Scientific communities detection and analysis in the bibliographic database: SCOPUS

作者: Carmen Vaca , Xavier Ochoa , Angel Fiallos , Karina Jimenes

DOI: 10.1109/ICEDEG.2017.7962521

关键词: ScopusHigher educationPolitical scienceBibliographic databaseGovernmentSocial network analysisSubject (documents)Data scienceInformation systemWork (electrical)

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

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