A measure of individual role in collective dynamics
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 syst...
| Authors: | ; ; ; |
|---|---|
| Format: | Article |
| Status: | Published version |
| Publication date: | 2012 |
| Country: | España |
| Institution: | Varias* (Consorci de Biblioteques Universitáries de Catalunya, Centre de Serveis Científics i Acadèmics de Catalunya) |
| Repository: | Recercat. Dipósit de la Recerca de Catalunya |
| OAI Identifier: | oai:recercat.cat:2445/125967 |
| Online Access: | https://hdl.handle.net/2445/125967 |
| Access Level: | Open access |
| Keyword: | Teoria de la computació Models biològics Termodinàmica Física estadística Theory of computation Biological models Thermodynamics Statistical physics |
| _version_ | 1878739106373042176 |
|---|---|
| author | Klemm, Konstantin |
| author2 | Serrano Moral, Ma. Ángeles (María Ángeles) Eguíluz, Víctor M. San Miguel, Maxi |
| author2_role | author author author |
| author_browse | Eguíluz, Víctor M. Klemm, Konstantin San Miguel, Maxi Serrano Moral, Ma. Ángeles (María Ángeles) |
| author_facet | Klemm, Konstantin Serrano Moral, Ma. Ángeles (María Ángeles) Eguíluz, Víctor M. San Miguel, Maxi |
| author_role | author |
| collection | Recercat. Dipósit de la Recerca de Catalunya |
| description | 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. |
| eu_rights_str_mv | openAccess |
| format | article |
| id | ES_bb309307a760bdfd47f2d8be3d8df3d2 |
| institution | Varias* (Consorci de Biblioteques Universitáries de Catalunya, Centre de Serveis Científics i Acadèmics de Catalunya) |
| instname_str | Varias* (Consorci de Biblioteques Universitáries de Catalunya, Centre de Serveis Científics i Acadèmics de Catalunya) |
| network_acronym_str | ES |
| network_name_str | España |
| oai_identifier_str | oai:recercat.cat:2445/125967 |
| publishDate | 2012 |
| publishDateSort | 2012 |
| publisher | Nature Publishing Group |
| publisherStr | Nature Publishing Group |
| reponame_str | Recercat. Dipósit de la Recerca de Catalunya |
| spelling | A measure of individual role in collective dynamics Klemm, Konstantin Serrano Moral, Ma. Ángeles (María Ángeles) Eguíluz, Víctor M. San Miguel, Maxi Teoria de la computació Models biològics Termodinàmica Física estadística Theory of computation Biological models Thermodynamics Statistical physics 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. Nature Publishing Group https://hdl.handle.net/2445/125967 |
| spellingShingle | A measure of individual role in collective dynamics Klemm, Konstantin Teoria de la computació Models biològics Termodinàmica Física estadística Theory of computation Biological models Thermodynamics Statistical physics |
| status_str | publishedVersion |
| title | A measure of individual role in collective dynamics |
| title_full | A measure of individual role in collective dynamics |
| title_fullStr | A measure of individual role in collective dynamics |
| title_full_unstemmed | A measure of individual role in collective dynamics |
| title_short | A measure of individual role in collective dynamics |
| title_sort | A measure of individual role in collective dynamics |
| topic | Teoria de la computació Models biològics Termodinàmica Física estadística Theory of computation Biological models Thermodynamics Statistical physics |
| topic_facet | Teoria de la computació Models biològics Termodinàmica Física estadística Theory of computation Biological models Thermodynamics Statistical physics |
| url | https://hdl.handle.net/2445/125967 |