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 PhD in Network Science is an interdisciplinary program supported jointly by the Bouvé College of Health Sciences, College of Arts, Media and Design, College of Science, D’Amore-McKim School of Business, College of Social Sciences and Humanities, and Khoury College of Computer Sciences.

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.

Our Mentoring Approach
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.

Our Network Science 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.

The application deadline for Fall 2025 is December 1, 2024.

Types of Applicants
Applicants to our Portland, ME campus

Applicants interested in working with one of our faculty members, Matteo Chinazzi or Guillaume St-Onge, in our Portland, ME campus will still need to select Boston as their desired location on the application portal.

Admitted students for the AY25-26 who are selected to work with our faculty in our Portland, ME location will do their first year in Boston and are expected to move to Portland in Year 2. We anticipate that from AY26-27 students will be able to start the PhD program in Portland from Year 1.

International Applicants

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

Admission Requirements
Language Proficiency Requirement

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 Social Sciences and Humanities (CSSH). The institution code for the College of Social Sciences and Humanities (CSSH) is 3682.

In some cases the language proficiency requirement might be waived. For a list of such examples please check here.

Recommended Background Qualifications

Incoming PhD students should have a strong academic foundation in quantitative and computational skills, including topics like undergraduate-level mathematics, probability, and statistics. Your application materials should show proficiency in these areas, or you may address gaps by outlining a plan to get those skills. We are happy to discuss strategies for skill-building, and admitted students will have opportunities to strengthen these concepts through workshops and coursework. Please feel free to reach out with any questions.

Program Information

For more information about applying to the Network Science PhD Program, read this Q&A,“Everything that you wanted to know about applying for grad school but were afraid to ask” by former PhD Program Director David Lazer.

How to Apply
Application System

Applications should be submitted through the SLATE application portal: https://enroll.northeastern.edu/apply/

Application Materials

The following materials 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 competencies)

  • Resume

  • Statement of Purpose (SOP) (1-2 pages)

Statement of Purpose

The statement of purpose (SOP) 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

For Portland, ME applicants:

Applicants interested in working with one of our faculty members, Matteo Chinazzi or Guillaume St-Onge, in our Portland, ME campus should explicitly state this in their SOP. If they mention the Portland location and our faculty's names in their statement they will certainly be considered for that location during the application review process.

Application Fee

The application fee for both domestic and international students is $100. After completing the on-line application, directions will be provided for the payment. If this is a financial burden, application fee waivers can be offered on a case by case basis. To officially request an application fee waiver, please email the College of Social Sciences and Humanities at gradcssh@northeastern.edu.

Useful Links

For other good advice on applying to graduate school see: 

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)


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.

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 annual (including the summer) stipend rate at the Network Science Institute for 2025-2026 will be approximately $43,050. Students are typically paid on a twice-monthly basis.

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 in research projects as members of a research team. Frequently, this work leads to the students' 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 their 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. 

Occasionally, students have a 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 $375 for international students). Additional information on the student health plan can be found here.

When is the program application deadline?

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The priority application deadline for Fall 2025 is December 1, 2024.

Where will I be located if admitted to work with faculty in the Portland, ME location?

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Admitted students for the AY25-26 who are selected to work with our faculty, Matteo Chinazzi or Guillaume St-Onge, in our Portland, ME location will do their first year in Boston and are expected to move to Portland in Year 2. We anticipate that from AY26-27 students will be able to start the PhD program in Portland from Year 1.

I am interested in the PhD program at the London UK campus. How can I apply?

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NU London PhD follows a model shared by many European institutions, where students apply to work on a specific project and complete their doctoral degree requirements mostly through research (or with minimal coursework) over 3.5 years. For these positions, there is no application process from the US, positions are posted from NU London as they become available.

The following Q&As are relevant to the application process for our US-based PhD program at the Boston, MA and Portland, ME campuses.

What materials should I submit to apply?

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

· Statement of Purpose (SOP)
· Transcripts from all institutions attended
· 3 letters of recommendation
· GRE scores recommended but not required
· Proof of English proficiency (TOEFL exam, IELTS exam, Duolingo exam, or a degree earned at an institution where English is the medium of instruction).


The statement of purpose (SOP) 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.

