Figure 3 | Scientific Reports

Figure 3

From: Knowledge and social relatedness shape research portfolio diversification

Figure 3

Knowledge and social relatedness. (a) A stylized example of the bipartite PACS-Articles network. (b) The PACS co-occurrence network (monopartite projection on PACS codes). (c) The cosine similarity matrix, which “maps” the physics knowledge space and identifies clusters corresponding to fields. (d) A table illustrating how co-authorship and specialization information are combined to produce the augmented co-authorship network shown in the figure, which includes nodes attributes (specializations). The nodes represent individual scientists (in black) and specializations (in red). Our measure of social relatedness (\(SR_{ib}\)) is defined as a dummy that captures whether scholar i can reach a certain sub-field b through social interactions; \(SR_{ib} = 1\) if \(d(i,b)=2\), where d(ib) is the geodesic distance between scholar i and sub-field b. For instance, \(SR_{David,45}=1\) since David could directly exchange knowledge with Alice (specialized in sub-field 45), while \(SR_{David,21}=0\).

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