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Memorias de investigación
Communications at congresses:
Inducing Self-Organized Criticality in a network toy model by neighborhood assortativity
Year:2017
Research Areas
  • Physics chemical and mathematical
Information
Abstract
We present a network toy model that is driven exclusively by the network?s topology. Starting from a single node, the network grows by adding randomly a new node (with a single link) at each time step. The criticality appears due to a topological stability condition: A node is stable, if and only if its degree is less than or equal to the average degree of its neighbors plus a global constant, C. This local condition is related to a neighborhood?s assortativity: the tendency of a node to belong to a community (its neighborhood) showing an average property similar to its own. When a node becomes unstable, one of its links is randomly removed and the smallest subnet is deleted. Then the stability conditions of the node and its neighbors are checked iteratively until every node in the network is stable. When all the nodes are stable, a new time step starts. The set of removals performed until every node in the network is stable represents an avalanche. The size of the avalanche s can be defined as the total number of nodes removed from the network.
International
No
Congress
XXI Congreso de Física Estadística (FisEs17) [https://fises17.gefenol.es/]
970
Place
Sevilla, España
Reviewers
Si
ISBN/ISSN
CDP08UPM
Start Date
30/03/2017
End Date
01/04/2017
From page
64
To page
64
FisEs17 - XXI Congreso de Física Estadística- LIBRO DE RESÚMENES [https://fises17.gefenol.es/media/uploads/editor/2017/03/28/libro_resumenes_fises17.pdf]
Participants
  • Autor: Alfonso Allen Perkins (Universidad Politécnica de Madrid)
  • Autor: Juan Manuel Pastor Ruiz (UPM)
  • Autor: Javier Ricardo Galeano Prieto (UPM)
Research Group, Departaments and Institutes related
  • Creador: Grupo de Investigación: Grupo de Sistemas Complejos
  • Departamento: Ingeniería Agroforestal
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