45 citations · 138 across the 12 of their papers we have counts for
13 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…
Application of Langevin Dynamics to Advance the Quantum Natural Gradient Optimization Algorithm
Oleksandr Borysenko, Mykhailo Bratchenko, Ilya Lukin +4
A Quantum Natural Gradient (QNG) algorithm for optimization of variational quantum circuits has been proposed recently. In this study, we employ the Langevin equation with a QNG st…
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…
Relational hyperevent models for the coevolution of coauthoring and citation networks
Jürgen Lerner, Marian-Gabriel Hâncean, Alessandro Lomi
The development of suitable statistical models for the analysis of bibliographic networks has trailed behind the empirical ambitions expressed by recent studies of science of scien…
Relational Event Modeling
Federica Bianchi, Edoardo Filippi-Mazzola, Alessandro Lomi +1
Advances in information technology have increased the availability of time-stamped relational data such as those produced by email exchanges or interaction through social media. Wh…
Relational hyperevent models for polyadic interaction networks
Jürgen Lerner, Alessandro Lomi
Polyadic, or "multicast" social interaction networks arise when one sender addresses multiple receivers simultaneously. Currently available relational event models (REM) are not we…
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…
Reliability of relational event model estimates under sampling: how to fit a relational event model to 360 million dyadic events
Jürgen Lerner, Alessandro Lomi
We assess the reliability of relational event model parameters estimated under two sampling schemes: (1) uniform sampling from the observed events and (2) case-control sampling whi…
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…
A Simple Algorithm for Scalable Monte Carlo Inference
Alexander Borisenko, Maksym Byshkin, Alessandro Lomi
The methods of statistical physics are widely used for modelling complex networks. Building on the recently proposed Equilibrium Expectation approach, we derive a simple and effici…
Beyond Homophily: Incorporating Actor Variables in Actor-oriented Network Models
Tom A. B. Snijders, Alessandro Lomi
We consider the specification of effects of numerical actor attributes in statistical models for directed social networks. A fundamental mechanism is homophily or assortativity, wh…
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…
International Trade: a Reinforced Urn Network Model
Stefano Peluso, Antonietta Mira, Pietro Muliere +1
We propose a unified modelling framework that theoretically justifies the main empirical regularities characterizing the international trade network. Each country is associated to…