Network Science PhD Program
at Northeastern University

The Network Science PhD program at Northeastern University is a pioneering interdisciplinary program that provides the tools and concepts aimed at understanding the structure and dynamics of networks arising from the interplay of human behavior, socio-technical infrastructures, information diffusion and biological agents.

The doctoral degree is supported jointly by the Khoury College of Computer Sciences, College of Social Sciences and Humanities, College of Science, Bouvé College of Health Sciences, and D’Amore-McKim School of Business. Our interdisciplinary program provides the conceptual and mathematical tools needed to describe and predict networks in an ever-evolving field. You’ll learn a range of network-based approaches, and will become proficient in relational (graph-based), mathematical, and algorithmic techniques, as well as fundamental network theories that can be used to explain mechanisms and processes of networks across domains—in physical, technological, informational, and social systems.

As the only Network Science program based in the U.S., our curriculum provides a scholarly experience that is truly one of a kind. The program fosters intellectual and quantitative agility, enabling you to combine theoretically-driven inquiries with data collection and analytic tools and theories—while also understanding when, and in what contexts, particular techniques are appropriate and meaningful.

You can learn more about the Network Science PhD program here.



Admitted students typically receive  financial support in the form of a Graduate Assistantship  for 5 years while in good standing in the program. This support typically  includes a stipend, tuition remission, and  health insurance. Assistantships are provided for the first five academic years, plus the first summer. Continuation of your Assistantship is contingent upon fulfilling all academic and graduate assistantship requirements and may be facilitated through your pursuit of external funding sources, such as fellowships or grants. Conditions relating to PhD Student funding can be found here.

Tuition Remission
Student support typically includes a tuition waiver for coursework pertaining to studies.

Graduate Assistantships
Stipends are provided through Graduate Assistantships. The responsibilities required for Assistantships vary, but typically come in the form of Fellowships, Research Assistantships or Teaching Assistantships. Assistantships are offered with the expectation that the student devotes 20 hours per week to their assistantship duties. Students are admitted into the program with a faculty advisor. Student’s assistantship duties are assigned and performed under the supervision of their faculty advisor. 

The stipend rate Network Science Institute for 2021-22 will be approximately $38,000 per year, including the summer. Students are typically paid on a  twice-monthly basis, in the amount $1,583. Stipends are subject to taxes and other mandatory deductions. Assistantships and financial support includes the summer term. We generally have found stipended positions for our students in summers after the first summer following the first academic year, but do not guarantee it at this time.

Research Assistantships (RA)
Support is primarily maintained through research assistantships (RA), for which students are expected to devote 20 hours per week to research assigned through the student’s faculty advisor. RA positions give students the opportunity to participate as members of a research team. Frequently this work leads to the doctoral thesis projects.  Students should expect to spend additional time conducting research in support of their academic studies, such as coursework and activities connected to the dissertation. 

Teaching Assistantships (TA)
Graduate students holding teaching assistant appointments must register as full time resident students and are charged full tuition during the period of appointment. The TA appointment comprises a monthly stipend as well as a tuition scholarship which is credited directly to the student’s account. Teaching Assistants are compensated on the basis of the time devoted to teaching activities. A 100% graduate TA appointment typically includes payment of full tuition for the period of the appointment. Partial appointments (for effort less than 100%) are also possible, and are frequently used to supplement outside fellowships, scholarships, or research assistantships. Students who receive financial support from multiple resources must do so in accordance with department and university guidelines. A 100% teaching assistantship requires no more than 20 hours of effort per week. Northeastern recognizes that graduate students may spend additional time conducting research in support of their academic studies, such as coursework and activities connected to the dissertation.

Other Financial Support
There are also funding opportunities available through external sources where the funds are provided directly to the PhD student rather than through Northeastern University.  External doctoral fellowships typically offer stipends comparable to the NU stipend, and some awards offer additional travel or equipment  funds.  These awards are competitive and rare, though Network Science students have had success with them in the past.  If a student receives an extramural award, the external funds will be applied towards stipend and tuition/fees, and the program and/or advisor will supplement as needed to ensure students receive at least the standard support outlined in the admissions letter. 

Also:  https://phd.northeastern.edu/opportunity/

Occasionally students have need for supplemental financial support. Information on financial aid loans can be found here.

