This book introduces and the new computer-based research methods for studying and modeling complex social phenomena. It is the first coherent collection that surveys the impact that computer-based methods have had on the social and behavioural sciences and illustrates the potential for future research. The methods are presented in an accessible manner and do not assume any background in computer science.
The authors introduce each chapter and explain how computers can help to study social processes and each method is described in relation to a substantive issue to show how it can contribute to our understanding of complex problems. The themes covered include computer simulation, neural and social networks and the visualizat
Table of Contents
Computer Modeling and the Analysis of Complex Human Behavior: Retrospect and Prospect - Wim B G Liebrand PART ONE: COMPUTER MODELLING AND SIMULATIONSMultilevel Process Modeling in the Social Sciences - Klaus G Troitzsch Mathematical Analysis and Computer SimulationModeling Social Dynamics by Cellular Automata - Rainer HegselmannOn the Understanding of the Self-organization of Cognitive Systems - Pieter H de Vries A Strategy for Computer Simulation and Empirical ResearchPART TWO: COMPUTER MODELING AND NEURAL NETWORKSClassification and Prediction by Neural Networks and their Social Implications - Dieter GernertComputational Social Psychology - Andrzej Nowak, Robin R Vallacher and Eugene Burnstein A Neural Network Approach to Interpersonal DynamicsRepresentation of a Structural Equation Model as a Neural Network - Herman J Ad[gr]er and Inge BramsenPART THREE: COMPUTER MODELING AND DATA ANALYSISDesigning Bootstrap Tests Using the Assumed Information - Yiu-Fai Yung, Wai Chan and Peter M Bentler Applications to Cross-ClassificationsIntegrated Analysis of Psychological and Behavioural Data - Reint H Geuze, Rob J van Ouwerkerk and L J M MulderA Picture is Worth... - Alden S Klovdahl Interacting Visually with Complex Network Data