PhD Minor in Network Science

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The Ph.D. minor degree Program in Network Science offers doctoral students in any Indiana University Doctoral Program, given Department and/or School approval, training in the theoretical, methodological, analytic and practical approaches to increase our understanding of the nature, origins and influences of natural, social and technological networks. This program draws on the expertise of the wide range and number of faculty across Indiana University who focus on networks and interdependent ties in systems from society, technology, and animal/human systems. These faculty are drawn from the School of Informatics and Computing, and the Departments of Psychological and Brain Sciences, Sociology, History and Philosophy of Science, Statistics, Physics, Political Science, and Economics in the College of Arts and Sciences. This minor represents an opportunity for Ph.D. students to be introduced to the complexity of a cutting-edge transdisciplinary perspective that spans substantive issues from genes to global cultures.

Course Requirements

The curriculum aims to serve the needs of a wide range of doctoral students across Indiana University while working to interface with existing departmental curricular course offerings. Network Science courses are linked to Departments and Schools and do not represent a foundational area at this point in time. As such, the requirements combine two types of courses: 1) Foundational courses on networks in disciplines that focus on how this perspective translates into theories, tools and discovery in the area, and 2) Phenomenon or Topic-based courses that include a substantial component that addresses how Network Science is or can be used in this case. Given that these courses are generally required for Ph.D. degrees in departments and schools, but are considered electives, any particular course cannot be expected to be offered in every semester or every year. Give this limitation, a total of twelve (12) credits is required. Since most graduate courses are 3 credit hours, the minor requirements are expected to be completed with four courses. The four courses will be split between the two types of courses listed above. Specifically, with the advice of Network Science faculty in the home discipline and in concert with the transdisciplinary expertise in the IU Network Science Institute (IUNI), students may select two courses from Category 1 below, including the basic Network Science course in their or a closely related discipline. The remaining two courses can be selected from Category 2 under the same conditions of advice. The course listing is expected to change with selections augmented over the next decade with new faculty arriving at IU and the IUNI research program maturing. A complete listing will be held at the IUNI office of the Assistant Director for Research Administration.


All courses included in the minor program are currently offered within the context of existing programs.

Cross-Listed Courses

CATEGORY 1 - Foundational Courses: Department or school-based courses with primary focus on network science

Cognitive Science
COGS-Q 610 Networks of the Brain

Computer Science
CSCI-B 656 Web Mining

ECON-E 724 Network Formation Games

Information and Library Science
ILS-Z 644 Information Networks
ILS-Z 637 Information Visualization

INFO-I 601 Introduction to Complex Networks and Systems
INFO-I 585 Biologically-Inspired Computing
INFO-I 590 Complex Networks and Their Applications
INFO-I 590 Mining the Social Web
INFO-I 609 Complex Systems Seminar I

SOC-S 651 Social Network Analysis
SOC-S 660 Social Networks

STAT-S 681 Introduction to Network Analysis
STAT-S 681 Statistical Network Analysis
STAT-S 681 Statistical Methods for Networks

CATEGORY 2 - Phenomenon or Topic-based Courses: Department or school-based courses with major network components

Cognitive Science
COGS-Q 700 Digital Methods in History and Philosophy

Computer Science
CSCI-B 565 Data Mining

Computer Science (IUPUI)
CSCI 57300 Data Mining
CSCI 59000 Data Communication and Computer Networks

ECON-E 585 Industrial Organization and Control

GEOG-G 539 Advanced Geographic Information Science

INFO-I 590 Large Scale Social Phenomena

Information and Library Science
ILS-Z 636 Data Semantics
ILS-Z 639 Social Media Mining

Informatics (IUPUI)
INFO-B 646 Computational Systems Biology

INFO-I 590 Collective Intelligence
INFO-I 690 Mathematical Modeling of Complex Systems
INFO-I 701 Advanced Complex Systems Seminar II
INFO-I 709 Complex Systems

PHSY-P 582 Biological and Artificial Neural Networks

Political Science
POLS-Y 557 Contextual Analysis
POLS-Y 669 Network Analysis and World Politics

Psychological and Brain Sciences
PSY-P 533 Introduction to Bayesian Data Analysis I
PSY-P 657 Statistical Methods for Networks

STAT-S 675 Statistical Learning and High Dimensional Data Analysis


Distinguished Professor and IUNI Co-Director Bernice A. Pescosolido (Sociology)

Core Faculty

(An asterisk [*] denotes membership in the University Graduate School faculty with the endorsement to direct doctoral dissertations.)

Distinguished Professor
Bernice Pescosolido* (Sociology)
Olaf Sporns* (Psychological and Brain Sciences, IUB)

Colin Allen* (History of Philosophy and Science, IUB)
Katy Börner* (School of Informatics and Computing, IUB)
Arjan Durresi (Department of Computer and Information Science, IUPUI)
John K. Kruschke* (Psychological and Brain Sciences, IUB)
Filippo Menczer* (School of Informatics and Computing, IUB)
Frank Page Jr.* (Economics, IUB)
Luis Rocha* (School of Informatics and Computing, IUB)
Michael Trosset* (Statistics, IUB)
Stanley Wasserman* (Psychological and Brain Sciences, Statistics, IUB)

Associate Professors
Aniruddha "Rudy" Banerjee (Geography, IUB)
John M. Beggs* (Physics, IUB)
Johan Bollen* (School of Informatics and Computing, IUB)
Jake Chen* (BioHealth Informatics, IUPUI)
Ying Ding* (School of Informatics and Computing, IUB)
Alessandro Flammini* (School of Informatics and Computing, IUB)
Staša Milojević* (School of Informatics and Computing, IUB)

Assistant Professors
Yong Yeol Ahn* (School of Informatics and Computing, IUB)
Mohammad Al Hasan (Computer and Information Science, IUPUI)
Weihua An* (Sociology, Statistics, IUB)
Filomena Garcia* (Economics, IUB)