Dissertation Project: Multilayer Networks in Political Science

My dissertation focuses on methods for working with multilayer network representations of complex interdependent systems. I apply these methods to examine the influence transnational actors have on international cooperation.

Statistical Inference for Multilayer Networks in Political Science
Abstract Interactions between units in political systems often occur across multiple relational contexts. These relational systems feature interdependencies that result in inferential shortcomings and poorly-fitting models when ignored. General advancements in inferential network analysis have improved our ability to understand relational systems featuring interdependence, but developments specific to working with interdependence that cross relational contexts remain sparse. In this paper, I introduce a multilayer network approach to modeling systems comprising multiple relations using the exponential random graph model (ERGM). In two substantive applications, the first a policy communication network and the second a global conflict network, I demonstrate that the multilayer approach affords inferential leverage and produces models that better fit observed data.
  • Working paper on SSRN
  • Poster for PolNet 2018 and PolMeth 2018
Multilayer Representation of the Post-Cold War Levantine Conflict Network
The Pugwash Movement’s Effect on International Nuclear Disarmament
Abstract In this paper I examine whether a transnational community of scientists acting as informal diplomats is effective in inducing states to join the international nuclear regime. Concerns over nuclear buildup and proliferation remain salient and constant in today’s global environment. While there is evidence that nuclear arms control agreements are effective in reducing the spread of nuclear weapons, our understanding of what induces states to sign onto these agreements remains nascent. Drawing on the transnational relations literature, I argue that in addition to commonly-identified factors such as economic and security dependence between joiners, transnational scientific communities can exert influence over state behaviour in the realm of nuclear cooperation. Using archival data, I construct a multilayer network comprising states in the international system and individuals from the scientific community dedicated to nuclear disarmament. I model this network using an exponential random graph model, and examine whether these scientists systematically induced states to join the international nuclear regime and the conditions under which they were most effective.
Network of Pugwash Scientists from 1991-1996


Social Activity Hubs: Estimating User Specific Contextual Factors from Social Media Data
Policy-Balancing and Ticket-Splitting: Problems with ‘Preference for Checks and Balances’ in Taiwanese Electoral Studies
Public–Private Partnerships for the Development of Disaster Resilient Communities
Geoprofile for Twitter Account

Ongoing Projects

The Effect of Disaster-induced Displacement on Social and Political Behaviour: The Case of Hurricane Harvey
Who Protests? Using Social Media Data to Solve Ecological Inference Problems in Studies of Mass Behavior
Reconstructing the Transnational Human Trafficking Network
Inferential Analysis of the Supreme Court Citation Network
How Does the Historical Legacy of Local Level Casualties Affect Public Opinion of War?
Formal and Informal Diplomacy in the Asia Pacific Region, 1993-2008
Worst Human Trafficking Offenders over Time.