Fig 1.
Methodological process for extracting and analyzing bibliometric and social network data.
Fig 2.
Number of journal articles published per year in STM discipline.
Table 1.
Descriptive results of scientific collaboration and network properties in STM.
Fig 3.
Co-authorship networks in t1 (Network A), t2 (Network B) and t3 (Network C).
Each node/circle represents a researcher who have published in the STM field. The size of each node size is proportional to the number of citations. A line connecting two nodes indicates an, at least, one published paper between two authors in STM field.
Table 2.
Ranking of 10 most prolific authors based on their centrality measures for each sub-period.
Fig 4.
Co-occurrence networks of institutions in t1 (Network A), t2 (Network B) and t3 (Network C).
Each node/circle represents an institution that has been involved in STM research. The size of each node size is proportional to the number of connections. A line connecting two nodes indicates a collaborative relationship between two institutions in the STM field.
Table 3.
Ranking of 10 most prolific institutions based on their centrality measures for each sub-period.
Fig 5.
Co-occurrence networks of countries in t1 (Network A), t2 (Network B) and t3 (Network C).
Each node/circle represents a country that has been involved in STM research. The size of each node size is proportional to the number of connections. A line connecting two nodes indicates a collaborative relationship between two countries in the STM field.
Table 4.
Ranking of 10 most prolific countries based on their centrality measures for each sub-period.
Table 5.
Spearman correlation test results between social network and research performance variables.
Table 6.
Summary of association testing results.
Fig 6.
Co-occurrence network of keywords in STM in t1 (Network A), t2 (Network B) and t3 (Network C).
Each node/circle represents a keyword in STM research. The size of each node size is proportional to the number of connections. A line connecting two nodes indicates an affiliation between two keywords. Node color represents related clusters of keywords.