Collaboration Networks from a Large CV Database: Dynamics, Topology and Bonus Impact

Abstract

Understanding the dynamics of research production and collaboration may reveal better strategies for scientific careers, academic institutions, and funding agencies. Here we propose the use of a large and multidisciplinary database of scientific curricula in Brazil, namely, the Lattes Platform, to study patterns of scientific production and collaboration. Detailed information about publications and researchers is available in this database. Individual curricula are submitted by the researchers themselves so that coauthorship is unambiguous. Researchers can be evaluated by scientific productivity, geographical location and field of expertise. Our results show that the collaboration network is growing exponentially for the last three decades, with a distribution of number of collaborators per researcher that approaches a power-law as the network gets older. Moreover, both the distributions of number of collaborators and production per researcher obey power-law behaviors, regardless of the geographical location or field, suggesting that the same universal mechanism might be responsible for network growth and productivity. We also show that the collaboration network under investigation displays a typical assortative mixing behavior, where teeming researchers (i.e., with high degree) tend to collaborate with others alike.

User ratings analysis in social networks through a hypernetwork method

“…5 Physicists have combined complex network theory (Barabási & Albert, 1999;Watts & Strogatz, 1998) and collaborative filtering (CF) (Herlocker et al, 2004;Schafer et al, 2007) in an attempt to create better recommendation engines in social networks and the principles of physical dynamics, including mass diffusion (Zhou et al, 2007), and heat conduction , have been applied in a CF algorithm. A popular approach has been to construct recommendation data via a user-object bipartite network where the nodes are divided into two sets, but only connections between two nodes in different sets are allowed (Araújo et al, 2014;Estrada & Rodriguez-Velazquez, 2005;Li & Chen, 2013;Lind et al, 2005;Ramasco et al, 2004).…”

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“…4c). Second, the number of papers authored by a scientist follows a power-law distribution with exponential cutoff [56,57] ( Supplementary Fig. S5b).…”

Research and partnerships in studies on population genetics of Neotropical plants: A scientometric evaluation

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