2 citations · 5 across the 6 of their papers we have counts for
6 papers
Efficient Topic Model Estimation under Heavy-Tailed Document Lengths
Daniel Cirkovic, Tiandong Wang
Early inquiries into the statistical properties of natural language found that words tend to occur with power-law frequencies. This observation, closely associated with Zipf's law,…
On tail inference in scale-free inhomogeneous random graphs
Daniel Cirkovic, Tiandong Wang, Daren B. H. Cline
Both empirical and theoretical investigations of scale-free network models have found that large degrees in a network exert an outsized impact on its structure. However, the tools…
Emergence of Multivariate Extremes in Multilayer Inhomogeneous Random Graphs
Daniel Cirkovic, Tiandong Wang, Daren B. H. Cline
In this paper, we propose a multilayer inhomogeneous random graph model (MIRG), whose layers may consist of both single-edge and multi-edge graphs. In the single layer case, it has…
Modeling Random Networks with Heterogeneous Reciprocity
Daniel Cirkovic, Tiandong Wang
Reciprocity, or the tendency of individuals to mirror behavior, is a key measure that describes information exchange in a social network. Users in social networks tend to engage in…
Likelihood-based Inference for Random Networks with Changepoints
Daniel Cirkovic, Tiandong Wang, Xianyang Zhang
Generative, temporal network models play an important role in analyzing the dependence structure and evolution patterns of complex networks. Due to the complicated nature of real n…
Preferential Attachment with Reciprocity: Properties and Estimation
Daniel Cirkovic, Tiandong Wang, Sidney Resnick
Reciprocity in social networks helps understand information exchange between two individuals, and indicates interaction patterns between pairs of users. A recent study indicates th…