Network Science Meets Data Science: Opportunities and Challenges

Speaker:  Feng Xia – Melbourne, VIC, Australia
Topic(s):  Computational Theory, Algorithms and Mathematics


There is an emerging trend of the convergence of network science and data science, though neither of them is new. During the past decade, we have witnessed the exponential growth of data in almost all domains in industry and society, including e.g. healthcare, research, finance, transportation, and education. With increasing availability of big data, data science has been recognized as one major driving force for next-generation innovation, economy, and education. Network science has been well developed over the past few decades, and it is still exploding. Networks are everywhere. Network science has become increasingly important for understanding and dealing with complex real-world phenomena. The convergence of network science and data science will bring us not only unprecedented potentials, but also a lot of new and big challenges. This talk will introduce some recent advances in this direction. 

About this Lecture

Number of Slides:  81
Duration:  100 minutes
Languages Available:  Chinese (Simplified), English
Last Updated: 

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