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

被引：1

作者：

Elisabeth, Damayanti ^{[1
]}

Rokhman, Mokhammad Fathoni ^{[1
,2
]}

Harahap, Nabila Clydea ^{[1
]}

Al Hakim, Shidiq ^{[1
,3
]}

Sensuse, Dana Indra ^{[1
]}

机构：

[1] Univ Indonesia, Fac Comp Sci, Depok, Indonesia

[2] Univ Maarif Hasyim Latif, Informat Syst Dept, Sidoarjo, Indonesia

[3] LIPI, Indonesian Inst Sci, Res Ctr Informat, Cibinong, Indonesia

来源：

2019 11TH INTERNATIONAL CONFERENCE ON INFORMATION TECHNOLOGY AND ELECTRICAL ENGINEERING (ICITEE 2019) | 2019年

关键词：

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

D O I：

10.1109/iciteed.2019.8929957

中图分类号：

TP301 [理论、方法];

学科分类号：

081202 ;

摘要：

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.

引用

页数：7

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