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…
Using Sampled Network Data With The Autologistic Actor Attribute Model
Alex D. Stivala, H. Colin Gallagher, David A. Rolls +2
Social science research increasingly benefits from statistical methods for understanding the structured nature of social life, including for social network data. However, the appli…
Testing biological network motif significance with exponential random graph models
Alex Stivala, Alessandro Lomi
Analysis of the structure of biological networks often uses statistical tests to establish the over-representation of motifs, which are thought to be important building blocks of s…
Exponential random graph model parameter estimation for very large directed networks
Alex Stivala, Garry Robins, Alessandro Lomi
Exponential random graph models (ERGMs) are widely used for modeling social networks observed at one point in time. However the computational difficulty of ERGM parameter estimatio…
Fast Maximum Likelihood estimation via Equilibrium Expectation for Large Network Data
Maksym Byshkin, Alex Stivala, Antonietta Mira +2
A major line of contemporary research on complex networks is based on the development of statistical models that specify the local motifs associated with macro-structural propertie…
Another phase transition in the Axelrod model
Alex Stivala, Paul Keeler
Axelrod's model of cultural dissemination, despite its apparent simplicity, demonstrates complex behavior that has been of much interest in statistical physics. Despite the many va…