eprintid: 2849
rev_number: 8
eprint_status: archive
userid: 69
dir: disk0/00/00/28/49
datestamp: 2015-11-06 12:41:43
lastmod: 2015-11-06 12:41:43
status_changed: 2015-11-06 12:41:43
type: article
metadata_visibility: show
creators_name: Liao, Hao
creators_name: Xiao, Rui
creators_name: Cimini, Giulio
creators_name: Medo, Matúš
creators_id: 
creators_id: 
creators_id: giulio.cimini@imtlucca.it
creators_id: 
title: Network-Driven Reputation in Online Scientific Communities
ispublished: pub
subjects: GT
subjects: HA
divisions: EIC
full_text_status: public
keywords: Econolhysics, Algorithms, Social networks, Aging, Social research
abstract: The ever-increasing quantity and complexity of scientific production have made it difficult for researchers to keep track of advances in their own fields. This, together with growing popularity of online scientific communities, calls for the development of effective information filtering tools. We propose here an algorithm which simultaneously computes reputation of users and fitness of papers in a bipartite network representing an online scientific community. Evaluation on artificially-generated data and real data from the Econophysics Forum is used to determine the method's best-performing variants. We show that when the input data is extended to a multilayer network including users, papers and authors and the algorithm is correspondingly modified, the resulting performance improves on multiple levels. In particular, top papers have higher citation count and top authors have higher <italic>h</italic>-index than top papers and top authors chosen by other algorithms. We finally show that our algorithm is robust against persistent authors (spammers) which makes the method readily applicable to the existing online scientific communities.
date: 2014
date_type: published
publication: PloS One
volume: 9
number: 12
publisher: Public Library of Science
pagerange: e112022
id_number: 10.1371%2Fjournal.pone.0112022
refereed: TRUE
issn: 1932-6203
official_url: http://dx.doi.org/10.1371%2Fjournal.pone.0112022
citation:   Liao, Hao and Xiao, Rui and Cimini, Giulio and Medo, Matúš  Network-Driven Reputation in Online Scientific Communities.  PloS One, 9 (12).  e112022.  ISSN 1932-6203      (2014)  
document_url: http://eprints.imtlucca.it/2849/1/journal.pone.0112022.pdf