A0151
Title: Network approaches in healthcare, business and social sciences
Authors: Mike So - The Hong Kong University of Science and Technology (Hong Kong) [presenting]
Abstract: The use of network science to analyze complex relationships among variables or individuals has been recognized as an important approach in the literature. In statistical research, efforts have been devoted to developing network models, statistical inference procedures and prediction in time series of networks. Regarding applications, cases can be found in classical social network analysis, studies of interfirm relationships and systemic risk through the financial news, and the assessment of COVID-19 pandemic risk. Challenges in statistical modelling and inference are discussed. Recent examples of applying dynamic network ideas for tracking human behaviours and financial and pandemic risks are also reviewed. The examples also demonstrate the importance of interdisciplinary collaborations, including econometrics and statistical methods, in network science research for sustainable societal impacts.
