eprintid: 3700
rev_number: 15
eprint_status: archive
userid: 36
dir: disk0/00/00/37/00
datestamp: 2017-05-08 12:56:40
lastmod: 2018-01-31 12:42:32
status_changed: 2017-05-08 12:56:43
type: article
metadata_visibility: show
creators_name: Crimaldi, Irene
creators_name: Del Vicario, Michela
creators_name: Morrison, Greg
creators_name: Quattrociocchi, Walter
creators_name: Riccaboni, Massimo
creators_id: irene.crimaldi@imtlucca.it
creators_id: michela.delvicario@imtlucca.it
creators_id: greg.morrison@imtlucca.it
creators_id: walter.quattrociocchi@imtlucca.it
creators_id: massimo.riccaboni@imtlucca.it
title: Modeling networks with a growing feature-structure
ispublished: pub
subjects: H1
subjects: HA
divisions: EIC
full_text_status: none
keywords: probabilistic modeling, complex network, assortativity, preferential attachment, triadic closure.
abstract: We present a new network model accounting for multidimensional assortativity. Each node is characterized by a number of features and the probability of a link between two nodes depends on common features. We do not fix a priori the total number of possible features. The bipartite network of the nodes and the features evolves according to a stochastic dynamics that depends on
three parameters that respectively regulate the preferential attachment in the transmission of the features to the nodes, the number of new features per node, and the power-law behavior of the total number of observed features.
Our model also takes into account a mechanism of triadic closure. We provide theoretical results and statistical estimators for the parameters of the model.
We validate our approach by means of simulations and an empirical analysis of a network of scientific collaborations.
date: 2017
date_type: published
publication: Interdisciplinary Information Sciences
volume: 23
number: 2
publisher: Tohoku University. Graduate School of Information Sciences
pagerange: 127-144
refereed: TRUE
issn: 1340-9050
official_url: https://www.is.tohoku.ac.jp/en/iis/
related_url_url: http://eprints.imtlucca.it/2667/
projects: Crisis Lab
citation:   Crimaldi, Irene and Del Vicario, Michela and Morrison, Greg and Quattrociocchi, Walter and Riccaboni, Massimo  Modeling networks with a growing feature-structure.  Interdisciplinary Information Sciences, 23 (2).  pp. 127-144.  ISSN 1340-9050      (2017)