Health Insurance
All students in the NS PhD program receive health insurance and tuition remission. While Northeastern University covers the cost of the individual graduate student health insurance plan (NUSHP) for its fellowship students and graduate assistantships, you will be required to pay all other university-issued fees (including student fees, roughly $130 per semester, the University Health and Counseling Service fee, estimated at $225 per year, and an additional one-time fee of approximately $350 for international students). Additional information on the student health plan can be found here.

We welcome applicants from talented students from all countries around the world. If you have any questions about immigration issues, please feel free to contact us. View President Aoun's statement on embracing our global community here.

International students admitted to the Network Science PhD program typically receive an F-1 Visa. The Office of Global Services is available to answer questions regarding international student The following documents are typically required for the F-1 visa application:

  • Online Non-immigrant Visa Application Form (DS-160) confirmation page

  • Visa application fee payment receipt (visit the U.S. Embassy or U.S. Consulate website for specific instructions)

  • Form I-20 issued by OGS at Northeastern University

  • Valid passport (the passport should be valid for at least six months after your date of entry into the U.S.)

  • Evidence of financial support (proof of sufficient funds for estimated cost of one academic year)

  • Student and Exchange Visitor Information System (SEVIS) I-901 fee payment receipt

  • A copy of your acceptance letter to Northeastern University

  • One photograph (see the U.S. Department of State website for photo requirements)

Our NS doctoral program receives applications from students around the world with diverse backgrounds and research interests. The backgrounds of our incoming students are quite diverse, ranging from mathematics, physics, and computer science, to biology, to epidemiology to psychology, political science, communication, and other social sciences.

International Applicants
We welcome applicants from talented students from all countries around the world. If you have any questions about immigration issues, please feel free to contact us. View President Aoun's statement on embracing our global community here.

The priority application deadline for Fall 2021 is December 1, 2020. Applications received after December 1 may be considered, depending on space availability.

Admission Requirements
A minimum of a baccalaureate from an accredited institution is required. Proficiency in the English language is essential. Students selected must meet minimum requirements for admission to the University (overall undergraduate GPA of 3.0, and a combined GRE Verbal + Quantitative score of 297). Note GRE is optional for applications this year. However, a GPA of 3.5 and a combined GRE V/Q score of 311 are considered competitive. 

International students must submit TOEFL,  IELTS, or Duolingo  scores unless they have earned a degree at an institution where English is the medium of instruction. Students must receive a minimum score of 100 on the Internet-based TOEFL. The TOEFL and GRE scores should be sent to the College of Science. The institution code for College of Science is 3682. 

The following material must be included as part of your application:

  • Application and application fee* 

  • Transcripts from all schools attended

  • GRE scores are recommended

  • Proof of English proficiency (TOEFL exam, IELTS exam, Duolingo exam, or a degree earned at an institution where English is the medium of instruction).

  • Three letters of reference (two of which must address academic competences)

  • Resume

  • A statement of interest (1-2 pages)**


* The application fee for both domestic and international students is $95. After completing the on-line application, directions will be provided for the payment. *If this is a financial burden, on a case by case basis, we will offer application fee waivers.

**The statement of interest (SOI) should include a description of your interest in the program and your career goals Your essay should demonstrate knowledge about the program, and of the types of research carried out by Network Science Institute faculty, and how you and your interests fit with that. It should also include the ways in which your experiences and/or coursework have influenced your development, interest, and your potential as a scholar. 



Applicants should indicate interest in one of the network science institute faculty and/or core research areas as part of their application. Faculty research, lab groups, and recent publications can be found within the Institute website

The program takes a mentoring approach whereby the graduate students work in research groups of faculty, doctoral students, and postdoctoral fellows, with opportunities to conduct research across traditional disciples utilizing network methodologies. In the laboratory, responsibility for collaboration in research gradually shifts from the faculty advisor to the student, culminating in the student’s doctoral dissertation. 

Each student will have one primary faculty advisor from the Network Science Doctoral Program faculty. Students are admitted into the program with a faculty advisor. Students will be expected to select their dissertation advisors by the end of the spring semester of their second year in the program. In most cases, the student’s faculty advisor is expected to become their dissertation advisor.


Applications can be obtained online here.


