Scientific success from the perspective of the strength of weak ties
Agata Fronczak, Maciej J. Mrowinski, Piotr Fronczak

TL;DR
This study confirms Granovetter's social network theory using a large scientific collaboration dataset, revealing that weaker ties often correlate with higher individual success and more valuable publications, challenging the assumption of symmetric social ties.
Contribution
It provides the first complete empirical validation of Granovetter's theory in a scientific collaboration context, incorporating asymmetric, directed ties and heterogeneous mean-field analysis.
Findings
Weaker ties are associated with higher h-index among scientists.
Teams connected by weak ties produce more valuable publications.
Scientific success correlates with the structure of collaboration networks.
Abstract
We present the first complete confirmation of Granovetter's theory of social networks using a massive dataset. For this purpose, we study a scientific collaboration network, which is considered one of the most important examples that contradicts the universality of this theory. We achieve this goal by rejecting the assumption of the symmetry of social ties. Our approach is grounded in well-established heterogeneous (degree-based) mean-field theory commonly used to study dynamical processes on complex networks. Granovetter's theory is based on two hypotheses that assign different roles to interpersonal, information-carrying connections. The first hypothesis states that strong ties carrying the majority of interaction events are located mainly within densely connected groups of people. The second hypothesis maintains that these groups are connected by sparse weak ties that are of vital…
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