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Springer Social Computing, Behavioral Modeling, and Prediction - Springer

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Description

Social Computing, Behavioral Modeling, and Prediction explores how computational systems enable the study of social behaviour and context in digital environments. This Springer publication examines behavioural modeling techniques that reproduce social interactions, allowing researchers and practitioners to experiment with, analyse, and deeply understand behaviour patterns and potential outcomes. The book addresses how pervasive computer and Internet technologies create unprecedented opportunities for people to share opinions, exchange experiences, offer advice, and conduct experiments. It covers the essential processes of social computing including model building, analysis, pattern mining, anticipation, and prediction, providing readers with comprehensive insights into how computational approaches can extract meaningful patterns from social data and forecast future behaviours and trends.

Key Features

Springer's authoritative guide to social computing theory and its applications in understanding digital social behaviour.

Detailed coverage of behavioural modeling techniques that enable experimentation and analysis of social interaction patterns.

Comprehensive exploration of pattern mining, anticipation, and prediction methods within social computing frameworks.

Practical insights into how computational systems facilitate analysis of opinions, experiences, and social experiments conducted online.

Essential resource for researchers and professionals studying AI and machine learning applications in social contexts.

Product Specifications

Format
paperback
Domain
Amazon UK
Publication Date
04 November 2010
Listed Since
01 October 2010

Barcode

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