Applicants interested in working with one of our faculty members in our Portland, ME campus should explicitly state this in their SOP. They will still need to select Boston as their desired location in the application portal but if they mention the Portland location and our faculty's names in their statement they will certainly be considered for that location during the application review process.

How do I select the “Network Science” program on my application?

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Admission for the Network Science program is housed in the College of Social Science and Humanities. For the application, be sure to select [Social Science and Humanities] in the [College/School] field. Network Science should then be listed as a program.

How can I select the Portland, ME location on my application?

+

Applicants interested in working with one of our faculty members, Matteo Chinazzi or Guillaume St-Onge, in our Portland, ME campus should explicitly state this in their SOP. They will still need to select Boston as their desired location in the application portal but if they mention the Portland location and our faculty's names in their statement they will certainly be considered for that location during the application review process.

How do I know if my transcripts and test scores have been received?

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Please contact the Graduate Student Service office (gradcssh@northeastern.edu) to check if your transcripts and test scores have been received. The Graduate Student Service office receives and processes all application material for the Network Science PhD program. Please note that an electronic copy of your transcripts, uploaded with your application, is required for the review process. Should you be accepted, and decide to enroll, an official copy of your transcripts is required within 30 days of matriculation.

How do I view the status of my application to the PhD program at NU?

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As we continually look for ways to improve and enhance the student experience, Northeastern University has recently moved to Slate, an admissions application platform designed to provide each student a unique and personalized admissions experience. During this period of transition, you may experience delays in response to your questions regarding application status and updates. For the most up to date information regarding the standing of your application, please visit enroll.northeastern.edu/apply/status

For questions unrelated to Fall 2025 applications, please allow 1-3 business days for a response.  

Is the application fee waiver available? What should I do to get the waiver?

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To officially request an application fee waiver, please email the College of Social Sciences and Humanities at gradcssh@northeastern.edu.

What are the details regarding TOEFL requirements? Do I still need to take the language proficiency test if I have previously gone to an English-speaking school?

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Here are some examples where you may not have to provide us with a language proficiency test score report, but please do be advised that language proficiency will be determined during the application review process.

· You have/will receive a bachelor’s, master’s or doctoral degree from a U.S. institution.
· You are a citizen of a country where English is the official/primary language.*
· You have/will receive a bachelor’s, master’s or doctoral degree from a country where English is the official/primary language.*
· You have/will receive a bachelor’s, master’s or doctoral degree abroad from an accredited, American university abroad.
· English is the medium language of instruction at the program where you have/will receive a bachelor’s, master’s or doctoral degree. This information must be clearly stated on your transcript.*
* Please refer to the College of Social Sciences and Humanities (CSSH) which is your intended college, to determine if this waiver applies. To contact CSSH use this email address: gradcssh@northeastern.edu You may be asked to provide official documentation from your institution that states that English is the only medium of instruction.  

Please note that we consider graduate certificates as a non-degree and as such they will not satisfy the language proficiency requirement.

The TOEFL and GRE scores should be sent to the College of Social Sciences and Humanities (CSSH). The institution code for College of Social Sciences and Humanities (CSSH) is 3682.

How is the program admittance determined?

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As with many PhD programs, admittance to the Network Science PhD program is determined on a case by case basis, where applicants’ background and area of academic interest are evaluated by the faculty who sit on the admissions committee, and each have their own criteria. It is difficult to put forth a metric or guideline as to what they are specifically looking for.. Of the students who were admitted, the average GPA was over 3.5 on a 4 point scale. GRE Qualitative, Quantitative, and Analytical Writing scores were in the upper percentiles.

Recommended Background Qualifications

Incoming PhD students should have a strong academic foundation in quantitative and computational skills, including topics like undergraduate-level mathematics, probability, and statistics. Your application materials should show proficiency in these areas, or you may address gaps by outlining a plan to get those skills. We are happy to discuss strategies for skill-building, and admitted students will have opportunities to strengthen these concepts through workshops and coursework. Please feel free to reach out with any questions.

What is the financial support package for this program?

+

The financial support typically involves a stipend, tuition waiver, and health insurance. For the AY 2025-2026 year, the stipend will be $14,350 per semester, or $43,050 for the fall, spring, and summer term.

