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EPJ Data Science

, 3:32

Collective Behaviors and Networks

Abstract

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.

Keywordsmodularity bridges structural holes structural similarity online networks Electronic supplementary materialThe online version of this article doi:10.1140-epjds-s13688-014-0032-y contains supplementary material, which is available to authorized users.

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Autor: Sandra González-Bailón - Ning Wang - Javier Borge-Holthoefer

Fuente: https://link.springer.com/



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