Agent-Based Modelling of Social Networks in Labour–Education Market System

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...

Πλήρης περιγραφή

Λεπτομέρειες βιβλιογραφικής εγγραφής
Κύριος συγγραφέας: Tarvid, Alexander (Συγγραφέας)
Συγγραφή απο Οργανισμό/Αρχή: SpringerLink (Online service)
Μορφή: Ηλεκτρονική πηγή Ηλ. βιβλίο
Γλώσσα:English
Έκδοση: Cham : Springer International Publishing : Imprint: Springer, 2016.
Σειρά:SpringerBriefs in Complexity,
Θέματα:
Διαθέσιμο Online:Full Text via HEAL-Link
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003 DE-He213
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100 1 |a Tarvid, Alexander.  |e author. 
245 1 0 |a Agent-Based Modelling of Social Networks in Labour–Education Market System  |h [electronic resource] /  |c by Alexander Tarvid. 
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300 |a X, 92 p. 18 illus., 8 illus. in color.  |b online resource. 
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490 1 |a SpringerBriefs in Complexity,  |x 2191-5326 
505 0 |a Social Networks and Labour-Education Market System -- Complex Adaptive Systems and Agent-Based Modelling -- Using Agent-Based Modelling in Studying Labour-Education Market System. 
520 |a 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. 
650 0 |a Game theory. 
650 0 |a Labor economics. 
650 1 4 |a Economics. 
650 2 4 |a Labor Economics. 
650 2 4 |a Game Theory, Economics, Social and Behav. Sciences. 
650 2 4 |a Data-driven Science, Modeling and Theory Building. 
650 2 4 |a Applications of Graph Theory and Complex Networks. 
710 2 |a SpringerLink (Online service) 
773 0 |t Springer eBooks 
776 0 8 |i Printed edition:  |z 9783319265377 
830 0 |a SpringerBriefs in Complexity,  |x 2191-5326 
856 4 0 |u http://dx.doi.org/10.1007/978-3-319-26539-1  |z Full Text via HEAL-Link 
912 |a ZDB-2-ECF 
950 |a Economics and Finance (Springer-41170)