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Selforganizology, 2017, 4(1): 10-13
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Article

Estimation of node richness by sampling: Application of nonparametric methods

WenJun Zhang
School of Life Sciences, Sun Yat-sen University, Guangzhou 510275, China; International Academy of Ecology and Environmental Sciences, Hong Kong

Received 9 December 2015;Accepted 17 January 2016;Published 1 March 2017
IAEES

Abstract
In the sampling of statistc networks (Zhang, 2011, 2012a, 2012b), the number of new nodes will decline as increase of sample size, and it tends to an upper asymptote as sample size tends to the infinity. However, in most cases our sampling is incomplete. Therefore, the exact number of nodes of a stastic network is unknown. We need to find some methods to estimate node richness in statistic networks. In this study, I use some of the known nonparametric methods to estimate node richness. Computer software and codes were given.

Keywords statistic network;node richness;estimation.

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