Sarr / Missaoui | Social Network Analysis - Community Detection and Evolution | Buch | 978-3-319-38474-0 | sack.de

Buch, Englisch, 272 Seiten, Previously published in hardcover, Format (B × H): 155 mm x 235 mm, Gewicht: 4984 g

Reihe: Lecture Notes in Social Networks

Sarr / Missaoui

Social Network Analysis - Community Detection and Evolution


Softcover Nachdruck of the original 1. Auflage 2014
ISBN: 978-3-319-38474-0
Verlag: Springer International Publishing

Buch, Englisch, 272 Seiten, Previously published in hardcover, Format (B × H): 155 mm x 235 mm, Gewicht: 4984 g

Reihe: Lecture Notes in Social Networks

ISBN: 978-3-319-38474-0
Verlag: Springer International Publishing


This book is devoted to recent progress in social network analysis with a high focus on community detection and evolution. The eleven chapters cover the identification of cohesive groups, core components and key players either in static or dynamic networks of different kinds and levels of heterogeneity. Other important topics in social network analysis such as influential detection and maximization, information propagation, user behavior analysis, as well as network modeling and visualization are also presented. Many studies are validated through real social networks such as Twitter. This edited work will appeal to researchers, practitioners and students interested in the latest developments of social network analysis.

Sarr / Missaoui Social Network Analysis - Community Detection and Evolution jetzt bestellen!

Zielgruppe


Research

Weitere Infos & Material


The Emergence of Communities and their Leaders on Twitter Following an Extreme Event.- Hierarchical and Matrix Structures in a Large Organizational Email Network: Visualization and Modeling Approaches.- Networks of Different Perspectives for Inter-network Community Evolution.- Study of Influential Trends, Communities, and Websites on the Post-Election Events of Iranian Presidential Election in Twitter.- Entanglement in Multiplex Networks: Understanding Group Cohesion in Homophily Networks.- An Elite Grouping of Individuals for Expressing a Core Identity Based on the Temporal Dynamicity or the Semantic.- The Power of Consensus: Random Graphs Still Have No Communities.- Link Prediction in Heterogeneous Collaboration.- Characterization of User Online Dating Behavior and Preference on a Large Online Dating.- Latent Tunnel Based Information Propagation in Microblog Networks.- Maximization with Network Abstractions.



Ihre Fragen, Wünsche oder Anmerkungen
Vorname*
Nachname*
Ihre E-Mail-Adresse*
Kundennr.
Ihre Nachricht*
Lediglich mit * gekennzeichnete Felder sind Pflichtfelder.
Wenn Sie die im Kontaktformular eingegebenen Daten durch Klick auf den nachfolgenden Button übersenden, erklären Sie sich damit einverstanden, dass wir Ihr Angaben für die Beantwortung Ihrer Anfrage verwenden. Selbstverständlich werden Ihre Daten vertraulich behandelt und nicht an Dritte weitergegeben. Sie können der Verwendung Ihrer Daten jederzeit widersprechen. Das Datenhandling bei Sack Fachmedien erklären wir Ihnen in unserer Datenschutzerklärung.