Agent-based modeling and network dynamics / Akira Namatame, Shu-Heng Chen.

Format:

Book

Author/Creator:

Namatame, Akira, 1950- author.

Chen, Shu-Heng, 1959- author.

Contributor:

Alumni and Friends Memorial Book Fund.

Language:

English

Subjects (All):

Multiagent systems.

Intelligent agents (Computer software).

Social sciences--Computer simulation.

Social sciences.

Economics--Computer simulation.

Economics.

Physical Description:

viii, 332 pages : illustrations ; 26 cm

Place of Publication:

Oxford : Oxford University Press, 2016.

Summary:

While the significance of networks in various human behavior and activities has a history as long as human's existence, network awareness is a recent scientific phenomenon. The neologism network science is just one or two decades old. Nevertheless, with this limited time, network thinking has substantially reshaped the recent development in economics, and almost all solutions to real-world problems involve the network element. The book integrates agent-based modeling and network science. It is divided into three parts, namely, foundations, primary dynamics on and of social networks, and applications. The authors begin with the network origin of agent-based models, known as cellular automata, and introduce a number of classic models, such as Schelling's segregation model and Axelrod's spatial game. The essence of the foundation part is the network-based agent-based models in which agents follow network-based decision rules. Under the influence of the substantial progress in network science in late 1990s, these models have been extended from using lattices into using small-world networks, scale-free networks, etc. The text also shows that modern network science mainly driven by game-theorists and socio-physicists has inspired agent-based social scientists to develop alternative formation algorithms, known as agent-based social networks. It reviews a number of pioneering and representative models in this family. Upon the given foundation, the second part reviews three primary forms of network dynamics, such as diffusions, cascades, and influences. These primary dynamics are further extended and enriched by practical networks in goods-and-service markets, labor markets, and international, trade. At the end, the book considers two challenging issues using agent-based models of networks: network risks and economic growth. Book jacket.

Contents:

1 Introduction 1

1.1 Agent-Based Modeling: A Brief Historical Review 1

1.2 Agent Network Dynamics 6

1.3 Outline of the Book 11

2 Network Awareness in Agent-based Models 15

2.1 Network Awareness 15

2.2 First-Generation Models: Lattices 16

2.3 Second-Generation Models: Graphs 38

2.4 Additional Notes 63

3 Collective Dynamics of Adaptive Agents 68

3.1 Collectives 68

3.2 Binary Choices with Externalities 71

3.3 Adaptive Choices with Reinforcement 78

3.4 Network Effects on Adaptive Choices 86

4 Agent-Based Models of Social Networks 91

4.1 Introduction 91

4.2 Game Theory of Network Formation 92

4.3 Network Game Experiments 97

4.4 Agent-Based Modeling 104

4.5 The Skyrms-Pemantle Model 105

4.6 The Zimmermann-Eguiluz Model 110

4.7 The Zschache Model 114

4.8 The Bravo-Squazzoni-Boero Model 119

4.9 Network-based Trust Games 124

4.10 Toward a General Model of Network Dynamics 132

4.11 Additional Notes 133

5 Agent-Based Diffusion Dynamics 135

5.1 Social Diffusion 135

5.2 Diffusion Models 137

5.3 Maximizing and Minimizing Diffusion Thresholds 146

5.4 Comparison of Diffusion in Networks 150

5.5 Key Agents in Diffusion 155

6 Agent-Based Cascade Dynamics 162

6.1 Social Contagion and Cascade Phenomena 162

6.2 Threshold Model 166

6.3 Cascade Dynamics in Networks 172

6.4 Optimizing Cascades in Networks 181

6.5 Cascade Dynamics with Stochastic Rule 191

7 Agent-Based Influence Dynamics 196

7.1 Mutual Influence and Consensus 196

7.2 Opinion Dynamics and Influence Network 199

7.3 Consensus Formation in Networks 207

7.4 Optimal Networks for Fast and Slow Consensus 212

7.5 Network Intervention with Stubborn Agents 222

8 Economic and Social Networks in Reality 230

8.1 Buyer-Seller Networks 230

8.2 Labor Market Network 234

8.3 World Trade Network 246

8.4 Summary 252

9 Agent-Based Modeling of Networking Risks 253

9.1 Networking Risks 253

9.2 Systemic Risks 257

9.3 Cascading Failures and Defense Strategies 266

9.4 Gain from Risk Sharing 274

10 Agent-Based Modeling of Economic Crises 286

10.1 Agent-Based Economics 286

10.2 Model Descriptions 289

10.3 Simulation and Results 295

10.4 Evolving Credit Networks 305.

Notes:

Includes bibliographical references and index.

Local Notes:

Acquired for the Penn Libraries with assistance from the Alumni and Friends Memorial Book Fund.

ISBN:

9780198708285

0198708289

OCLC:

939396144

Publisher Number:

99967504299