Limitar la búsqueda a ejemplares disponibles



Cubierta del libro
EBOOKS

Título Online Social Media Analysis and Visualization [electronic resource] / edited by Jalal Kawash.

Descripción física XVI, 233 p. 94 illus., 76 illus. in color. online resource.
text txt rdacontent
computer c rdamedia
online resource cr rdacarrier
text file PDF rda
Colección Lecture Notes in Social Networks, 2190-5428
Lecture Notes in Social Networks, 2190-5428
       Mostrar referencias similares
Springer eBooks. Computer Science
       Mostrar referencias similares
Contiene: Identifying Event-Specific Sources from Social Media -- Demographic and Psychographic Estimation of Twitter Users Using Social Structures -- Say It with Colors: Language-Independent Gender Classification on Twitter -- TUCAN: Twitter User Centric Analyzer -- Evaluating Important Factors and Effective Models for Twitter Trend Prediction -- Rings: a Visualization Mechanism to Enhance the User Awareness on Social Networks -- Friends and Circles ́㠁 Design Study for Contact Management in Egocentric Online Social Networks -- Genetically Optimized Realistic Social Network Topology Inspired by Facebook -- A Workbench for Visual Design of Executable and Re-usable Network Analysis Workflows -- On the Usage of Network Visualization for Multiagent System Verification.
Resumen: This edited volume addresses the vast challenges of adapting Online Social Media (OSM) to developing research methods and applications. The topics cover generating realistic social network topologies, awareness of user activities, topic and trend generation, estimation of user attributes from their social content, behavior detection, mining social content for common trends, identifying and ranking social content sources, building friend-comprehension tools, and many others. Each of the ten chapters tackle one or more of these issues by proposing new analysis methods or new visualization techniques, or both, for famous OSM applications such as Twitter and Facebook. This collection of contributed chapters address these challenges. Online Social Media has become part of the daily lives of hundreds of millions of users generating an immense amount of 'social content'. Addressing the challenges that stem from this wide adaptation of OSM is what makes this book a valuable contribution to the field of social networks.
Materia Computer science.
Data mining.
Application software.
Physics.
Statistics.
Computer Science.
       Mostrar referencias similares
Computer Appl. in Social and Behavioral Sciences.
       Mostrar referencias similares
Statistics for Social Science, Behavorial Science, Education, Public Policy, and Law.
       Mostrar referencias similares
Complex Networks.
       Mostrar referencias similares
Data Mining and Knowledge Discovery.
       Mostrar referencias similares
Autor secundario Kawash, Jalal., editor.
SpringerLink (Online service)
En Springer eBooks
OTRO SOPORTE Printed edition: 9783319135892
ISBN 9783319135908 978-3-319-13590-8
ISBN/ISSN 10.1007/978-3-319-13590-8 doi