Summary

In this chapter, we’ve pushed the limits of network science by merging network algorithms with quantum computing frameworks, enhanced our understanding of scaling the deep learning algorithms that are ubiquitous in modern data science, and explored special types of networks that are critical in molecular biology and genetics. Network science plays an important role in data science, offering scalability and novel solutions to common problems. As the field of network science evolves, data science and its practitioners will continue to benefit. We hope this book will equip and inspire anyone who works with data to push the boundaries of knowledge and solve difficult problems in the world by using data. Come join us!