Principal-Agent Activities on Small World Network

Min Li; Rui Qiu Ou; Yan Ling Song

doi:10.4028/www.scientific.net/AMM.727-728.969

Paper Titles

Design and Implementation of Error Simulator Based FPGA for Optical Data Link Transfer Test
p.951

Detecting Link Communities Based on Hadoop
p.955

Development Technology of Excel Data Server Application with DELPHI ADO + RemObjectcs Combined (Part 1: The Server Side)
p.959

Optimization and Management in Order to Drive Targeted Networking Memory Database
p.965

Principal-Agent Activities on Small World Network
p.969

The Key Technologies for Classification of Distributed Data Streams
p.976

A Study on the Pros and Cons of Automatic Speech Translation - On the Speech to Speech Translation System Latest Achieved by Microsoft
p.982

Research and Development on 3D Simulation Training Evaluation System of Substation Based on Unity3D
p.987

BP Neural Network Model Selection of Software Reliability Based on MATLAB
p.991

HomeApplied Mechanics and MaterialsApplied Mechanics and Materials Vols. 727-728Principal-Agent Activities on Small World Network

Principal-Agent Activities on Small World Network

Abstract:

As a medium forcommunication and coalition, social network plays an important role in economicactivities. Empirical researches indicate that most of social networks performsignificant small-world characteristics, so this paper assumes the socialnetwork among merchants is a small-world network, and then studies the agencyactivities of merchants by means of simulation based on a game model. We findthat if the average degree of the network increases, the wage of agents willdecrease and social efficiency will increase, but the probability of emergenceof third-part institutions such as courts, which is the basis of modern marketeconomy, will decrease.

You might also be interested in these eBooks

Frontiers of Mechanical Engineering and Materials Engineering III

View Preview

Info:

Periodical:

Applied Mechanics and Materials (Volumes 727-728)

Pages:

969-975

DOI:

https://doi.org/10.4028/www.scientific.net/AMM.727-728.969

Citation:

Cite this paper

Online since:

January 2015

Authors:

Min Li, Rui Qiu Ou, Yan Ling Song

Keywords:

Efficiency, Market Mechanism, Principal-Agent Activities, Simulation, Social Network

Export:

RIS, BibTeX

Price:

Permissions CCC:

Request Permissions

Permissions PLS:

Request Permissions

Сopyright:

Citation:

References

[1] Fafchamps, M. and Lund, S., Risk-Sharing Networks in Rural Philippines [M], mimeo: Stanford University, (2000).

Google Scholar

[2] De Weerdt, J., Risk-Sharing and Endogenous Network Formation [M], mimeo: K.U. Leuven, (2002).

Google Scholar

[3] Avner Grief, Cultural Beliefs and the Organization of Society: A Historical and Theoretical Reflection on Collectivist and Individualist Societies [J], Journal of Political Economic, 1994, 102(5): 912-950.

DOI: 10.1086/261959

Google Scholar

[4] Milgram, S., The small world problem [J], Psychology Today, 1967 (2): 60–67.

Google Scholar

[5] Albert, R., Barabasi, A L., Statistical mechanics of complex networks [J], Reviews of Modern Physics, 2002, 74: 47.

Google Scholar

[6] Newman M E J. The structure of scientific collaboration networks [J]. Proc. Natl. Acad. Sci. USA, 2001, 98: 404–409.

Google Scholar

[7] Newman M E J. The Structure and Function of Complex Networks [J]. SIAM Review, 2003, 45: 167–256.

Google Scholar

[8] Jackson, M. and Rogers, B., Meeting Strangers and Friends of Friends: How Random are Socially Generated Networks?[J], American Economic Review, 2007, 97(3): 890-915.

DOI: 10.1257/aer.97.3.890

Google Scholar

[9] Watts, D. and S.H. Strogatz, Collective dynamics of small-world, networks [J], Nature, 1998, 393: 440-442.

DOI: 10.1038/30918

Google Scholar