COVID-19 pandemic started in late 2019 and scientists contributed to the unexpected coronavirus research promptly. Our project traces 712,294 scientists' publications related to COVID-19 for two years, from January 2020 to December 2021. Our paper emphasizes on the dynamic evolution of COVID-19 collaboration network over time. By studying the collaboration network of COVID-19 scientists, we observe how a pure new scientific community has been built in preparation for a sudden shock. The number of newcomers grows incrementally, and the connectivity of the collaboration network shifts from loose to tight over time. Even though this pandemic provides equal opportunities for every scientist to start a study, collaboration disparity still exists. Only a few top authors are highly connected with other authors, following the scale-free distribution. These top authors are more likely to attract newcomers and work with each other. As the collaboration network evolves, the increase rate in the probability of attracting newcomers for authors with higher degree increases, whereas the increase rates in the probability of forming new links among authors with higher degree decreases.

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