TY - GEN
T1 - Discovering Scientific Collaboration Activities using Social Network Analysis. A Case Study
T2 - 11th International Conference on Information Technology and Electrical Engineering, ICITEE 2019
AU - Elisabeth, Damayanti
AU - Rokhman, Mokhammad Fathoni
AU - Harahap, Nabila Clydea
AU - Hakim, Shidiq Al
AU - Sensuse, Dana Indra
PY - 2019/10
Y1 - 2019/10
N2 - 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.
AB - 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.
KW - centrality graph
KW - knowledge discovery
KW - knowledge mapping
KW - scientific collaboration
KW - social network analysis
UR - http://www.scopus.com/inward/record.url?scp=85077965442&partnerID=8YFLogxK
U2 - 10.1109/ICITEED.2019.8929957
DO - 10.1109/ICITEED.2019.8929957
M3 - Conference contribution
T3 - 2019 11th International Conference on Information Technology and Electrical Engineering, ICITEE 2019
BT - 2019 11th International Conference on Information Technology and Electrical Engineering, ICITEE 2019
PB - Institute of Electrical and Electronics Engineers Inc.
Y2 - 10 October 2019 through 11 October 2019
ER -