Complex Networks and Systems

Are you interested in exploring and understanding how the parts of a system interact with each other to drive the behavior of the system as a whole, in areas as diverse as social networks, the human brain, a language, power grids, financial markets, or gene regulatory networks? The complex networks and systems (CNS) track may be for you.

When you study CNS, you’ll explore new solutions for problems in computer science, physics, math, biology, health, and cognitive and social sciences. You might determine what makes a certain YouTube video go viral, examine Instagram data to discover adverse reactions caused by drug interactions, or develop a model that can accurately predict the spread of misinformation online.

The complex networks and systems track includes:

Learn about related research

Training in this track is consolidated and enhanced by the Center for Complex Networks and Systems Research ( CNetS) and the Center for Social and Biomedical Complexity ( CSBC).

See how the National Science Foundation Research Traineeship (NRT) award to Indiana University will address a growing need with an integrated dual PhD program that trains students to be "bidisciplinary" in Complex Networks and Systems (CNS) and another discipline of their choosing from the natural and social sciences.

Description of the video:

00:00 [Music]
00:06 NRT are the top graduate education
00:09 programs at the National Science
00:10 Foundation funds we have been here at
00:13 Indiana University training PhD students
00:16 for over 14 years in complex networks
00:19 and systems in network science and
00:20 complexity I was attracted to the
00:23 program by the opportunity to work with
00:25 such a diverse group of students and
00:28 faculty who had all kinds of interests
00:30 but were united by a common desire to
00:33 study complexity one of the big
00:35 advantages for students in this program
00:37 is that they can pair their interesting
00:39 and complex networks and systems but yet
00:42 deep in training into another area
00:45 merging this complex systems informatics
00:47 approach with the like cognitive science
00:50 approach which is my other field we had
00:52 a lot of sense in terms of what I want
00:53 to research they gave me an option to
00:55 pull together my own program essentially
00:58 by merging these two fields weiu is an
01:02 ideal place to do this program because
01:05 it is one of the very top places in the
01:07 world in complex networks and systems
01:08 every day it feels like there's a talk
01:11 that I want to attend or it seems like
01:13 there's a class that I want to be taking
01:16 if you have a sense of what you want to
01:19 pursue but you can't you feel like it
01:21 kind of sits in between spaces that are
01:23 they exist the energy is really great
01:25 for that

Track Guide

Primary Track Faculty

: Track Director

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

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.

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

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

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.


Required Courses

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

NOTE: A student must take I609 and/or I709.

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

  • Theory and Methodology Requirement (12 cr.)

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

  • Minor (6-15 cr.)

NOTE: 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.)

NOTE: 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.

Optional Courses