Figure 1.
Illustration of a co-authorship network.
(a) author-paper network for three papers written by four authors; (b) corresponding co-authorship network; and (c) co-authorship network showing same network attributes for each author. Au stands for Author, P stands for Paper and At stands for network attribute (e.g., degree centrality) of authors. Although in this figure we consider two attributes (i.e., At1 and At2) for illustration, we consider network attributes of degree centrality, closeness centrality and betweenness centrality of all authors for research analysis in this study.
Figure 2.
Conceptualization of the research questions of this study.
(a) Illustration of the first research question (i.e., how the citation count of a scientific paper is affected by the network positions of its all co-author(s) in a co-authorship network?) based on Figure 1C. Avg stands for statistical function Average which is used to normalize different network attributes (i.e., degree centrality, closeness centrality and betweenness centrality) of authors. The “?” symbol above the line indicates, whether or not, the measure on its left hand side has any impact on the measure on its right hand side. (b) Illustration of the second research question (i.e., how the strength of scientific relations (i.e., co-authorship relations) between two authors is affected by their network positions in a co-authorship network?) based on Figure 1C. Avg and “?” represent the same as like in (a). (c) Summary of research investigations. NP stands for Network Position in respect of network measures considered in this study (i.e., degree centrality, closeness centrality and betweenness centrality), CC stands for Citation Count and TS stands for Tie strength. The symbol ‘↔’ stands, whether the left hand measure of the symbol has any impact on its right hand measure.
Table 1.
List of journals.
Table 2.
Basic statistics of the co-authorship data used in this study.
Figure 3.
Research analysis process.
Table 3.
Correlation matrix between three network centrality measures and citation count.
Figure 4.
Network attributes for each author and the corresponding citation count of the paper.
Three basic centrality measures (i.e., degree centrality, closeness centrality and betweenness centrality) are considered. CRD stands for ‘Complete Research Dataset’.
Table 4.
Top-10 papers (in respect of average of degree centrality and betweenness centrality values of co-authors) and their corresponding citation counts.
Table 5.
Correlation matrix between three network centrality measures and strength of scientific collaboration (i.e., tie strength) between two authors.
Figure 5.
Network attributes for each author and the tie strength of that author with all her/his co-authors.
Three basic centrality measures (i.e., degree centrality, closeness centrality and betweenness centrality) are considered. CRD stands for ‘Complete Research Dataset’.
Table 6.
Top-10 collaborations between authors (in respect of tie strength) and scaled network measures (i.e., degree centrality and betweenness centrality) of corresponding collaborators.
Table 7.
Regression models for Complete research dataset, and NUS and Monash University dataset.