Statistical models for social networks as dependent variables must represent the typical
network dependencies between tie variables such as reciprocity, homophily, transitivity, etc …

Modern multilevel analysis, whereby outcomes of individuals within groups take into account
group membership, has been accompanied by impressive theoretical development (eg …

We propose a new stochastic actor-oriented model for the co-evolution of two-mode and one-
mode networks. The model posits that activities of a set of actors, represented in the two …

Interlocking directorates, in which companies are linked by the directors that serve on their
boards, exist globally. It is an expression of hegemonic power exercised by the elites of a …

Public management and policy scholars have empirically demonstrated that in complex
policy arenas, governments depend on the collaboration of policy actors outside their direct …

Cooperation helps states realize mutual gains, but mistrust and disagreements over
institutional design inhibit cooperation. This article develops a network explanation for how …

The temporal exponential random graph model (TERGM) and the stochastic actor-oriented
model (SAOM, eg, SIENA) are popular models for longitudinal network analysis. We …

We explore how firms protect themselves from the risks of knowledge spillover to indirectly
connected rivals in a network of interorganizational ties. We argue that the safeguards to …

The literature on agent-based models has been highly successful in replicating many
stylized facts of financial and macroeconomic time series. Over the past decade, however …

We analyze the temporal bipartite network of the leading Irish companies and their directors
from 2003 to 2013, encompassing the end of the Celtic Tiger boom and the ensuing …