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The International Journal of the Royal Society of Thailand
Volume XV-2023
Figure 3 Principal Component Analysis (PCA) of ego, alter, and co-authorship network characteristics
of researchers affiliated with an organization in Thailand. A total of 120 researchers were included in
this analysis, derived from the 1 to the 4 social cycles of the index researcher IR_01 using snowball
th
st
sampling. A) PCA plot for ego characteristics (time since the first publication, average annual publication
number during the past 5 years, journal domain diversity, and proportion of review/systematic review
articles), alter characteristics (proportions of co-authors affiliated with an organization in Thailand,
non-Thailand South-eastern Asia, Southern Asia, Western Asia and Eastern Europe), and co-authorship
network characteristics (number of co-authors during the past 5 years, edge density, number of
communities, and clustering coefficient). B) PCA plot for individual researchers. Most researchers
included in the analysis are represented by black circles, with the red and yellow triangles indicating
index researchers IR_01 and IR_02, respectively. Blue squares indicate high-performance junior
researchers (HJR_01, HJR_02, and HJR_03) with the smallest Euclidean distance to the index researcher
IR_01 on the plane of the first two PCA dimensions. Green squares represent senior researchers (SR_01,
SR_02, and SR_03) with the lowest coordinates on the second dimension. Details of abbreviations in
Panel A were shown in Table S1.
Among all the researchers included, the most distinctive feature of the
authorship profiles of both Index Researchers was their noticeably higher proportion
of co-authors from Eastern Europe, exceeding 7.5%, while other researchers had less
than 1.25% (Figure 4J). While the authorship profiles that distinguished both Index
Researchers and High-performance Junior Researchers from Senior Researchers were
the proportions of co-authors from Southern Asia (Figure 4H) and Western Asia
(Figure 4I). In contrast, differentiating Index Researchers and Senior Researchers based
on other authorship profile aspects, such as the structures of co-authorship networks
(number of communities and clustering coefficient) (Figures 4E & 4F), proportions of
review articles (Figure 4D), or the diversity of research domains (Figure 4G), turned
out to be challenging.
Phrutsamon Wongnak et al. 11