Simulation of Wealth Distribution

Zhang, Fangfeng; More, Tejaswini K.; Zhang, Xuehu

doi:10.1007/978-3-642-25789-6_26

Fangfeng Zhang⁶,
Tejaswini K. More⁷ &
Xuehu Zhang⁸

Part of the book series: Lecture Notes in Electrical Engineering ((LNEE,volume 125))

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Abstract

Under what conditions do inequalities within society emerge? To explore this question we modeled the evolution of unequal distributions of wealth and social capital within artificially constructed societies. In order to better understand the causative factors of unequal wealth distribution, we examined and extended the NETLOGO Wealth Distribution Model made by Michael Gizzi, Tom Lairson and Richard Vail. Cursory examination of the data show that increases in all individuals’ fields of vision decreases inequality as measured by the Gini coefficient. Analyses of extreme examples of the model are helpful in understanding the most potent factors affecting inequality.

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Authors and Affiliations

School of Information, Beijing Wuzi University, Beijing, China
Fangfeng Zhang
School of Medicine, Yale University, New Haven, CT, U.S.A
Tejaswini K. More
Peking University, Beijing, China
Xuehu Zhang

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Fangfeng Zhang
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Tejaswini K. More
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Xuehu Zhang
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Editors and Affiliations

, College of Communication Engineering, Jilin University, Room 313, Building No.1, Changchun, Nanhu Avenue 5372, Jilin, 130012, China, People's Republic
Zhihong Qian
, Department of Electrical Engineering, The University of Mississippi, Anderson Hall 314, Mississippi, 38677, Mississippi, USA
Lei Cao
, Department of Electrical and Computer En, Naval Postgraduate School, Rm. 452 Spanagel Bldg. 232, Dyer Road 833, Monterey, 93943-5121, California, USA
Weilian Su
, Faculty of Computing, London Metropolitan University, Holloway Road 166-220, London, N7 8DB, United Kingdom
Tingkai Wang
, College of Software, Changchun University of Science and Tech, Changchun, Jilin, 130022, China, People's Republic
Huamin Yang

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Zhang, F., More, T.K., Zhang, X. (2012). Simulation of Wealth Distribution. In: Qian, Z., Cao, L., Su, W., Wang, T., Yang, H. (eds) Recent Advances in Computer Science and Information Engineering. Lecture Notes in Electrical Engineering, vol 125. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-25789-6_26

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DOI: https://doi.org/10.1007/978-3-642-25789-6_26
Published: 24 January 2012
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-25788-9
Online ISBN: 978-3-642-25789-6
eBook Packages: EngineeringEngineering (R0)

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