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dc.contributor.author | Shirazi, A. H. | en_US |
dc.contributor.author | Jafari, G. Reza | en_US |
dc.contributor.author | Davoudi, J. | - |
dc.contributor.author | Peinke, J. | - |
dc.contributor.author | Rahimi Tabar, M. Reza | - |
dc.contributor.author | Sahimi, Muhammad | - |
dc.date.accessioned | 2009-07-14T09:46:01Z | - |
dc.date.available | 2009-07-14T09:46:01Z | - |
dc.date.issued | 2009-08 | en_US |
dc.identifier.citation | Journal of Statistical Mechanics: Theory and Experiment (2009) | en_US |
dc.identifier.issn | 1742-5468 (Online) | - |
dc.identifier.uri | http://hdl.handle.net/10261/14881 | - |
dc.description | 15 pages, 5 figures, 1 table.-- Accepted by: Journal of Statistical Mechanics: Theory and Experiment (2009). | - |
dc.description.abstract | We introduce a method by which stochastic processes are mapped onto complex networks. As examples, we construct the networks for such time series as those for free-jet and low-temperature helium turbulence, the German stock market index (the DAX), and the white noise. The networks are further studied by contrasting their geometrical properties, such as the mean-length, diameter, clustering, average number of connection per node. By comparing the network properties of the investigated original time series with those for the shuffled and surrogate series, we are able to quantify the effect of the long-range correlations and the fatness of the probability distribution functions of the series on the constructed networks. Most importantly, we demonstrate that the time series can be reconstructed with high precisions by a simple random walk on their corresponding networks. | en_US |
dc.description.sponsorship | G.R.J. acknowledges financial support by the visiting professor program of the University of the Balearic Islands (UIB). | - |
dc.format.extent | 2373 bytes | - |
dc.format.extent | 580974 bytes | - |
dc.format.mimetype | text/plain | - |
dc.format.mimetype | application/pdf | - |
dc.language.iso | eng | en_US |
dc.relation.isversionof | Preprint | - |
dc.rights | openAccess | en_US |
dc.subject | Complex networks | en_US |
dc.title | Mapping stochastic processes onto complex networks | en_US |
dc.type | preprint | en_US |
dc.description.peerreviewed | Peer reviewed | en_US |
dc.type.coar | http://purl.org/coar/resource_type/c_816b | es_ES |
item.openairetype | preprint | - |
item.grantfulltext | open | - |
item.cerifentitytype | Publications | - |
item.openairecristype | http://purl.org/coar/resource_type/c_816b | - |
item.fulltext | With Fulltext | - |
item.languageiso639-1 | en | - |
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