Abstract
Construct recursively a long string of words \(w_1,\ldots w_n,\) such that at each step k, \(w_{k+1}\) is a new word with a fixed probability \(p\in (0,1),\) and repeats some preceding word with complementary probability \(1-p.\) More precisely, given a repetition occurs, \(w_{k+1}\) repeats the jth word with probability proportional to \(j^{\alpha }\) for \(j=1,\ldots , k.\) We show that the proportion of distinct words occurring exactly \(\ell \) times converges as the length n of the string goes to infinity to some probability mass function in the variable \(\ell \ge 1,\) whose tail decays as a power function when \(p<1/(1+\alpha ),\) and exponentially fast when \(p>1/(1+\alpha ).\)
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Athreya, K.B., Ney, P.E.: Branching processes. Die Grundlehren der mathematischen Wissenschaften, Band 196. Springer, New York (1972)
Bornholdt, S., Ebel, H.: World Wide Web scaling exponent from Simon’s 1955 model. Phys. Rev. E 64, 035104 (2001)
Cattuto, C., Loreto, V., Servedio, V.D.P.: A Yule–Simon process with memory. Europhys. Lett. 76(2), 208 (2006)
Dorogovtsev, S.N., Mendes, J.F.F.: Evolution of networks with aging of sites. Phys. Rev. E 62, 1842–1845 (2000)
Dorogovtsev, S.N., Mendes, J.F.F.: Evolution of Networks: From Biological Nets to the Internet and WWW. Oxford University Press, Oxford (2003)
Durrett, R.: Random Graph Dynamics. Cambridge Series in Statistical and Probabilistic Mathematics, vol. 20. Cambridge University Press, Cambridge (2007)
Garavaglia, A., van der Hofstad, R., Woeginger, G.: The dynamics of power laws: fitness and aging in preferential attachment trees. J. Stat. Phys. 168(6), 1137–1179 (2017)
Jagers, P.: General branching processes as Markov fields. Stoch. Process. Appl. 32(2), 183–212 (1989)
Kallenberg, O.: Foundations of Modern Probability. Probability and Its Applications (New York), 2nd edn. Springer, New York (2002)
Kyprianou, A.E.: Fluctuations of Lévy Processes with Applications. Introductory Lectures. Universitext, 2nd edn. Springer, Heidelberg (2014)
Lansky, P., Polito, F., Sacerdote, L.: Generalized nonlinear Yule models. J. Stat. Phys. 165(3), 661–679 (2016)
Nerman, O.: On the convergence of supercritical general (C–M–J) branching processes. Z. Wahrsch. Verwandte Geb. 57(3), 365–395 (1981)
Pachon, A., Polito, F., Sacerdote, L.: Random graphs associated to some discrete and continuous time preferential attachment models. J. Stat. Phys. 162(6), 1608–1638 (2016)
Polito, F.: Studies on generalized Yule models. Mod. Stoch. Theory Appl. 6(1), 1–55 (2019)
Schaigorodsky, A.L., Perotti, J.I., Almeira, N., Billoni, O.V.: Short-ranged memory model with preferential growth. Phys. Rev. E 97, 022132 (2018)
Simon, H.A.: On a class of skew distribution functions. Biometrika 42(3/4), 425–440 (1955)
Sun, J., Staab, S., Karimi, F.: Decay of relevance in exponentially growing networks. In: Proceedings of the 10th ACM Conference on Web Science, WebSci ’18, New York, NY, USA, pp. 343–351. ACM (2018)
van der Hofstad, R.: Random Graphs and Complex Networks. Cambridge Series in Statistical and Probabilistic Mathematics, [43], vol. 1. Cambridge University Press, Cambridge (2017)
Wang, M., Yu, G., Yu, D.: Measuring the preferential attachment mechanism in citation networks. Physica A 387(18), 4692–4698 (2008)
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Communicated by Eric A. A. Carlen.
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Bertoin, J. A Version of Herbert A. Simon’s Model with Slowly Fading Memory and Its Connections to Branching Processes. J Stat Phys 176, 679–691 (2019). https://doi.org/10.1007/s10955-019-02316-1
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DOI: https://doi.org/10.1007/s10955-019-02316-1
Keywords
- Yule–Simon model
- Preferential attachment
- Memory
- Continuous state branching process
- Crump–Mode–Jagers branching process
- Heavy tail distributions