The strength of strong ties in scientific collaboration networks

Abstract

Network topology and its relationship to tie strengths may hinder or enhance the spreading of information in social networks. We study the correlations between tie strengths and topology in networks of scientific collaboration, and show that these are very different from ordinary social networks. For the latter, it has earlier been shown that strong ties are associated with dense network neighborhoods, while weaker ties act as bridges between these. Because of this, weak links act as bottlenecks for the diffusion of information. We show that on the contrary, in co-authorship networks dense local neighborhoods mainly consist of weak links, whereas strong links are more important for overall connectivity. The important role of strong links is further highlighted in simulations of information spreading, where their topological position is seen to dramatically speed up spreading dynamics. Thus, in contrast to ordinary social networks, weight-topology correlations enhance the flow of information across scientific collaboration networks.

6 Pages, 6 Figures, Published version, Minor changes, Results also verified using new weight-scheme

References in corpus (13)

• Fast unfolding of communities in large networks
• Modularity and community structure in networks
• Community detection in graphs
• Statistical Mechanics of Community Detection
• Structure and tie strengths in mobile communication networks
• Quantifying social group evolution
• Small But Slow World: How Network Topology and Burstiness Slow Down Spreading
• Prominence and control: The weighted rich-club effect
• Analysis of a large-scale weighted network of one-to-one human communication
• Emergence of communities in weighted networks
• Communities, Knowledge Creation, and Information Diffusion
• Using explosive percolation in analysis of real-world networks
• Modular networks emerge from multiconstraint optimization

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• Interplay between tie strength and neighbourhood topology in complex networks: Granovetter's theory and beyond
• Asymmetry of social interactions and its role in link predictability: the case of coauthorship networks