The recent fusion of network science and neuroscience has catalyzed a paradigm shift in
how we study the brain and led to the field of brain network analysis. Brain network analyses …

Abstract Social Network Analysis (SNA) is a modeling technique and analytical approach
well-suited for identifying and examining the structural features of supply networks and the …

To effectively mitigate the spread of communicable diseases, it is necessary to understand
the interactions that enable disease transmission among individuals in a population; we …

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 …

This paper studies change point detection in time series of networks, with the Separable
Temporal Exponential-family Random Graph Model (STERGM). Dynamic network patterns …

This research examines whether categorical closure–an increased tendency for closure in
homogeneous triads–matters for tie formation and tie persistence. We utilized 2019–2020 …

Abstract The Exponential-family Random Graph Model (ERGM) is a powerful model to fit
networks with complex structures. However, for dynamic valued networks whose …

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 …

In this article, we propose using network-based sampling strategies to estimate the number
of unsheltered people experiencing homelessness within a given administrative service unit …

There are two prominent paradigms for the modelling of networks: in the first, referred to as
the mechanistic approach, one specifies a set of domain-specific mechanistic rules that are …