| Titre : |
Complex networks |
| Type de document : |
texte imprimé |
| Auteurs : |
CompleNet 2012 (2012; Florida Institute of Technology), Auteur ; Ronaldo Menezes, Autre ; Alexandre Evsukoff, Autre ; Marta C. González, Autre |
| Editeur : |
Berlin : Springer |
| Année de publication : |
cop. 2013 |
| Collection : |
Studies in computational intelligence num. 424 |
| Importance : |
1 online resource (1 texte électronique) |
| ISBN/ISSN/EAN : |
978-3-642-30287-9 |
| Note générale : |
266 pages
ISBN-10 : 3642302866
ISBN-13 : 978-3642302862
Dimensions du produit : 15.6 x 1.75 x 23.39 cm
Éditeur : Springer-Verlag Berlin and Heidelberg GmbH & Co. K (27 juillet 2012)
Langue : : Anglais |
| Langues : |
Anglais (eng) |
| Mots-clés : |
Complex networks agents communities clusters emergence in netwoorks netwoorks in biology |
| Index. décimale : |
004 Traitement des Données |
| Résumé : |
In the last decade we have seen the emergence of a new inter-disciplinary field concentrating on the understanding large networks which are dynamic, large, open, and have a structure that borders order and randomness. The field of Complex Networks has helped us better understand many complex phenomena such as spread of decease, protein interaction, social relationships, to name but a few.
The field of Complex Networks has received a major boost caused by the widespread availability of huge network data resources in the last years. One of the most surprising findings is that real networks behave very distinct from traditional assumptions of network theory. Traditionally, real networks were supposed to have a majority of nodes of about the same number of connections around an average. This is typically modeled by random graphs. But modern network research could show that the majority of nodes of real networks is very low connected, and, by contrast, there exists some nodes of very extreme connectivity (hubs).
The current theories coupled with the availability of data makes the field of Complex Networks (sometimes called Network Sciences) one of the most promising interdisciplinary disciplines of today. This sample of works in this book gives as a taste of what is in the horizon such controlling the dynamics of a network and in the network, using social interactions to improve urban planning, ranking in music, and the understanding knowledge transfer in influence networks. |
| Note de contenu : |
Titre de l'écran-titre (visionné le 10 octobre 2012)
Bibliogr |
Complex networks [texte imprimé] / CompleNet 2012 (2012; Florida Institute of Technology), Auteur ; Ronaldo Menezes, Autre ; Alexandre Evsukoff, Autre ; Marta C. González, Autre . - Berlin : Springer, cop. 2013 . - 1 online resource (1 texte électronique). - ( Studies in computational intelligence; 424) . ISBN : 978-3-642-30287-9 266 pages
ISBN-10 : 3642302866
ISBN-13 : 978-3642302862
Dimensions du produit : 15.6 x 1.75 x 23.39 cm
Éditeur : Springer-Verlag Berlin and Heidelberg GmbH & Co. K (27 juillet 2012)
Langue : : Anglais Langues : Anglais ( eng)
| Mots-clés : |
Complex networks agents communities clusters emergence in netwoorks netwoorks in biology |
| Index. décimale : |
004 Traitement des Données |
| Résumé : |
In the last decade we have seen the emergence of a new inter-disciplinary field concentrating on the understanding large networks which are dynamic, large, open, and have a structure that borders order and randomness. The field of Complex Networks has helped us better understand many complex phenomena such as spread of decease, protein interaction, social relationships, to name but a few.
The field of Complex Networks has received a major boost caused by the widespread availability of huge network data resources in the last years. One of the most surprising findings is that real networks behave very distinct from traditional assumptions of network theory. Traditionally, real networks were supposed to have a majority of nodes of about the same number of connections around an average. This is typically modeled by random graphs. But modern network research could show that the majority of nodes of real networks is very low connected, and, by contrast, there exists some nodes of very extreme connectivity (hubs).
The current theories coupled with the availability of data makes the field of Complex Networks (sometimes called Network Sciences) one of the most promising interdisciplinary disciplines of today. This sample of works in this book gives as a taste of what is in the horizon such controlling the dynamics of a network and in the network, using social interactions to improve urban planning, ranking in music, and the understanding knowledge transfer in influence networks. |
| Note de contenu : |
Titre de l'écran-titre (visionné le 10 octobre 2012)
Bibliogr |
|  |
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