For advice on applying for a Ph.D., see:
Graduate School Q&A” by Brooke Foucault Welles
“Everything that you wanted to ask about applying for grad school but were afraid to ask” by David Lazer

For other good advice on applying to graduate school see 
“Top 10 Tips for Writing a PhD Statement of Purpose”
“Applying to a Ph.D. Program”

Dynamic hidden-variable network models
Phys. Rev. E
May 13, 2021
Harrison Hartle, Fragkiskos Papadopoulos, and Dmitri Krioukov
Avoiding the bullies: The resilience of cooperation among unequals
PLOS Computational Biology
April 7, 2021
Michael Foley, Rory Smead, Patrick Forber, Christoph Riedl
An early warning approach to monitor COVID-19 activity with multiple digital traces in near real time
Science Advances
March 5, 2021
Nicole E. Kogan, Leonardo Clemente, Parker Liautaud, Justin Kaashoek, Nicholas B. Link, Andre T. Nguyen, Fred S. Lu, Peter Huybers, Bernd Resch, Clemens Havas, Andreas Petutschnig, Jessica Davis, Matteo Chinazzi, Backtosch Mustafa, William P. Hanage, Alessandro Vespignani, Mauricio Santillana
POTION : Optimizing Graph Structure for Targeted Diffusion
arXiv
February 17, 2021
Sixie Yu, Leo Torres, Scott Alfeld, Tina Eliassi-Rad, Yevgeniy Vorobeychik
Generalized word shift graphs: a method for visualizing and explaining pairwise comparisons between texts
SpringerOpen
January 19, 2021
Ryan J. Gallagher, Morgan R. Frank, Lewis Mitchell, Aaron J. Schwartz, Andrew J. Reagan, Christopher M. Danforth & Peter Sheridan Dodds
Identifying and Measuring Conditional Policy Preferences: The Case of Opening Schools During a Pandemic
OSF Preprints
January 13, 2021
Jon Green, Matthew Baum, James Druckman, David Lazer, Katherine Ognyanova, Matthew Simonson, Roy Perlis, Mauricio Santillana
Inferring high-resolution human mixing patterns for disease modeling
Nature Communications
January 12, 2021
Dina Mistry, Maria Litvinova, Ana Pastore y Piontti, Matteo Chinazzi, Laura Fumanelli, Marcelo F. C. Gomes, Syed A. Haque, Quan-Hui Liu, Kunpeng Mu, Xinyue Xiong, M. Elizabeth Halloran, Ira M. Longini Jr., Stefano Merler, Marco Ajelli & Alessandro Vespignani
Spite is contagious in dynamic networks
Nature Communications
January 11, 2021
Zachary Fulker, Patrick Forber, Rory Smead & Christoph Riedl
Network comparison and the within-ensemble graph distance
The Royal Society Publishing
November 4, 2020
Harrison Hartle, Brennan Klein, Stefan McCabe, Alexander Daniels, Guillaume St-Onge, Charles Murphy and Laurent Hébert-Dufresne
Who Says What with Whom: Using Bi-Spectral Clustering to Organize and Analyze Social Media Protest Networks
Computational Communication Research
November 2, 2020
Kenneth Joseph, Ryan J. Gallagher, Brooke Foucault Welles
netrd: A library for network reconstruction and graph distances
arXiv
October 30, 2020
Stefan McCabe, Leo Torres, Timothy LaRock, Syed Arefinul Haque, Chia-Hung Yang, Harrison Hartle, Brennan Klein
Isotopy and energy of physical networks
Nature Physics
October 19, 2020
Yanchen Liu, Nima Dehmamy, and Albert-László Barabási
Assessing the spread of COVID-19 in Brazil: Mobility, morbidity and social vulnerability
PLOS ONE
September 18, 2020
Flávio C. Coelho, Raquel M. Lana, Oswaldo G. Cruz,Daniel A. M. Villela, Leonardo S. Bastos, Ana Pastore y Piontti, Jessica T. Davis, Alessandro Vespignani, Claudia T. Codeço, Marcelo F. C. Gomes
Sustained Online Amplification of COVID-19 Elites in the United States
arXiv
September 15, 2020
Ryan J. Gallagher, Larissa Doroshenko, Sarah Shugars, David Lazer, Brooke Foucault Welles
