dc.contributor.author | Aguirre Maeso, Carlos | |
dc.contributor.author | Huerta, Ramón | |
dc.contributor.author | Corbacho Abelaira, Fernando | |
dc.contributor.author | Pascual Broncano, Pedro José | |
dc.contributor.other | UAM. Departamento de Ingeniería Informática | es_ES |
dc.date.accessioned | 2015-03-17T19:02:42Z | |
dc.date.available | 2015-03-17T19:02:42Z | |
dc.date.issued | 2002 | |
dc.identifier.citation | Artificial Neural Networks — ICANN 2002: International Conference Madrid, Spain, August 28–30, 2002 Proceedings. Lecture Notes in Computer Science, Volumen 2415. Springer 2002. 27-32. | en_US |
dc.identifier.isbn | 978-3-540-44074-1 (print) | en_US |
dc.identifier.isbn | 978-3-540-46084-8 (online) | en_US |
dc.identifier.issn | 0302-9743 (print) | en_US |
dc.identifier.issn | 1611-3349 (online) | en_US |
dc.identifier.uri | http://hdl.handle.net/10486/664629 | |
dc.description | The final publication is available at Springer via http://dx.doi.org/10.1007/3-540-46084-5_5 | en_US |
dc.description | Proceedings of International Conference Madrid, Spain, August 28–30, 2002 | en_US |
dc.description.abstract | Small-World networks are highly clusterized networks with small distances between their nodes. There are some well known biological networks that present this kind of connectivity. On the other hand, the usual models of Small-World networks make use of undirected and unweighted graphs in order to represent the connectivity between the nodes of the network. These kind of graphs cannot model some essential characteristics of neural networks as, for example, the direction or the weight of the synaptic connections. In this paper we analyze different kinds of directed graphs and show that they can also present a Small-World topology when they are shifted from regular to random. Also analytical expressions are given for the cluster coefficient and the characteristic path of these graphs. | en_US |
dc.description.sponsorship | We thank the Ministerio de Ciencia y Tecnología (BFI 2000-015). (RH) was also funded by DE-FG03-96ER14092, (CA) was partially supported by ARO-MURI grant DAA655-98-1-0249 during a four month stay in UCSD. (PP) and (CA) are partially supported by PB98-0850 | en_US |
dc.format.extent | 7 pág. | es_ES |
dc.format.mimetype | application/pdf | en |
dc.language.iso | eng | en |
dc.publisher | Springer Berlin Heidelberg | |
dc.relation.ispartof | Lecture Notes in Computer Science | en_US |
dc.rights | © Springer-Verlag Berlin Heidelberg 2002 | |
dc.subject.other | Computation by Abstract Devices | en_US |
dc.subject.other | Pattern Recognition | en_US |
dc.subject.other | Image Processing and Computer Vision | en_US |
dc.subject.other | Bioinformatics | en_US |
dc.subject.other | Neurosciences | en_US |
dc.title | Analysis of biologically inspired small-world networks | en_US |
dc.type | conferenceObject | en |
dc.type | bookPart | en |
dc.subject.eciencia | Informática | es_ES |
dc.relation.publisherversion | http://dx.doi.org/10.1007/3-540-46084-5_5 | |
dc.identifier.doi | 10.1007/3-540-46084-5_5 | |
dc.identifier.publicationfirstpage | 27 | |
dc.identifier.publicationlastpage | 32 | |
dc.identifier.publicationvolume | 2415 | |
dc.relation.eventdate | August 28–30, 2002 | en_US |
dc.relation.eventplace | Madrid (Spain) | en_US |
dc.relation.eventtitle | International Conference on Artificial Neural Networks, ICANN 2002 | en_US |
dc.type.version | info:eu-repo/semantics/acceptedVersion | en |
dc.contributor.group | Neurocomputación Biológica (ING EPS-005) | es_ES |
dc.rights.accessRights | openAccess | en |
dc.authorUAM | Huerta Rico, Ramón (259903) | |
dc.authorUAM | Corbacho Abelaira , Fernando (267638) | |
dc.facultadUAM | Escuela Politécnica Superior | |