NetworkLiteraturePPT
IntroductionNetworks are everywhere. From social connections among individual...
IntroductionNetworks are everywhere. From social connections among individuals to global transportation systems, networks serve as the backbone of many complex systems in nature, society, and technology. Incorporating network science into different fields has enabled the development of novel insights and solutions to complex problems that were once difficult to grasp. In this chapter, we will review some key contributions of network science to the advancement of knowledge in different fields.Network Science in BiologyBiological systems are typically represented as networks, with nodes representing biological species or processes and links denoting interactions or relationships between them. Network analysis has been applied across biology, from genomics to ecology, to better understand the structure and function of these systems (Figure 1).Network Science in Social ScienceSocial networks are collections of individuals, groups, or organizations linked together through some form of social interaction or connection (Box 1). Network science has been widely applied to study social phenomena by representing social relationships as networks of nodes and links (Box 2).Network Science in TechnologyTechnological networks are engineering systems that can range from small networks composed of a few interconnected components to large-scale national and international systems (Box 3). The past decade has seen a surge in the application of network science to improve the design, management, and robustness of these systems.ConclusionNetwork science has revolutionized our ability to analyze, understand, and design complex systems across different fields. The development of novel network-based approaches and tools has enabled investigators to reveal the otherwise obscured patterns and properties of these systems. As we continue to probe the interdisciplinary applications of network science, we envision that future research will bring about more innovative insights and solutions to an even wider range of complex problems.AcknowledgmentsThe preparation of this chapter was supported by the Office of Naval Research, Army Research Office, National Science Foundation, Defense Threat Reduction Agency, and Systems on Integrated Cryptanalysis Environment for the Next Generation (SiCEN), a DARPA seedling project. We would also like to acknowledge the many network science researchers who have contributed to the field's development and whose work has been included in this chapter.
