The emergence of roles in large-scale networks of communication

Sandra González-Bailón, Ning Wang, Javier Borge-Holthoefer

Research output: Contribution to journalArticle

9 Citations (Scopus)

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.

Original languageEnglish
Pages (from-to)1-16
Number of pages16
JournalEPJ Data Science
Volume3
Issue number1
DOIs
Publication statusPublished - 2014

Fingerprint

Communication
Information Diffusion
Social Media
Transitivity
Complex Structure
Path
Generalise
Alternatives
Vertex of a graph
Range of data

Keywords

  • Bridges
  • Modularity
  • Online networks
  • Structural holes
  • Structural similarity

ASJC Scopus subject areas

  • Computer Science Applications
  • Computational Mathematics
  • Modelling and Simulation

Cite this

The emergence of roles in large-scale networks of communication. / González-Bailón, Sandra; Wang, Ning; Borge-Holthoefer, Javier.

In: EPJ Data Science, Vol. 3, No. 1, 2014, p. 1-16.

Research output: Contribution to journalArticle

González-Bailón, S, Wang, N & Borge-Holthoefer, J 2014, 'The emergence of roles in large-scale networks of communication', EPJ Data Science, vol. 3, no. 1, pp. 1-16. https://doi.org/10.1140/epjds/s13688-014-0032-y
González-Bailón, Sandra ; Wang, Ning ; Borge-Holthoefer, Javier. / The emergence of roles in large-scale networks of communication. In: EPJ Data Science. 2014 ; Vol. 3, No. 1. pp. 1-16.
@article{00829508271b4cf7b3ff645386ec785d,
title = "The emergence of roles in large-scale networks of communication",
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.",
keywords = "Bridges, Modularity, Online networks, Structural holes, Structural similarity",
author = "Sandra Gonz{\'a}lez-Bail{\'o}n and Ning Wang and Javier Borge-Holthoefer",
year = "2014",
doi = "10.1140/epjds/s13688-014-0032-y",
language = "English",
volume = "3",
pages = "1--16",
journal = "EPJ Data Science",
issn = "2193-1127",
publisher = "Springer Science + Business Media",
number = "1",

}

TY - JOUR

T1 - The emergence of roles in large-scale networks of communication

AU - González-Bailón, Sandra

AU - Wang, Ning

AU - Borge-Holthoefer, Javier

PY - 2014

Y1 - 2014

N2 - 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.

AB - 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.

KW - Bridges

KW - Modularity

KW - Online networks

KW - Structural holes

KW - Structural similarity

UR - http://www.scopus.com/inward/record.url?scp=84933523370&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=84933523370&partnerID=8YFLogxK

U2 - 10.1140/epjds/s13688-014-0032-y

DO - 10.1140/epjds/s13688-014-0032-y

M3 - Article

VL - 3

SP - 1

EP - 16

JO - EPJ Data Science

JF - EPJ Data Science

SN - 2193-1127

IS - 1

ER -