UCL Discovery
UCL home » Library Services » Electronic resources » UCL Discovery

A dynamic network model with persistent links and node-specific latent variables, with an application to the interbank market

Mazzarisi, P; Barucca, P; Lillo, F; Tantari, D; (2020) A dynamic network model with persistent links and node-specific latent variables, with an application to the interbank market. European Journal of Operational Research , 281 (1) pp. 50-65. 10.1016/j.ejor.2019.07.024. Green open access

[thumbnail of DNM_EJOR.pdf]
Preview
Text
DNM_EJOR.pdf - Accepted Version

Download (891kB) | Preview

Abstract

We propose a dynamic network model where two mechanisms control the probability of a link between two nodes: (i) the existence or absence of this link in the past, and (ii) node-specific latent variables (dynamic fitnesses) describing the propensity of each node to create links. Assuming a Markov dynamics for both mechanisms, we propose an Expectation-Maximization algorithm for model estimation and inference of the latent variables. The estimated parameters and fitnesses can be used to forecast the presence of a link in the future. We apply our methodology to the e-MID interbank network for which the two linkage mechanisms are associated with two different trading behaviors in the process of network formation, namely preferential trading and trading driven by node-specific characteristics. The empirical results allow to recognize preferential lending in the interbank market and indicate how a method that does not account for time-varying network topologies tends to overestimate preferential linkage.

Type: Article
Title: A dynamic network model with persistent links and node-specific latent variables, with an application to the interbank market
Open access status: An open access version is available from UCL Discovery
DOI: 10.1016/j.ejor.2019.07.024
Publisher version: https://doi.org/10.1016/j.ejor.2019.07.024
Language: English
Additional information: This version is the author accepted manuscript. For information on re-use, please refer to the publisher’s terms and conditions.
Keywords: Temporal networks, Markov processes, Expectation-Maximization, Interbank market, Link prediction
UCL classification: UCL
UCL > Provost and Vice Provost Offices > UCL BEAMS
UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of Engineering Science
UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of Engineering Science > Dept of Computer Science
URI: https://discovery.ucl.ac.uk/id/eprint/10081410
Downloads since deposit
62Downloads
Download activity - last month
Download activity - last 12 months
Downloads by country - last 12 months

Archive Staff Only

View Item View Item