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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
Estimating the establishment of local transmission and the cryptic phase of the COVID-19 pandemic in the USA
National Library of Medicine
August 28, 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
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
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
Evolving epidemiology and transmission dynamics of coronavirus disease 2019 outside Hubei province, China: a descriptive and modelling study
The Lancet
April 2, 2020
Juanjuan Zhang, Maria Litvinova, Wei Wang, Yan Wang, Xiaowei Deng, Xinghui Chen, Mei Li, Wen Zheng, Lan Yi, Xinhua Chen, Qianhui Wu, Yuxia Liang, Xiling Wang, Juan Yang, Kaiyuan Sun, Ira M Longini Jr, M Elizabeth Halloran, Peng Wu, Benjamin J Cowling, Stefano Merler, Cecile Viboud, Alessandro Vespignani, Marco Ajelli, Hongjie Yu
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
Science, advocacy, and quackery in nutritional books: an analysis of conflicting advice and purported claims of nutritional best-sellers
Nature
March 17, 2020
Rebecca M. Marton, Xindi Wang, Albert-László Barabási & John P. A. Ioannidis
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
A structural transition in physical networks
Nature
November 28, 2018
Nima Dehmamy, Soodabeh Milanlouei & Albert-László Barabási
Auditing Partisan Audience Bias within Google Search
Proceedings of the ACM: Human-Computer Interaction
November 6, 2018
Ronald E. Robertson, Shan Jiang, Kenneth Joseph, Lisa Friedland, David Lazer, Christo Wilson
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.
Quantifying the risk of local Zika virus transmission in the contiguous US during the 2015–2016 ZIKV epidemic
BMC Medicine
October 18, 2018
Kaiyuan Sun, Qian Zhang, Ana Pastore-Piontti, Matteo Chinazzi, Dina Mistry, Natalie E Dean, Diana Patricia Rojas, Stefano Merler, Piero Poletti, Luca Rossi, M Elizabeth Halloran, Ira M Longini Jr and Alessandro Vespignani
Graph Distance from the Topological View of Non-backtracking Cycles
arXiv
July 20, 2018
Leo Torres, Pablo Suarez-Serrato, Tina Eliassi-Rad
Causal Set Generator and Action Computer
Computer Physics Communications
June 4, 2018
W. J. Cunningham and D. Krioukov
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.
Success in Books: A Big Data Approach to Bestsellers
EPJ Data Science
April 6, 2018
Burcu Yucesoy, Xindi Wang, Junming Huang and Albert-László Barabási
Inference of boundaries in causal sets
Classical and Quantum Gravity
April 4, 2018
William J Cunningham
Conflict and convention in dynamic networks
Journal of the Royal Society Interface
March 21, 2018
Michael Foley, Patrick Forber, Rory Smead and Christoph Riedl
Anchored correlation explanation: Topic modeling with minimal domain knowledge
Transactions of the Association for Computational Linguistics
December 1, 2017
Gallagher, R. J., Reing, K., Kale, D., & Steeg, G. V.
Games for Civic Renewal
The Good Society
December 1, 2017
Miller J, Shugars, S, Levine, D.
Navigability of Random Geometric Graphs in the Universe and Other Spacetimes
Nature Scientific Reports
August 18, 2017
William Cunningham, Konstantin Zuev, Dmitri Krioukov
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.
Random walks on activity-driven networks with attractiveness
Phys. Rev. E
May 25, 2017
Laura Alessandretti, Kaiyuan Sun, Andrea Baronchelli, and Nicola Perra
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
Spread of Zika virus in the Americas
PNAS
April 25, 2017
Qian Zhang, Kaiyuan Sun, Matteo Chinazzi, Ana Pastore y Piontti, Natalie E. Dean, Diana Patricia Rojas, Stefano Merler, Dina Mistry, Piero Poletti, Luca Rossi, Margaret Bray, M. Elizabeth Halloran, Ira M. Longini Jr., Alessandro Vespignani
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.
Latent geometry of bipartite networks
Physical Review E
March 8, 2017
Maksim Kitsak, Fragkiskos Papadopoulos, and Dmitri Krioukov
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.

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