Departmental Papers (ASC)

Document Type

Journal Article

Date of this Version

11-7-2014

Publication Source

EPJ Data Science

Volume

3

Issue

32

Start Page

1

Last Page

16

DOI

10.1140/epjds/s13688-014-0032-y

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.

Copyright/Permission Statement

© 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.

Comments

González-Bailón, S., Wang, N., and Borge-Holthoefer, J. (2014). “The Emergence of Roles in Large-Scale Networks of Communication”, EPJ Data Science, 3(32). doi: 10.1140/epjds/s13688-014-0032-y

Keywords

modularity, bridges, structural holes, structural similarity, online networks

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Date Posted: 24 February 2017

This document has been peer reviewed.