Please use this identifier to cite or link to this item: http://hdl.handle.net/10261/44596
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Título : Extracting directed information flow networks: an application to genetics and semantics
Autor : Masucci, A. P., Eguíluz, Víctor M., Hernández-García, Emilio, Kalampokis, A.
Fecha de publicación : 2011
Editor: American Physical Society
Resumen: 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 extracting the network of genetic flow between the meadows of the seagrass Poseidonia Oceanica, where the meadow elements are specified by sets of microsatellite markers, then we extract the semantic flow network from a set of Wikipedia pages, showing the semantic channels between different areas of knowledge.
Descripción : PACS numbers: 02.50.-r,87.18.-h,89.75.Fb,89.65.-s,89.75.Hc,05.10.-
Versión del editor: http://dx.doi.org/10.1103/PhysRevE.83.026103
URI : http://hdl.handle.net/10261/44596
ISSN: 1539-3755
DOI: 10.1103/PhysRevE.83.026103
Citación : Physical Review E 83: 026103 (1-6) (2011)
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