A collection of interdependent networks are at the core of modern society, from electric power grids, to the internet, to social and biological networks. Although there are many different forms of interdependence, one important paradigm is that of multiplex networks, where the same set of nodes can simultaneously have many different types of interactions. For instance, in a social network there can be both affiliative and agonistic interactions between the same individuals. Here we will focus on how to quantify the coevolution among the different types of interactions in multiplex networks, how to successfully develop ranking algorithms when the different types of interactions in a multiplex network are of radically different types, and methods for control interventions that consider trade-offs between the different types of interactions and also consider when the interaction types operate on different timescales. The work presented is inspired by and applied to critical infrastructure systems and macaque monkey societies.
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Raissa M. D'Souza is Professor of Computer Science and of Mechanical Engineering at the University of California, Davis, as well as an External Professor at the Santa Fe Institute. She uses the tools of statistical physics and applied mathematics to develop models capturing the interplay between the structure and function of networks. The general principles derived provide insights into the behaviors of real-world networks such as infrastructure networks and social networks, and opportunities to identify small interventions to control the self-organizing, collective behaviors displayed in these systems. She is a Fellow of the American Physical Society, a Fellow of the Network Science Society, and has received several honors such as the inaugural Euler Award of the Network Science Society and the 2018 ACM Test-of-Time award. She is currently Lead Editor at Physical Review Research and on the Board of Reviewing Editors at Science. She was a member of the World Economic Forum's Global Agenda Council on Complex Systems and served as President of the Network Science Society, 2015-18.
