Innovators, Imitators, and the Evolving Architecture of Social Networks
AbstractScientific progress is driven by innovation ?which serves to produce a diversity of ideas ?and imitation through a social network ?which serves to diffuse these ideas. In this paper, we develop an agent-based computational model of this process, in which the agents in the population are heterogeneous in their abilities to innovate and imitate. The model incorporates three primary forces ?the discovery of new ideas by those with superior abilities to innovate, the observation and adoption of these ideas by those with superior abilities to communicate and imitate, and the endogenous development of social networks among heterogeneous agents. The objective is to explore the evolving architecture of social networks and the critical roles that the innovators and imitators play in the process. A central finding is that the emergent social network takes a chainstructure with the innovators as the main source of ideas and the imitators as the connectors between the innovators and the masses. The impact of agent heterogeneity and environmental volatility on the network architecture is also characterized.
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Bibliographic InfoPaper provided by The Johns Hopkins University,Department of Economics in its series Economics Working Paper Archive with number 529.
Date of creation: Sep 2005
Date of revision:
This paper has been announced in the following NEP Reports:
- NEP-ALL-2005-09-29 (All new papers)
- NEP-INO-2005-09-29 (Innovation)
- NEP-MIC-2005-09-29 (Microeconomics)
- NEP-NET-2005-09-29 (Network Economics)
- NEP-SOC-2005-09-29 (Social Norms & Social Capital)
Please report citation or reference errors to , or , if you are the registered author of the cited work, log in to your RePEc Author Service profile, click on "citations" and make appropriate adjustments.:
- Myong-Hun Chang & Joseph E Harrington Jr, 2002.
"Discovery and Diffusion of Knowledge in an Endogenous Social Network,"
Economics Working Paper Archive
489, The Johns Hopkins University,Department of Economics.
- Myong-Hun Chang, . "Discovery and Diffusion of Knowledge in an Endogenous Social Network," Modeling, Computing, and Mastering Complexity 2003 01, Society for Computational Economics.
- Colin Camerer & Teck-Hua Ho, 1999. "Experience-weighted Attraction Learning in Normal Form Games," Econometrica, Econometric Society, vol. 67(4), pages 827-874, July.
- David Goldbaum, 2009. "Follow the Leader: Steady State Analysis of a Dynamic Social Network," Working Paper Series 158, Finance Discipline Group, UTS Business School, University of Technology, Sydney.
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