On sampling social networking services
Baiyang Wang
TL;DR
This paper reviews existing social network sampling methods, introduces a faster confidence interval for sampling, and compares various techniques to improve efficiency and accuracy in social network analysis.
Contribution
It proposes a faster confidence interval for sampling methods and provides a comparative analysis of common network sampling techniques.
Findings
Faster confidence interval improves sampling efficiency.
Comparison reveals strengths and weaknesses of different sampling methods.
Enhanced understanding of sampling accuracy in social networks.
Abstract
This article aims at summarizing the existing methods for sampling social networking services and proposing a faster confidence interval for related sampling methods. It also includes comparisons of common network sampling techniques.
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Taxonomy
TopicsHIV, Drug Use, Sexual Risk · HIV/AIDS Research and Interventions · Complex Network Analysis Techniques