Jia, J.S., X. Lu, Y. Yuan, G. Xu, J. Jia, and N.A. Christakis, Population flow drives spatio-temporal distribution of COVID-19 in China. Nature, 2020. 582(7812): p. 389-394. rdcu.be/crUTx

Super large-scale mobility data reveals China's population mobility pattern and urban agglomeration distribution eurekalert.org/news-releases/…

Read my latest #research on #NLP and #Covid-19, published in [Springer: Applied Intelligence] Emoji use in China: popularity patterns and changes due to COVID-19 rdcu.be/cJv8F

A related exploration on how to use #emoji to improve sentiment analysis, published in [Journal of Safety Science and Resilience] Improving sentiment analysis accuracy with emoji embedding sciencedirect.com/science/articl…

Online now in The Innovation: a Cell Press partner journal! Researchers showed a new #perspective on leveraging a universal computational experiment framework based on an #Artificial society to adjust strategies toward a Pareto optimum. Read more doi.org/10.1016/j.xinn… #DataScience

"key current or potential collaborators in computational social science"😁 dash.springernature.com/nature-insight…

Heterogeneous changes in mobility in response to the SARS-CoV-2 Omicron BA.2 outbreak in Shanghai | PNAS pnas.org/doi/10.1073/pn…

Toward parallel intelligence: An interdisciplinary solution for complex systems: The Innovation cell.com/the-innovation… This review highlights the fundamental techniques for parallel intelligence in complex systems

.Bin Zhou, Xiangyi Meng, Petter Holme, xin lu et al. propose an evolutionary model integrating the weight and degree of a node, which allows to better capture degree and degree ratio distributions of real networks and replicate their evolution processes nature.com/articles/s4146…