Estimating the effect of cooperative versus uncooperative strategies of COVID-19 vaccine allocation: a modeling study
September 14, 2020
Matteo Chinazzi, Jessica T. Davis, Natalie E. Dean, Kunpeng Mu, Ana Pastore y Piontti, Xinyue Xiong, M. Elizabeth Halloran, Ira M. Longini Jr, Alessandro Vespignani
Understanding the limitations of network online learning
SpringerOpen
September 9, 2020
Timothy LaRock, Timothy Sakharov, Sahely Bhadra, Tina Eliassi-Rad
Optimal design of experiments to identify latent behavioral types
arXiv
August 10, 2020
Stefano Balietti, Brennan Klein, Christoph Riedl
Generalized Word Shift Graphs: A Method for Visualizing and Explaining Pairwise Comparisons Between Texts
arXiv
August 5, 2020
Ryan J. Gallagher, Morgan R. Frank, Lewis Mitchell, Aaron J. Schwartz, Andrew J. Reagan, Christopher M. Danforth, Peter Sheridan Dodds
Estimating the establishment of local transmission and the cryptic phase of the COVID-19 pandemic in the USA
medRxiv
July 7, 2020
Jessica T. Davis, Matteo Chinazzi, Nicola Perra, Kunpeng Mu , Ana Pastore y Piontti, Marco Ajelli , Natalie E. Dean, Corrado Gioannini, Maria Litvinova, Stefano Merler, Luca Rossi, Kaiyuan Sun, Xinyue Xiong, M. Elizabeth Halloran, Ira M. Longini Jr., Cecile Viboud, Alessandro Vespignani
Classical information theory of networks
Journal of Physics: Complexity
July 3, 2020
Filippo Radicchi, Dmitri Krioukov, Harrison Hartle, Ginestra Bianconi
Good Decisions or Bad Outcomes? A Model for Group Deliberation on Value-Laden Topics
Journal Communication Methods and Measures
June 7, 2020
Sarah Shugars
The why, how, and when of representations for complex systems
arXiv
June 4, 2020
Leo Torres, Ann S. Blevins, Danielle S. Bassett, Tina Eliassi-Rad
Reshaping a nation: Mobility, commuting, and contact patterns during the COVID-19 outbreak
May 11, 2020
Brennan Klein, Timothy LaRock, Stefan McCabe, Leo Torres, Lisa Friedland, Filippo Privitera, Brennan Lake, Moritz U. G. Kraemer, John S. Brownstein, David Lazer, Tina Eliassi-Rad, Samuel V. Scarpino, Alessandro Vespignani, and Matteo Chinazzi
A machine learning methodology for real-time forecasting of the 2019-2020 COVID-19 outbreak using Internet searches, news alerts, and estimates from mechanistic models
arXiv
April 8, 2020
Dianbo Liu, Leonardo Clemente, Canelle Poirier, Xiyu Ding, Matteo Chinazzi, Jessica T Davis, Alessandro Vespignani, Mauricio Santillana
Assessing changes in commuting and individual mobility in major metropolitan areas in the United States during the COVID-19 outbreak
March 31, 2020
Brennan Klein, Timothy LaRock, Stefan McCabe, Leo Torres, Filippo Privitera, Brennan Lake, Moritz U. G. Kraemer, John S. Brownstein, David Lazer, Tina Eliassi-Rad, Samuel V. Scarpino, Matteo Chinazzi, and Alessandro Vespignani
The effect of human mobility and control measures on the COVID-19 epidemic in China
Science
March 25, 2020
Moritz U. G. Kraemer, Chia-Hung Yang, Bernardo Gutierrez, Chieh-Hsi Wu, Brennan Klein, David M. Pigott, Open COVID-19 Data Working Group, Louis du Plessis, Nuno R. Faria, Ruoran Li, William P. Hanage, John S. Brownstein, Maylis Layan, Alessandro Vespignani, Huaiyu Tian, Christopher Dye, Oliver G. Pybus, Samuel V. Scarpino
The effect of travel restrictions on the spread of the 2019 novel coronavirus (COVID-19) outbreak
Science
March 6, 2020
Matteo Chinazzi, Jessica T. Davis, Marco Ajelli, Corrado Gioannini, Maria Litvinova, Stefano Merler, Ana Pastore y Piontti, Kunpeng Mu, Luca Rossi, Kaiyuan Sun, Cécile Viboud, Xinyue Xiong, Hongjie Yu, M. Elizabeth Halloran, Ira M. Longini Jr., Alessandro Vespignani
