Scientific communities detection and analysis in the bibliographic database: SCOPUS

Angel Fiallos, Karina Jimenes, Carmen Vaca, Xavier Ochoa

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

In recent years, Governments of many countries had promoted higher education in exclusive areas and disciplines to improve the quality of inhabitant's life, economy, and public management. However, there is no an effective way to help governments to verify if scientific works and research centers are aligned to a country priority research area. A dataset of 4552 scientific works associated to 29 research areas in Ecuador was collected from a bibliographic database SCOPUS. This work is focused on detection of the most important Ecuadorian research areas based on scientific collaboration in scientific publications in such areas through a proposed methodology. The methodology is subject to Social Network Analysis and Natural Language Processing to identify collaboration communities and the most relevant topics on densely connected communities. Finally, an exploratory analysis of a case study thought this methodology is presented to demonstrate that is possible to know which scientific areas are the most collaborative and which topics were the most popular in Ecuador.

Original languageEnglish (US)
Title of host publication2017 4th International Conference on eDemocracy and eGovernment, ICEDEG 2017
EditorsLuis Teran, Luis Teran, Andreas Meier
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages118-124
Number of pages7
ISBN (Electronic)9781509048304
DOIs
StatePublished - Jun 29 2017
Event4th International Conference on eDemocracy and eGovernment, ICEDEG 2017 - Quito, Ecuador
Duration: Apr 19 2017Apr 21 2017

Other

Other4th International Conference on eDemocracy and eGovernment, ICEDEG 2017
CountryEcuador
CityQuito
Period4/19/174/21/17

Fingerprint

scientific community
Ecuador
methodology
public management
Electric network analysis
network analysis
inhabitant
community
social network
Education
economy
Methodology
Scientific community
Data base
Processing
language
education
Government

Keywords

  • authors
  • communities
  • Ecuador
  • LDA
  • Scopus
  • SNA
  • TF-IDF

ASJC Scopus subject areas

  • Computer Networks and Communications
  • Information Systems
  • Sociology and Political Science
  • Communication
  • Public Administration
  • Information Systems and Management
  • Education

Cite this

Fiallos, A., Jimenes, K., Vaca, C., & Ochoa, X. (2017). Scientific communities detection and analysis in the bibliographic database: SCOPUS. In L. Teran, L. Teran, & A. Meier (Eds.), 2017 4th International Conference on eDemocracy and eGovernment, ICEDEG 2017 (pp. 118-124). [7962521] Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/ICEDEG.2017.7962521

Scientific communities detection and analysis in the bibliographic database : SCOPUS. / Fiallos, Angel; Jimenes, Karina; Vaca, Carmen; Ochoa, Xavier.

2017 4th International Conference on eDemocracy and eGovernment, ICEDEG 2017. ed. / Luis Teran; Luis Teran; Andreas Meier. Institute of Electrical and Electronics Engineers Inc., 2017. p. 118-124 7962521.

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Fiallos, A, Jimenes, K, Vaca, C & Ochoa, X 2017, Scientific communities detection and analysis in the bibliographic database: SCOPUS. in L Teran, L Teran & A Meier (eds), 2017 4th International Conference on eDemocracy and eGovernment, ICEDEG 2017., 7962521, Institute of Electrical and Electronics Engineers Inc., pp. 118-124, 4th International Conference on eDemocracy and eGovernment, ICEDEG 2017, Quito, Ecuador, 4/19/17. https://doi.org/10.1109/ICEDEG.2017.7962521
Fiallos A, Jimenes K, Vaca C, Ochoa X. Scientific communities detection and analysis in the bibliographic database: SCOPUS. In Teran L, Teran L, Meier A, editors, 2017 4th International Conference on eDemocracy and eGovernment, ICEDEG 2017. Institute of Electrical and Electronics Engineers Inc. 2017. p. 118-124. 7962521 https://doi.org/10.1109/ICEDEG.2017.7962521
Fiallos, Angel ; Jimenes, Karina ; Vaca, Carmen ; Ochoa, Xavier. / Scientific communities detection and analysis in the bibliographic database : SCOPUS. 2017 4th International Conference on eDemocracy and eGovernment, ICEDEG 2017. editor / Luis Teran ; Luis Teran ; Andreas Meier. Institute of Electrical and Electronics Engineers Inc., 2017. pp. 118-124
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