Complex Networks and Systems Handbook

Primary Track Faculty

Structure and dynamics of complex systems, such as society and living organisms, using massive datasets.  Hierarchical & modular structure in social and biological networks, the analysis of metabolic networks, and the social media.

Cognitive science, computational and theoretical biology. Understanding how coordinated behavior arises from the dynamical interaction of an animal’s nervous system, its body and its environment. Evolution and analysis of dynamical “nervous systems” for model agents, neuromechanical modeling of animals, biologically-inspired robotics, and dynamical systems approaches to behavior and cognition.

Computational social science, social media analytics, informetrics, and digital libraries. Meme diffusion, markets and sentiment, metrics from usage data, science of science.

Data-Driven Science of Science, Bibliometrics, Semantic Web, Data-Driven Knowledge Discovery, AI powered Drug Discovery, Knowledge Graph and Mining.

Statistical physics of social dynamics, Community structure in complex networks, Science of Science.

Information and Transportation Networks. City settlement activity, Information Creation and Consumption, Online Traffic, Protein Interaction Networks.

Neural basis of behavior, Embodied Cognition, Computational Neuroscience, Evolutionary Robotics, Artificial Life, Complex Systems.

Web science, social media, social networks, social computing, Web search and data mining, distributed and intelligent Web applications, and modeling of complex information networks.

Dynamics of science as a social and an intellectual (cognitive), science, technology, and society (STS), science of science, information science, network science, economics, sociology, philosophy, history.

Complex systems, computational biology, artificial life, embodied cognition and bio-inspired computing, dynamics in complex networks, text and literature mining, evolutionary systems, adaptive search and recommendation, and biosemiotics.

Complex Networks and Systems, Data Science, Science of Science, Sport Analytics.


A student must successfully complete ninety (90) credit hours of graduate-level course work. The specific track requirements are listed below.

Informatics Core Requirements (6 cr.)

  • INFO I501 Introduction to Informatics (3 cr.)
  • INFO I502 Human-Centered Research Methods in Informatics (3 cr.)

Complex Systems & Networks Core Requirements (6 cr.)

  • INFO I601 Introduction to Complex Systems (3 cr.)
  • INFO I690 Mathematical Methods for Complex Systems (3 cr.)

Seminar Requirement (6 cr.)

  • INFO I609 Seminar I in Informatics: Complex Systems (3 cr.)
  • INFO I709 Seminar II in Inforamtics: Complex Systems (3 cr.)

Research Rotation Requirement (6 cr.)

  • INFO I790 Informatics Research Rotation (3 cr.)

A student must complete two rotations of I790. A third rotation will not count for course credit.

Theory and Methodology Requirement (12 cr.)

These courses must be appropriate for a Ph.D. in Informatics.

Minor (6-15 cr.)

A student must complete an internal or external minor approved by the University Graduate School and the School. If a student selects an individualized minor, prior to taking courses, the University Graduate School must approve the proposed minor course list. There is no typical minor; however, students in the Complex Systems & Networks track often pursue a minor in Biology, Computer Science, or Statistics.

Electives (12-30 cr.)

A student must have all electives approved by the student's advisor and the Director of Informatics Graduate Studies prior to enrolling in the course.

Thesis Reading and Research (minimum of 21 cr. and a maximum of 30 cr.)

  • INFO I890 Thesis Readings and Research