Optimal contact process on complex networks
-
Yang, Rui
Department of Electrical Engineering, Arizona State University, Tempe, USA
-
Zhou, Tao
Department of Modern Physics, University of Science and Technology of China, Hefei, China - Department of Physics, University of Fribourg, Switzerland
-
Xie, Yan-Bo
Department of Modern Physics, University of Science and Technology of China, Hefei, China
-
Lai, Ying-Cheng
Department of Electrical Engineering, Arizona State University, Tempe, USA - Department of Physics, Arizona State University, Tempe, USA
-
Wang, Bing-Hong
Department of Modern Physics, University of Science and Technology of China, Hefei, China
Show more…
Published in:
- Physical Review E. - 2008, vol. 78, no. 6, p. 066109
English
Contact processes on complex networks are a recent subject of study in nonequilibrium statistical physics and they are also important to applied fields such as epidemiology and computer and communication networks. A basic issue concerns finding an optimal strategy for spreading. We provide a universal strategy that, when a basic quantity in the contact process dynamics, the contact probability determined by a generic function of its degree W(k), is chosen to be inversely proportional to the node degree, i.e., W(k)~k⁻¹, spreading can be maximized. Computation results on both model and real-world networks verify our theoretical prediction. Our result suggests the determining role played by small-degree nodes in optimizing spreading, in contrast to the intuition that hub nodes are important for spreading dynamics on complex networks.
-
Faculty
- Faculté des sciences et de médecine
-
Department
- Département de Physique
-
Language
-
-
Classification
-
Physics
-
License
-
License undefined
-
Identifiers
-
-
Persistent URL
-
https://folia.unifr.ch/unifr/documents/301059
Statistics
Document views: 131
File downloads: