45 citations · 82 across the 10 of their papers we have counts for
11 papers
Improving exponential-family random graph models for bipartite networks
Alex Stivala, Peng Wang, Alessandro Lomi
Bipartite graphs, representing two-mode networks, arise in many research fields. These networks have two disjoint node sets representing distinct entity types, for example persons…
ALAAMEE: Open-source software for fitting autologistic actor attribute models
Alex Stivala, Peng Wang, Alessandro Lomi
The autologistic actor attribute model (ALAAM) is a model for social influence, derived from the more widely known exponential-family random graph model (ERGM). ALAAMs can be used…
New network models facilitate analysis of biological networks
Alex Stivala
Exponential-family random graph models (ERGMs) are a family of network models originating in social network analysis, which have also been applied to biological networks. Advances…
Overcoming near-degeneracy in the autologistic actor attribute model
Alex Stivala
The autologistic actor attribute model, or ALAAM, is the social influence counterpart of the better-known exponential-family random graph model (ERGM) for social selection. Extensi…
Geodesic cycle length distributions in fictional character networks
Alex Stivala
A geodesic cycle in a graph is a cycle with no shortcuts, so that the shortest path between any two nodes in the cycle is the path along the cycle itself. A recently published pape…
Selecting and scheduling an optimal subset of road network upgrades
A. D. Stivala, P. J. Stuckey, M. G. Wallace
We consider the problem of choosing a subset of proposed road network upgrades to implement within a fixed budget in order to optimize the benefit in terms of vehicle hours travell…