eprintid: 2844
rev_number: 7
eprint_status: archive
userid: 69
dir: disk0/00/00/28/44
datestamp: 2015-11-06 11:14:47
lastmod: 2015-11-06 11:14:47
status_changed: 2015-11-06 11:14:47
type: article
metadata_visibility: show
creators_name: Zeng, An
creators_name: Cimini, Giulio
creators_id: 
creators_id: giulio.cimini@imtlucca.it
title: Removing spurious interactions in complex networks
ispublished: pub
subjects: QC
divisions: EIC
full_text_status: public
abstract: Identifying and removing spurious links in complex networks is meaningful for many real applications and is crucial for improving the reliability of network data, which, in turn, can lead to a better understanding of the highly interconnected nature of various social, biological, and communication systems. In this paper, we study the features of different simple spurious link elimination methods, revealing that they may lead to the distortion of networks’ structural and dynamical properties. Accordingly, we propose a hybrid method that combines similarity-based index and edge-betweenness centrality. We show that our method can effectively eliminate the spurious interactions while leaving the network connected and preserving the network's functionalities.
date: 2012-03
date_type: published
publication: Physical Review E
volume: 85
publisher: American Physical Society
pagerange: 036101
id_number: 10.1103/PhysRevE.85.036101
refereed: TRUE
issn: 1539-3755
official_url: http://link.aps.org/doi/10.1103/PhysRevE.85.036101
citation:   Zeng, An and Cimini, Giulio  Removing spurious interactions in complex networks.  Physical Review E, 85.  036101.  ISSN 1539-3755      (2012)  
document_url: http://eprints.imtlucca.it/2844/1/1110.5186v1.pdf