Agent-Based Modelling of Social Networks in Labour-Education Market System
Object category:
Elektronische Ressource
Person/Institution:
Publisher:
Springer International Publishing
Place of publication:
Cham
Date:
2016
Extent, illustration, format:
Online-Ressource (102 p)
Language:
Englisch
Providing institution:
Additional information
Abstract:
This book covers the modelling of human behaviour in the education and labour markets, which due to their interdependency are viewed as one system. Important factors influencing the decision-making of individuals and firms in this system are discussed. The role of social environment and networks is stressed. The approach of agent-based modelling is presented and compared with standard economic modelling and other simulation techniques in the context of modelling complex adaptive systems. Practical questions in building agent-based models of labour-education market system with social networks are discussed. These questions include modelling the structure of education system and agent behaviour there; modelling and calibrating the labour market without and with firms; generating the social network, defining its behaviour and calibrating it; and embedding the resulting system into a larger model
Object text:
by Alexander Tarvid
Includes bibliographical references and index
Online-Ausg. Springer eBook Collection. Economics and Finance
Includes bibliographical references and index
Online-Ausg. Springer eBook Collection. Economics and Finance
Contents:
Social Networks and Labour-Education Market SystemComplex Adaptive Systems and Agent-Based Modelling -- Using Agent-Based Modelling in Studying Labour-Education Market System.
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Contact
Universität Erfurt
Forschungsbibliothek Gotha
Schloss Friedenstein
Schlossplatz 1
99867 Gotha
+49 361 737-5540
bibliothek.gotha(at)uni-erfurt.de
Forschungsbibliothek Gotha
Schloss Friedenstein
Schlossplatz 1
99867 Gotha
+49 361 737-5540
bibliothek.gotha(at)uni-erfurt.de
Administrative details
Created:
2023-04-13
Last changed:
2023-03-31
Added to portal:
2023-04-13
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