Date of this Version
EPJ Data Science
Communication through social media mediates coordination and information diffusion across a range of social settings. However, online networks are large and complex, and their analysis requires new methods to summarize their structure and identify nodes holding relevant positions. We propose a method that generalizes the sociological theory of brokerage, originally devised on the basis of local transitivity and paths of length two, to make it applicable to larger, more complex structures. Our method makes use of the modular structure of networks to define brokerage at the local and global levels. We test the method with two different data sets. The findings show that our approach is better at capturing role differences than alternative approaches that only consider local or global network features.
© 2014 González-Bailón et al.; licensee Springer. This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly credited.
modularity, bridges, structural holes, structural similarity, online networks
González-Bailón, S., Wang, N., & Borge-Holthoefer, J. (2014). The Emergence of Roles in Large-Scale Networks of Communication. EPJ Data Science, 3 (32), 1-16. https://doi.org/10.1140/epjds/s13688-014-0032-y
Date Posted: 24 February 2017
This document has been peer reviewed.