Discovering Scientific Collaboration Activities using Social Network Analysis. A Case Study: Faculty of Computer Science Universitas Indonesia

Damayanti Elisabeth, Mokhammad Fathoni Rokhman, Nabila Clydea Harahap, Shidiq Al Hakim, Dana Indra Sensuse

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

1 Citation (Scopus)

Abstract

Research collaboration is needed to accomplish the University's targets: improve quality, collaboration, and partnerships in research. Identifying research collaboration is required as located research elements to facilitate research and encourage interdisciplinary collaboration. This research is aimed to discover scientific collaboration activities in the computer science domain on the Faculty of Computer Science, Universitas Indonesia. Using metadata as research data is a solution for embedded knowledge in unstructured documents. The information was collected online publications metadata from Scopus that published from 1988 to 2018. We used social network analysis (SNA) to map and measure scientific actors' relationships to understand collaboration activities from various views of different elements and to build the author's research profile. Based on the data, we can get information about the expertise of institution researchers and their relationships with other collaborators. Moreover, we can get information about the most popular actor, influenced actors, the bridge actors based on the relation map. The methodology in this research can be used to discover knowledge in other research domains and organizations, and the analysis of this research can be used for research management.

Original languageEnglish
Title of host publication2019 11th International Conference on Information Technology and Electrical Engineering, ICITEE 2019
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)9781728140551
DOIs
Publication statusPublished - Oct 2019
Event11th International Conference on Information Technology and Electrical Engineering, ICITEE 2019 - Pattaya, Thailand
Duration: 10 Oct 201911 Oct 2019

Publication series

Name2019 11th International Conference on Information Technology and Electrical Engineering, ICITEE 2019

Conference

Conference11th International Conference on Information Technology and Electrical Engineering, ICITEE 2019
CountryThailand
CityPattaya
Period10/10/1911/10/19

Keywords

  • centrality graph
  • knowledge discovery
  • knowledge mapping
  • scientific collaboration
  • social network analysis

Fingerprint Dive into the research topics of 'Discovering Scientific Collaboration Activities using Social Network Analysis. A Case Study: Faculty of Computer Science Universitas Indonesia'. Together they form a unique fingerprint.

Cite this