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 language | English (US) |
|---|---|
| Title of host publication | 2017 4th International Conference on eDemocracy and eGovernment, ICEDEG 2017 |
| Editors | Luis Teran, Luis Teran, Andreas Meier |
| Publisher | Institute of Electrical and Electronics Engineers Inc. |
| Pages | 118-124 |
| Number of pages | 7 |
| ISBN (Electronic) | 9781509048304 |
| DOIs | |
| State | Published - Jun 29 2017 |
| Event | 4th International Conference on eDemocracy and eGovernment, ICEDEG 2017 - Quito, Ecuador Duration: Apr 19 2017 → Apr 21 2017 |
Other
| Other | 4th International Conference on eDemocracy and eGovernment, ICEDEG 2017 |
|---|---|
| Country | Ecuador |
| City | Quito |
| Period | 4/19/17 → 4/21/17 |
Fingerprint
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
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 proceeding › Conference contribution
}
TY - GEN
T1 - Scientific communities detection and analysis in the bibliographic database
T2 - SCOPUS
AU - Fiallos, Angel
AU - Jimenes, Karina
AU - Vaca, Carmen
AU - Ochoa, Xavier
PY - 2017/6/29
Y1 - 2017/6/29
N2 - 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.
AB - 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.
KW - authors
KW - communities
KW - Ecuador
KW - LDA
KW - Scopus
KW - SNA
KW - TF-IDF
UR - http://www.scopus.com/inward/record.url?scp=85026808191&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=85026808191&partnerID=8YFLogxK
U2 - 10.1109/ICEDEG.2017.7962521
DO - 10.1109/ICEDEG.2017.7962521
M3 - Conference contribution
SP - 118
EP - 124
BT - 2017 4th International Conference on eDemocracy and eGovernment, ICEDEG 2017
A2 - Teran, Luis
A2 - Teran, Luis
A2 - Meier, Andreas
PB - Institute of Electrical and Electronics Engineers Inc.
ER -