%0 Journal Article %1 Kuperman2001 %A Kuperman, Marcelo %A Abramson, Guillermo %D 2001 %I American Physical Society %J Phys. Rev. Lett. %K networks epidemics %N 13 %P 2909--2912 %R 10.1103/PhysRevLett.86.2909 %T Small World Effect in an Epidemiological Model %V 86 %X A model for the spread of an infection is analyzed for different population structures. The interactions within the population are described by small world networks, ranging from ordered lattices to random graphs. For the more ordered systems, there is a fluctuating endemic state of low infection. At a finite value of the disorder of the network, we find a transition to self-sustained oscillations in the size of the infected subpopulation.

@article{Kuperman2001, abstract = {A model for the spread of an infection is analyzed for different population structures. The interactions within the population are described by small world networks, ranging from ordered lattices to random graphs. For the more ordered systems, there is a fluctuating endemic state of low infection. At a finite value of the disorder of the network, we find a transition to self-sustained oscillations in the size of the infected subpopulation.}, added-at = {2011-01-13T13:26:06.000+0100}, author = {Kuperman, Marcelo and Abramson, Guillermo}, biburl = {https://www.bibsonomy.org/bibtex/28fa21895cf839da84a988bdd586d1f39/rincedd}, description = {Phys. Rev. Lett. 86, 2909 (2001): Small World Effect in an Epidemiological Model}, doi = {10.1103/PhysRevLett.86.2909}, file = {Kuperman2001 - Small World Effect in an Epidemiological Model.pdf:Contact Processes/Kuperman2001 - Small World Effect in an Epidemiological Model.pdf:PDF}, interhash = {240f7d6905e2e11ed38d1a163faddb0c}, intrahash = {8fa21895cf839da84a988bdd586d1f39}, journal = {Phys. Rev. Lett.}, keywords = {networks epidemics}, number = 13, pages = {2909--2912}, publisher = {American Physical Society}, timestamp = {2011-01-13T13:26:06.000+0100}, title = {Small World Effect in an Epidemiological Model}, volume = 86, year = 2001 }