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Effects of weak ties on epidemic predictability on community networks
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10.1063/1.4767955
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Affiliations:
1 Web Sciences Center, University of Electronic Science and Technology of China, Chengdu 610054, People's Republic of China
a) Author to whom correspondence should be addressed. Electronic mail: tangminghuang521@hotmail.com.
Chaos 22, 043124 (2012)
/content/aip/journal/chaos/22/4/10.1063/1.4767955
http://aip.metastore.ingenta.com/content/aip/journal/chaos/22/4/10.1063/1.4767955
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## Figures

FIG. 1.

The mean arrival time and its variability as a function of the degree of the bridge node where the “squares,” “circles,” “triangleups,” “triangledowns,” and “diamonds” denote the cases of the seeds with d = 0, 1, 2, 3, and 4, respectively. (a) versus , (b) versus . The parameters are chosen as . We perform the experiments on different networks, each of which are tested in independent realizations.

FIG. 2.

Two spreading pathways through which the bridge node may be infected. The first one is a direct transmission from the seed to the bridge node, and the second one is an indirect transmission from the seed to node i, j, and then to the bridge node.

FIG. 3.

At T = 20, the mean prevalence and its variability as a function of the degree of the bridge node where the “squares,” “circles,” “triangleups,” “triangledowns,” and “diamonds” denote the cases of the seeds with d = 0, 1, 2, 3, and 4, respectively. (a) versus , (b) versus . The parameters are chosen as . We perform the experiments on different networks, each of which are tested in independent realizations.

FIG. 4.

When the distance between the initial seed and the bridge node d = 1, the mean arrival time and its variability as a function of the degree of the initial seed, where versus k for (a) and (b), versus k for (c) and (d). The results are averaged over independent realizations on networks.

FIG. 5.

When d = 1, the mean prevalence and its variability at T = 20 as a function of the degree of the initial seed, where versus kfor (a) and (b), versus k for (c) and (d). The results are averaged over independent realizations in networks.

FIG. 6.

The mean arrival time and its variability as a function of the modularity where the “squares,” “circles,” and “triangles” denote the cases of the bridge seed, the random seed, and the hub seed, respectively. (a) versus , (b) versus . The parameters are chosen as . We perform the experiments on different networks, each of which are tested in independent realizations.

FIG. 7.

At T = 2, the mean prevalence and its variability as a function of the modularity where the “squares,” “circles,” and “triangles” denote the cases of the bridge seed, the random seed, and the hub seed, respectively. (a) versus , (b) versus . We perform the experiments on different networks, each of which are tested in independent realizations.

/content/aip/journal/chaos/22/4/10.1063/1.4767955
2012-11-26
2014-04-16

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