Modelling citation and information graphs: a complex network approach

• Grant number: 17/13464-6
• Support Opportunities: Scholarships abroad - Research
• Start date: October 13, 2017
• End date: October 12, 2018
• Field of knowledge: Physical Sciences and Mathematics - Computer Science
• Principal Investigator: Diego Raphael Amancio
• Grantee: Diego Raphael Amancio
• Host Investigator: Filippo Menczer
• Host Institution: Instituto de Ciências Matemáticas e de Computação (ICMC). Universidade de São Paulo (USP). São Carlos , SP, Brazil
• Institution abroad: Indiana University, United States

Abstract

Citation and information networks have been extensively studied along the past years.While much insight has been obtained from particular topological attributes (e.g. degree distribution and cycles), no large scale study has been conducted on the effects of including additional metadata information to improve the characterization of such systems. In this context, this project aims at investigating how metadata information obtained from collaboration, geographical and information networks can be used to improve the characterization of citation networks. Upon intertwining text analysis and network theory, we also intend to provide an improved characterization of the interdisciplinarity of papers and concepts inside research subfields. In addition to providing a better understanding of the underlying processes driving the organization of citation networks, we expect to unravel novel features that are able to predict the future impact of papers, given their initial configuration in citation and information networks.

Scientific publications

(8)

(References retrieved automatically from Web of Science and SciELO through information on FAPESP grants and their corresponding numbers as mentioned in the publications by the authors)

GEWERS, FELIPE L.; FERREIRA, GUSTAVO R.; DE ARRUDA, HENRIQUE F.; SILVA, FILIPI N.; COMIN, CESAR H.; AMANCIO, DIEGO R.; COSTA, LUCIANO DA F.. Principal Component Analysis: A Natural Approach to Data Exploration. ACM COMPUTING SURVEYS, v. 54, n. 4, JUL 2021. (17/13464-6, 18/09125-4, 15/22308-2, 16/19069-9, 18/10489-0, 11/50761-2, 19/16223-5)

DE ARRUDA, HENRIQUE F.; MARINHO, VANESSA Q.; COSTA, LUCIANO DA F.; AMANCIO, DIEGO R.. Paragraph-based representation of texts: A complex networks approach. INFORMATION PROCESSING & MANAGEMENT, v. 56, n. 3, p. 479-494, MAY 2019. (17/13464-6, 15/22308-2, 16/19069-9, 11/50761-2, 15/05676-8)

CORREA, JR., EDILSON A.; AMANCIO, DIEGO R.. Word sense induction using word embeddings and community detection in complex networks. PHYSICA A-STATISTICAL MECHANICS AND ITS APPLICATIONS, v. 523, p. 180-190, JUN 1 2019. (14/20830-0, 17/13464-6, 16/19069-9)

MACHICAO, JEANETH; CORREA, JR., EDILSON A.; MIRANDA, GISELE H. B.; AMANCIO, DIEGO R.; BRUNO, ODEMIR M.. Authorship attribution based on Life-Like Network Automata. PLoS One, v. 13, n. 3, MAR 22 2018. (17/13464-6, 14/20830-0, 15/05899-7, 16/19069-9, 14/08026-1)

SILVA, FILIPI NASCIMENTO; TANDON, ADITYA; AMANCIO, DIEGO RAPHAEL; FLAMMINI, ALESSANDRO; MENCZER, FILIPPO; MILOJEVIC, STASA; FORTUNATO, SANTO. Recency predicts bursts in the evolution of author citations. QUANTITATIVE SCIENCE STUDIES, v. 1, n. 3, p. 1298-1308, SUM 2020. (17/13464-6, 15/08003-4, 17/09280-7)

LIMA, THALES S.; DE ARRUDA, HENRIQUE F.; SILVA, FILIPI N.; COMIN, CESAR H.; AMANCIO, DIEGO R.; COSTA, LUCIANO DA F.. The dynamics of knowledge acquisition via self-learning in complex networks. Chaos, v. 28, n. 8, AUG 2018. (17/13464-6, 17/09280-7, 15/22308-2, 16/19069-9, 11/50761-2, 15/08003-4, 15/18942-8)

CORREA, JR., EDILSON A.; LOPES, ALNEU A.; AMANCIO, DIEGO R.. Word sense disambiguation: A complex network approach. INFORMATION SCIENCES, v. 442, p. 103-113, MAY 2018. (17/13464-6, 16/19069-9, 15/14228-9, 14/20830-0, 11/22749-8)

TOHALINO, JORGE V.; AMANCIO, DIEGO R.. Extractive multi-document summarization using multilayer networks. PHYSICA A-STATISTICAL MECHANICS AND ITS APPLICATIONS, v. 503, p. 526-539, AUG 1 2018. (17/13464-6, 16/19069-9)