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.

Assessing the spread of COVID-19 in Brazil: Mobility, morbidity and social vulnerability
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
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
September 9, 2020
Timothy LaRock, Timothy Sakharov, Sahely Bhadra, Tina Eliassi-Rad
Optimal design of experiments to identify latent behavioral types
August 10, 2020
Stefano Balietti, Brennan Klein, Christoph Riedl
Generalized Word Shift Graphs: A Method for Visualizing and Explaining Pairwise Comparisons Between Texts
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
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
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
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
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
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
December 19, 2019
Nima Dehmamy, Albert-László Barabási, Rose Yu
The Unmapped Chemical Complexity of Our Diet
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
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
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
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
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.


Mark Giannini

PhD Program Coordinator