Observatorio de I+D+i UPM

Memorias de investigación
Research Publications in journals:
Two new types of visualization for mutualistic communities based in k-core decomposition
Year:2015
Research Areas
  • Physics chemical and mathematical
Information
Abstract
The bipartite graph is the most popular visualization of mutualistic networks. This plot underlines the existence of two guilds of nodes. Links between them are difficult to follow even with a reduced number of elements, and it is almost impossible to discover organizational patterns. As a result, it is uncommon finding graphs of big bipartite networks in the literature. These shortcomings are even worse for networks with real time, strongly non linear interactions, such as mutualistic newtorks. Their internal structure is very important to understand their behaviour and resilience. For instance, it is quite important to know how central is a node and how its removal may trigger a cascade extinction. We have developped two new kinds of visualization, polar and ziggurat plots, based on k-core decomposition. The idea was succesfully applied to very large networks to reduce the ammount of displayed information. Our solution does not reduce information, as mutualistic networks have less than 1000 nodes. Instead, the decomposition discovers an internal organization that has its roots in topological properties.
International
Si
JCR
No
Title
International Journal of Complex Systems in Science
ISBN
2174-6036
Impact factor JCR
Impact info
Volume
5
Journal number
1
From page
19
To page
23
Month
SEPTIEMBRE
Ranking
Participants
  • Autor: Javier García Algarra
  • Autor: Javier Ricardo Galeano Prieto (UPM)
  • Autor: Juan Manuel Pastor Ruiz (UPM)
Research Group, Departaments and Institutes related
  • Creador: Grupo de Investigación: Grupo de Sistemas Complejos
  • Departamento: Ingeniería Agroforestal
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