A measure of individual role in collective dynamics

Konstantin Klemm, M. Ángeles Serrano, Víctor M. Eguíluz, Maxi San Miguel

Research output: Contribution to journalArticle

110 Citations (Scopus)

Abstract

Identifying key players in collective dynamics remains a challenge in several research fields, from the efficient dissemination of ideas to drug target discovery in biomedical problems. The difficulty lies at several levels: how to single out the role of individual elements in such intermingled systems, or which is the best way to quantify their importance. Centrality measures describe a node's importance by its position in a network. The key issue obviated is that the contribution of a node to the collective behavior is not uniquely determined by the structure of the system but it is a result of the interplay between dynamics and network structure. We show that dynamical influence measures explicitly how strongly a node's dynamical state affects collective behavior. For critical spreading, dynamical influence targets nodes according to their spreading capabilities. For diffusive processes it quantifies how efficiently real systems may be controlled by manipulating a single node.

Original languageEnglish
Article number292
JournalScientific Reports
Volume2
DOIs
Publication statusPublished - 2012
Externally publishedYes

Fingerprint

Drug Discovery
Research

ASJC Scopus subject areas

  • General

Cite this

Klemm, K., Serrano, M. Á., Eguíluz, V. M., & Miguel, M. S. (2012). A measure of individual role in collective dynamics. Scientific Reports, 2, [292]. https://doi.org/10.1038/srep00292

A measure of individual role in collective dynamics. / Klemm, Konstantin; Serrano, M. Ángeles; Eguíluz, Víctor M.; Miguel, Maxi San.

In: Scientific Reports, Vol. 2, 292, 2012.

Research output: Contribution to journalArticle

Klemm, K, Serrano, MÁ, Eguíluz, VM & Miguel, MS 2012, 'A measure of individual role in collective dynamics', Scientific Reports, vol. 2, 292. https://doi.org/10.1038/srep00292
Klemm, Konstantin ; Serrano, M. Ángeles ; Eguíluz, Víctor M. ; Miguel, Maxi San. / A measure of individual role in collective dynamics. In: Scientific Reports. 2012 ; Vol. 2.
@article{37a470aaea9045adabc225698aa673ce,
title = "A measure of individual role in collective dynamics",
abstract = "Identifying key players in collective dynamics remains a challenge in several research fields, from the efficient dissemination of ideas to drug target discovery in biomedical problems. The difficulty lies at several levels: how to single out the role of individual elements in such intermingled systems, or which is the best way to quantify their importance. Centrality measures describe a node's importance by its position in a network. The key issue obviated is that the contribution of a node to the collective behavior is not uniquely determined by the structure of the system but it is a result of the interplay between dynamics and network structure. We show that dynamical influence measures explicitly how strongly a node's dynamical state affects collective behavior. For critical spreading, dynamical influence targets nodes according to their spreading capabilities. For diffusive processes it quantifies how efficiently real systems may be controlled by manipulating a single node.",
author = "Konstantin Klemm and Serrano, {M. {\'A}ngeles} and Egu{\'i}luz, {V{\'i}ctor M.} and Miguel, {Maxi San}",
year = "2012",
doi = "10.1038/srep00292",
language = "English",
volume = "2",
journal = "Scientific Reports",
issn = "2045-2322",
publisher = "Nature Publishing Group",

}

TY - JOUR

T1 - A measure of individual role in collective dynamics

AU - Klemm, Konstantin

AU - Serrano, M. Ángeles

AU - Eguíluz, Víctor M.

AU - Miguel, Maxi San

PY - 2012

Y1 - 2012

N2 - Identifying key players in collective dynamics remains a challenge in several research fields, from the efficient dissemination of ideas to drug target discovery in biomedical problems. The difficulty lies at several levels: how to single out the role of individual elements in such intermingled systems, or which is the best way to quantify their importance. Centrality measures describe a node's importance by its position in a network. The key issue obviated is that the contribution of a node to the collective behavior is not uniquely determined by the structure of the system but it is a result of the interplay between dynamics and network structure. We show that dynamical influence measures explicitly how strongly a node's dynamical state affects collective behavior. For critical spreading, dynamical influence targets nodes according to their spreading capabilities. For diffusive processes it quantifies how efficiently real systems may be controlled by manipulating a single node.

AB - Identifying key players in collective dynamics remains a challenge in several research fields, from the efficient dissemination of ideas to drug target discovery in biomedical problems. The difficulty lies at several levels: how to single out the role of individual elements in such intermingled systems, or which is the best way to quantify their importance. Centrality measures describe a node's importance by its position in a network. The key issue obviated is that the contribution of a node to the collective behavior is not uniquely determined by the structure of the system but it is a result of the interplay between dynamics and network structure. We show that dynamical influence measures explicitly how strongly a node's dynamical state affects collective behavior. For critical spreading, dynamical influence targets nodes according to their spreading capabilities. For diffusive processes it quantifies how efficiently real systems may be controlled by manipulating a single node.

UR - http://www.scopus.com/inward/record.url?scp=84859773717&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=84859773717&partnerID=8YFLogxK

U2 - 10.1038/srep00292

DO - 10.1038/srep00292

M3 - Article

VL - 2

JO - Scientific Reports

JF - Scientific Reports

SN - 2045-2322

M1 - 292

ER -