Network Analysis

This article asks why armed groups form high-end cooperation—training or intelligence sharing—even though such ties raise downstream political risks. The author develops a principal–agent theoretical logic: principals (providers of high-end support) mitigate risk by choosing agents who are skill-complementary but politically non-substitutable, while agents accept support only when it does not politically overshadow them. The study uses original network data on 53 groups in Northeast India from 1981–2021 and applies temporal exponential random graph models (TERGMs) to test the theory, producing evidence about organizational capacity differences, complementary attack portfolios, and constituency distinctiveness as correlates of high-end cooperation.

How can defense alliances capture efficiency gains when coordination and opportunism costs are high? Specializing within a collective offers economic and functional benefits, but states still must bargain over how those gains are distributed and keep collective-action costs from eroding cooperation. The central argument is that alliances combining high strategic compatibility with clear hierarchy minimize these problems by distributing defense capabilities efficiently and encouraging complementarity rather than redundancy.

Global value chains (GVCs) tie firms into cross-border production networks that reshape trade politics. Traditional political-economy models often ignore these production linkages and thus cannot explain the widespread, cross-industry trade coalitions observed in practice. A GVC-centered framework argues that shared foreign partners create interdependent preferences that encourage collective action for trade liberalization.

This research investigates political discussion networks among American voters. Using innovative methods, the authors analyze how partisan divides shape conversations online and offline. The findings reveal striking patterns of homophily - individuals primarily discuss politics with those holding similar views despite geographic or social proximity to ideological opposites. This polarization extends beyond media consumption into intimate personal interactions. Key insights emerge from analyzing digital communication platforms alongside traditional survey data about interpersonal political talk. Results show not just that people converse within their own bubbles, but how these bubbles form and persist across different contexts.

The authority of U.S. Supreme Court majority opinions rests largely on their use as precedents. Existing studies of citation patterns face two key limitations: dyadic citations are usually aggregated to the case level, and citations are treated as if they arise independently. This paper presents a method that addresses both issues and models citations at the dyadic, network level.

Reserved seat legislators in Pakistan's National Assembly initiate more bills and cosponsor a wider range of legislation than nonreserved male counterparts. A network analysis reveals they frequently connect disparate partisan groups within the legislative sphere. This empirical pattern challenges conventional electoral incentive models, suggesting institutional weakness may be better explained by reserved seats' political engagement.

The rise of anti-Islam rhetoric in post-2015 France raises crucial questions about the far right. Does it rely on old-fashioned racism, inviting pushback? Or does it use a more sophisticated approach to blend with national values and gain political traction?

A novel method quantifies political relationships by analyzing large-scale event data using latent factor network models.

This study investigates perceptions of polarization among Americans by examining their discussion networks.

Three questions drive this comparative study: How are national intelligence systems organized? How is power distributed among organizations in each country? What organizational risks emerge from those structures?

Extended Party Networks, conceptualizing political parties as dynamic systems of interest groups collaborating to support candidates.