@inproceedings{aa44517d83fa4679ad37b3b0faccf5d7,
title = "Scientific communities detection and analysis in the bibliographic database: SCOPUS",
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.",
keywords = "Ecuador, LDA, SNA, Scopus, TF-IDF, authors, communities",
author = "Angel Fiallos and Karina Jimenes and Carmen Vaca and Xavier Ochoa",
year = "2017",
month = jun
day = "29",
doi = "10.1109/ICEDEG.2017.7962521",
language = "English (US)",
series = "2017 4th International Conference on eDemocracy and eGovernment, ICEDEG 2017",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
pages = "118--124",
editor = "Luis Teran and Luis Teran and Andreas Meier",
booktitle = "2017 4th International Conference on eDemocracy and eGovernment, ICEDEG 2017",
note = "4th International Conference on eDemocracy and eGovernment, ICEDEG 2017 ; Conference date: 19-04-2017 Through 21-04-2017",
}