Phase transitions in information spreading on structured populations
Nature Physics
March 2, 2020
Jessica T. Davis, Nicola Perra, Qian Zhang, Yamir Moreno & Alessandro Vespignani
Understanding the Representation Power of Graph Neural Networks in Learning Graph Topology
NeurIPS
December 19, 2019
Nima Dehmamy, Albert-László Barabási, Rose Yu
The Unmapped Chemical Complexity of Our Diet
Nature
December 9, 2019
Albert-László Barabási, Giulia Menichetti and Joseph Loscalzo
Reclaiming stigmatized narratives: the networked disclosure landscape of #MeToo
SOC arXiv
August 14, 2019
Ryan Gallagher, Elizabeth Stowell, Andrea G. Parker, Brooke Foucault Welles
Improving Robustness to Attacks Against Vertex Classification
MLG'19
August 5, 2019
Benjamin A. Miller, Mustafa Çamurcu, Alexander J. Gomez, Kevin Chan, Tina Eliassi-Rad
Why Keep Arguing? Predicting Engagement in Political Conversations Online
SAGE Open
March 27, 2019
Sarah Shugars and Nicholas Beauchamp
Suppressing the Search Engine Manipulation Effect (SEME)
Proceedings of the ACM: Human-Computer Interaction
November 1, 2018
Epstein, R., Robertson, R.E., Lazer, D., & Wilson, C.
Graph Distance from the Topological View of Non-backtracking Cycles
arXiv
July 20, 2018
Leo Torres, Pablo Suarez-Serrato, Tina Eliassi-Rad
Microblog Conversation Recommendation via Joint Modeling of Topics and Discourse
Proceedings of the NAACL
June 1, 2018
Xingshan Zeng, Jing Li, Lu Wang, Nicholas Beauchamp, Sarah Shugars, Kam-Fai Wong
Auditing the Personalization and Composition of Politically-Related Search Engine Results Pages
WWW '18
April 23, 2018
Ronald E. Robertson, David Lazer, Christo Wilson
Divergent discourse between protests and counter-protests: #BlackLivesMatter and #AllLivesMatter
PLoS ONE
April 18, 2018
Gallagher, R.J., Reagan, A., Danforth, C.M., Dodds, P.S.
Conflict and convention in dynamic networks
Journal of the Royal Society Interface
March 21, 2018
Michael Foley, Patrick Forber, Rory Smead and Christoph Riedl
Games for Civic Renewal
The Good Society
December 1, 2017
Miller J, Shugars, S, Levine, D.
Estimates of non-heterosexual prevalence: The roles of anonymity and privacy in survey methodology
Archives of Sexual Behavior
August 7, 2017
Robertson, R. E., Tran, F., Lewark, L., & Epstein, R.
A DSM-5-Based Online Mental Health Referral Inventory: A Large-Scale Validation Study
Journal of Technology in Human Services
July 14, 2017
Epstein, R., Ho, M., Hyun, S., Le, C., Robertson, R. E., & Stout, D.
Winning on the Merits: The Joint Effects of Content and Style on Debate Outcomes
Transactions of the Association for Computational Linguistics
May 15, 2017
Lu Wang, Sarah Shugars, and Kechen Qin, Nick Beauchamp
A structurational group decision-making perspective on the commons dilemma: Results from an online public goods game
Journal of Applied Communication Research
April 20, 2017
Pilny, A., Poole, M. S., Reichelmann, A., & Klein, B.
Degree Distribution, Rank-size Distribution, and Leadership Persistence in Mediation-Driven Attachment Networks
Physica A: Statistical Mechanics and its Applications
March 1, 2017
Hassan, M. K., Islam, L., & Haque, S. A.
The frequency profile: An informative method for graphing the behavior of individuals post hoc or in real time
Behavior Analysis: Research and Practice
February 1, 2017
Epstein, R., Mejia, J., & Robertson, R. E.

Contact

Mark Giannini

PhD Program Coordinator

m.giannini@neu.edu

 617.373.8856