eprintid: 3521 rev_number: 11 eprint_status: archive userid: 36 dir: disk0/00/00/35/21 datestamp: 2016-07-29 10:55:02 lastmod: 2016-07-29 11:00:54 status_changed: 2016-07-29 10:55:02 type: monograph metadata_visibility: no_search creators_name: Aletti, Giacomo creators_name: Crimaldi, Irene creators_name: Ghiglietti, Andrea creators_id: creators_id: irene.crimaldi@imtlucca.it creators_id: title: Synchronization of Reinforced Stochastic Processes with a Network-based Interaction ispublished: submitted subjects: HA subjects: QA divisions: EIC full_text_status: none monograph_type: technical_report keywords: Keywords: Interacting Systems; Reinforced Stochastic Processes; Urn Models; Complex Networks; Synchronization; Asymptotic Normality. - 2010 AMS classification: 60F05, 60F15, 60K35, 62P35, 91D30 abstract: Randomly evolving systems composed by elements which interact among each other have always been of great interest in several scientific fields. This work deals with the synchronization phenomenon, that could be roughly defined as the tendency of different components to adopt a common behavior. We continue the study of a model of interacting stochastic processes with reinforcement, that recently has been introduced in Crimaldi et al. (2016, arXiv:1602.06217). Generally speaking, by reinforcement we mean any mechanism for which the probability that a given event occurs has an increasing dependence on the number of times that events of the same type occurred in the past. The particularity of systems of such stochastic processes is that synchronization is induced along time by the reinforcement mechanism itself and does not require a large-scale limit. We focus on the relationship between the topology of the network of the interactions and the long-time synchronization phenomenon. After proving the almost sure synchronization, we provide some CLTs in the sense of stable convergence that establish the convergence rates and the asymptotic distributions for both convergence to the common limit and synchronization. The obtained results lead to the construction of asymptotic confidence intervals for the limit random variable and of statistical tests to make inference on the topology of the network given the observation of the reinforced stochastic processes positioned at the vertices. date: 2016 date_type: submitted publisher: arXiv pages: 40 institution: IMT Institute for Advanced Studies Lucca refereed: FALSE official_url: http://arxiv.org/abs/1607.08514 projects: CRISIS Lab citation: Aletti, Giacomo and Crimaldi, Irene and Ghiglietti, Andrea Synchronization of Reinforced Stochastic Processes with a Network-based Interaction. Technical Report arXiv (Submitted)