Statistical mechanics of complex networks and interacting populations

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dc.contributor Aalto-yliopisto fi
dc.contributor Aalto University en
dc.contributor.author Peltomäki, Matti
dc.date.accessioned 2012-08-21T12:41:25Z
dc.date.available 2012-08-21T12:41:25Z
dc.date.issued 2009
dc.identifier.isbn 978-951-22-9853-2
dc.identifier.isbn 978-951-22-9852-5 (printed) #8195;
dc.identifier.issn 1797-9609
dc.identifier.uri https://aaltodoc.aalto.fi/handle/123456789/4608
dc.description.abstract In complex dynamical systems, microscopic processes lead to rich macroscopic behavior. Such are found in a variety of disciplines including complex networks, biological populations, and games. These are studied here using analytical arguments, computer simulations, and analysis of empirical data. First, bipartite collaboration networks are studied both empirically and numerically. Such graphs consist of two vertex types, actors and ties, and edges are allowed only between vertices with different types. Empirical measurements reveal stretched exponential degree distributions, significant clustering, and assortative mixing together with sublinear preferential attachment. A new growth model for the graphs is introduced and compared to earlier ones and empirics. All considered models predict some properties correctly while failing on several others, emphasizing the need for more developed models. Next, systems of two interacting populations, hosts and parasitoids, are studied in various environments. The phase diagram is computed both analytically and numerically on a Bethe lattice. The most crucial feature is the lack of a tricritical point: There is no boundary separating phases with both populations alive and both extinct. On scalefree graphs, the parasitoids are shown to behave similarly than the infected nodes in a well-known epidemic model, the susceptible-infected-susceptible model. Consequently, the well-known absense of an epidemic threshold is directly applicable. On square lattices, a similar system with distance-dependent spreading leads to noisy irregular spirals and oscillations with a fluctuating amplitude. The latter is a consequence of a separation of two time scales related to the oscillations. The patterns can also be understood as vortices with topological signs, and measures for the patterning based on these are introduced. Also on an empirical metapopulation landscape serving as the habitat of a butterfly and its parasitoid, spirals form and noise-sustained oscillations are observed. Finally, pattern formation and extinction probabilities are considered in two-dimensional rock-paper-scissors games, also interpretable as models of three interacting populations. It is known that a four-state variant leads to spirals, and that there is a crossover to extinction when their wave length outgrows the system size. Here, it is shown that with three states spirals do not form, but a length scale leading to a similar crossover still exists. A small asymmetry in the reaction rates is shown not to alter the average wave length of the spirals and thus not to influence the crossover. en
dc.format.extent Verkkokirja (1638 KB, 59 s.)
dc.format.mimetype application/pdf
dc.language.iso en en
dc.publisher Teknillinen korkeakoulu en
dc.relation.ispartofseries Dissertations of Department of Applied Physics, 157 en
dc.relation.haspart [Publication 1]: Matti Peltomäki and Mikko Alava. 2006. Correlations in bipartite collaboration networks. Journal of Statistical Mechanics: Theory and Experiment, volume 2006, number 01, P01010, 23 pages. © 2006 Institute of Physics Publishing. By permission. en
dc.relation.haspart [Publication 2]: V. Vuorinen, M. Peltomäki, M. Rost, and M. Alava. 2004. Networks in metapopulation dynamics. The European Physical Journal B, volume 38, number 2, pages 261-268. en
dc.relation.haspart [Publication 3]: Matti Peltomäki, Ville Vuorinen, Mikko Alava, and Martin Rost. 2005. Host-parasite models on graphs. Physical Review E, volume 72, number 4, 046134, 9 pages. © 2005 American Physical Society. By permission. en
dc.relation.haspart [Publication 4]: Matti Peltomäki, Martin Rost, and Mikko Alava. 2008. Oscillations and patterns in interacting populations of two species. Physical Review E, volume 78, number 5, 050903 (R), 4 pages. © 2008 American Physical Society. By permission. en
dc.relation.haspart [Publication 5]: Matti Peltomäki, Martin Rost, and Mikko Alava. 2009. Characterizing spatiotemporal patterns in three-state lattice models. Journal of Statistical Mechanics: Theory and Experiment, volume 2009, number 02, P02042, 31 pages. © 2009 Institute of Physics Publishing. By permission. en
dc.relation.haspart [Publication 6]: Matti Peltomäki and Mikko Alava. 2008. Three- and four-state rock-paper-scissors games with diffusion. Physical Review E, volume 78, number 3, 031906, 7 pages. © 2008 American Physical Society. By permission. en
dc.subject.other Physics en
dc.title Statistical mechanics of complex networks and interacting populations en
dc.type G5 Artikkeliväitöskirja fi
dc.contributor.department Teknillisen fysiikan laitos fi
dc.subject.keyword graphs en
dc.subject.keyword populations en
dc.subject.keyword pattern formation en
dc.subject.keyword extinction threshold en
dc.subject.keyword cyclic dominance en
dc.identifier.urn URN:ISBN:978-951-22-9853-2
dc.type.dcmitype text en
dc.type.ontasot Väitöskirja (artikkeli) fi
dc.type.ontasot Doctoral dissertation (article-based) en


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