Estimating point centrality using different network sampling techniques |
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| Affiliation: | 1. Academy of Mathematics and Systems Science, Chinese Academy of Sciences, Beijing 100190, China;2. Institute of Information Engineering, Chinese Academy of Sciences, Beijing 100093, China;3. Centre for Quantum Computation and Intelligent Systems (QCIS), Faculty of Engineering & Information Technology, University of Technology Sydney, NSW 2007, Australia;4. University of Chinese Academy of Sciences, Beijing 100049, China |
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| Abstract: | The paper outlines the methodological choices that analysts must make when sampling social networks and assesses the impact of different sampling techniques on the estimation of network parameters. Using data from Galaskiewicz's (1919) study of Towertown and River City, the results show the extent to which sampling percentage, the number of trials/estimates, sampling procedure, and network size and density affect the ability of researchers to estimate the point centrality of organizations in networks of information and money transactions. |
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