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Computational Social Network Analysis - Herausgegeben:Snásel, Vaclav; Hassanien, Aboul-Ella; Abraham, Ajith
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Herausgegeben:Snásel, Vaclav; Hassanien, Aboul-Ella; Abraham, Ajith:

Computational Social Network Analysis - Primera edición

2009, ISBN: 9781848822283

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[ED: Hardcover], [PU: Springer / Springer London / Springer, Berlin], Social networks provide a powerful abstraction of the structure and dynamics of people-to-technology interaction. Com… Más…

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Computational Social Network Analysis: Trends, Tools and Research Advances - Ajith Abraham
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Ajith Abraham:

Computational Social Network Analysis: Trends, Tools and Research Advances - encuadernado, tapa blanda

2009, ISBN: 1848822286

[EAN: 9781848822283], Neubuch, [PU: SPRINGER NATURE Dez 2009], COMPUTERS - DATA BASE MANAGEMENT; / DATABASES GENERAL; USER INTERFACES; SOCIAL ASPECTS GENERAL, This item is printed on dema… Más…

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Computational Social Network Analysis by Ajith Abraham Hardcover | Indigo Chapters
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Computational Social Network Analysis by Ajith Abraham Hardcover | Indigo Chapters - libro nuevo

ISBN: 9781848822283

Social networks provide a powerful abstraction of the structure and dynamics of diverse kinds of people or people-to-technology interaction. Web 2.0 has enabled a new generation of web-ba… Más…

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Computational Social Network Analysis : Trends, Tools and Research Advances - libro usado

ISBN: 9781848822283

Social networks provide a powerful abstraction of the structure and dynamics of diverse kinds of people or people-to-technology interaction. Web 2.0 has enabled a new generation of web-ba… Más…

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Computational Social Network Analysis
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Computational Social Network Analysis - Pasta blanda

2010, ISBN: 9781848822283

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Detalles del libro
Computational Social Network Analysis

Social networks provide a powerful abstraction of the structure and dynamics of diverse kinds of people or people-to-technology interaction. Web 2.0 has enabled a new generation of web-based communities, social networks, and folksonomies to facilitate collaboration among different communities. This unique text/reference compares and contrasts the ethological approach to social behavior in animals with web-based evidence of social interaction, perceptual learning, information granulation, the behavior of humans and affinities between web-based social networks. An international team of leading experts present the latest advances of various topics in intelligent-social-networks and illustrates how organizations can gain competitive advantages by applying the different emergent techniques in real-world scenarios. The work incorporates experience reports, survey articles, and intelligence techniques and theories with specific network technology problems. Topics and Features: Provides an overview social network tools, and explores methods for discovering key players in social networks, designing self-organizing search systems, and clustering blog sites, surveys techniques for exploratory analysis and text mining of social networks, approaches to tracking online community interaction, and examines how the topological features of a system affects the flow of information, reviews the models of network evolution, covering scientific co-citation networks, nature-inspired frameworks, latent social networks in e-Learning systems, and compound communities, examines the relationship between the intent of web pages, their architecture and the communities who take part in their usage and creation, discusses team selection based on members' social context, presents social network applications, including music recommendation and face recognition in photographs, explores the use of social networks in web services that focus on the discovery stage in the life cycle of these web services. This useful and comprehensive volume will be indispensible to senior undergraduate and postgraduate students taking courses in Social Intelligence, as well as to researchers, developers, and postgraduates interested in intelligent-social-networks research and related areas.

Detalles del libro - Computational Social Network Analysis


EAN (ISBN-13): 9781848822283
ISBN (ISBN-10): 1848822286
Tapa dura
Tapa blanda
Año de publicación: 2010
Editorial: SPRINGER NATURE
485 Páginas
Peso: 0,855 kg
Idioma: eng/Englisch

Libro en la base de datos desde 2008-10-16T03:10:55+02:00 (Madrid)
Página de detalles modificada por última vez el 2024-01-15T08:46:10+01:00 (Madrid)
ISBN/EAN: 9781848822283

ISBN - escritura alterna:
1-84882-228-6, 978-1-84882-228-3
Mode alterno de escritura y términos de búsqueda relacionados:
Autor del libro: abraham, daniel arnaud, aboul
Título del libro: social network analysis, abraham, social networks


Datos del la editorial

Autor: Ajith Abraham; Aboul-Ella Hassanien; Vaclav Snášel
Título: Computer Communications and Networks; Computational Social Network Analysis - Trends, Tools and Research Advances
Editorial: Springer; Springer London
485 Páginas
Año de publicación: 2009-12-22
London; GB
Impreso en
Idioma: Inglés
160,49 € (DE)
164,99 € (AT)
177,00 CHF (CH)
POD
XII, 485 p. 203 illus.

BB; Hardcover, Softcover / Informatik, EDV/Datenkommunikation, Netzwerke; Netzwerk-Hardware; Verstehen; Collaboration; Web 2.0; clustering; network analysis; online; online community; trust; visualization; Computer Communication Networks; Database Management; User Interfaces and Human Computer Interaction; Computers and Society; Datenbanken; Mensch-Computer-Interaktion; Digital- und Informationstechnologien: soziale und ethische Aspekte; EA; BC

Social networks provide a powerful abstraction of the structure and dynamics of diverse kinds of people or people-to-technology interaction. Web 2.0 has enabled a new generation of web-based communities, social networks, and folksonomies to facilitate collaboration among different communities. This unique text/reference compares and contrasts the ethological approach to social behavior in animals with web-based evidence of social interaction, perceptual learning, information granulation, the behavior of humans and affinities between web-based social networks. An international team of leading experts present the latest advances of various topics in intelligent-social-networks and illustrates how organizations can gain competitive advantages by applying the different emergent techniques in real-world scenarios. The work incorporates experience reports, survey articles, and intelligence techniques and theories with specific network technology problems. Topics and Features: Provides an overview social network tools, and explores methods for discovering key players in social networks, designing self-organizing search systems, and clustering blog sites Surveys techniques for exploratory analysis and text mining of social networks, approaches to tracking online community interaction, and examines how the topological features of a system affects the flow of information Reviews the models of network evolution, covering scientific co-citation networks, nature-inspired frameworks, latent social networks in e-Learning systems, and compound communities Examines the relationship between the intent of web pages, their architecture and the communities who take part in their usage and creation Discusses team selection based on members’ social context Presents social network applications, includingmusic recommendation and face recognition in photographs Explores the use of social networks in web services that focus on the discovery stage in the life cycle of these web services This useful and comprehensive volume will be indispensible to senior undergraduate and postgraduate students taking courses in Social Intelligence, as well as to researchers, developers, and postgraduates interested in intelligent-social-networks research and related areas.
This essential reference features the latest advances of research in intelligent social networks and includes applications of different techniques in real-world scenarios, providing the reader with a deeper understanding of the topic

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