| Extracting directed information flow networks: An application to genetics and semantics. | |
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MedLine Citation:
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PMID: 21405885 Owner: NLM Status: In-Data-Review |
Abstract/OtherAbstract:
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We introduce a general method to infer the directional information flow between populations whose elements are described by n-dimensional vectors of symbolic attributes. The method is based on the Jensen-Shannon divergence and on the Shannon entropy and has a wide range of application. We show here the results of two applications: first we extract the network of genetic flow between meadows of the seagrass Poseidonia oceanica, where the meadow elements are specified by sets of microsatellite markers, and then we extract the semantic flow network from a set of Wikipedia pages, showing the semantic channels between different areas of knowledge. |
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Authors:
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A P Masucci; A Kalampokis; V M Eguíluz; E Hernández-García |
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Publication Detail:
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Type: Journal Article Date: 2011-02-09 |
Journal Detail:
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Title: Physical review. E, Statistical, nonlinear, and soft matter physics Volume: 83 ISSN: 1550-2376 ISO Abbreviation: Phys Rev E Stat Nonlin Soft Matter Phys Publication Date: 2011 Feb |
Date Detail:
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Created Date: 2011-03-16 Completed Date: - Revised Date: - |
Medline Journal Info:
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Nlm Unique ID: 101136452 Medline TA: Phys Rev E Stat Nonlin Soft Matter Phys Country: United States |
Other Details:
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Languages: eng Pagination: 026103 Citation Subset: IM |
Affiliation:
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Instituto de Física Interdisciplinar y Sistemas Complejos IFISC (CSIC-UIB), E-07122 Palma de Mallorca, Spain. |
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From MEDLINE®/PubMed®, a database of the U.S. National Library of Medicine
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