Collaboration patterns of researchers using Social Network Analysis approach

Abstract

Researchers create larger networks of contacts through research collaboration, known as collaboration networks of researchers. In order to promote and to have effective collaboration among researchers, the collaboration patterns need to be accessed and analysed to elevate research and publication (R&P) performance. However, the collaboration patterns have not been accessed in the context of Universiti Teknologi Malaysia (UTM) researchers. Thus, it brings the aim of this research to analyse research collaboration patterns among UTM researchers using Social Network Analysis (SNA). Researchers from Faculty of Electrical Engineering (FKE) were chosen for our analysis. We have 1446 cleaned publications and 168 researchers to construct collaboration network of FKE and its departments. Our findings show that FKE researchers have fewer inter-departments collaboration. Department of Control and Mechatronic Engineering (CMED) has denser network compared to other FKE departments. Besides that, the most influential and reliable researchers were identified based on SNA measures. The findings derived from this study are very helpful to strategic decision makers in UTM to have a strategic plan in empowering research collaboration efforts. It gives an alternative to existing methods in evaluating R&P performance of researchers in UTM and promotes researchers to conduct research collaboration.

Cite this work

No public copy is stored for this record, so only the metadata is cited.

Stored only when both papers are in the corpus — 5 citations exist upstream.

Papers that cite the same references — the relational fallback while embeddings are still backfilling.