/creativecommons.org\/licenses\/by\/4.0\/), which permits unrestricted re-use, distribution, and reproduction in any medium, provided the original work is properly cited.","name":"license","label":"License","group":{"name":"copyright_and_licensing","label":"Copyright and Licensing"}},{"value":"This content has been made available to all.","name":"free","label":"Free to read"}]}}