Compression-based inference of network motif sets
A Bénichou, JB Masson… - PLoS Computational …, 2024 - journals.plos.org
Physical and functional constraints on biological networks lead to complex topological
patterns across multiple scales in their organization. A particular type of higher-order …
patterns across multiple scales in their organization. A particular type of higher-order …
Cognition of feedback loops in a fire-prone social-ecological system
Increasing wildfire severity highlights the need for large-scale shifts in management of fire-
prone landscapes. While prior research has focused on cognitive biases, social norms, and …
prone landscapes. While prior research has focused on cognitive biases, social norms, and …
Commodity-specific triads in the Dutch inter-industry production network
Triadic motifs are the smallest building blocks of higher-order interactions in complex
networks and can be detected as over-occurrences with respect to null models with only pair …
networks and can be detected as over-occurrences with respect to null models with only pair …
Overcoming near-degeneracy in the autologistic actor attribute model
A Stivala - arXiv preprint arXiv:2309.07338, 2023 - arxiv.org
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 …
better-known exponential-family random graph model (ERGM) for social selection …
Improving exponential-family random graph models for bipartite networks
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 …
networks have two disjoint node sets representing distinct entity types, for example persons …
New network models facilitate analysis of biological networks
A Stivala - arXiv preprint arXiv:2312.06047, 2023 - arxiv.org
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 …
originating in social network analysis, which have also been applied to biological networks …
Hierarchical Bayesian adaptive lasso methods on exponential random graph models
The analysis of network data has become an increasingly prominent and demanding field
across multiple research fields including data science, health, and social sciences, requiring …
across multiple research fields including data science, health, and social sciences, requiring …
Network Subgraph-based Method: Alignment-free Technique for Molecular Network Analysis
Background: Comparing directed networks using the alignment-free technique offers the
advantage of detecting topologically similar regions that are independent of the network size …
advantage of detecting topologically similar regions that are independent of the network size …
Model selection for network data based on spectral information
JIP Hidalgo, JR Stewart - arXiv preprint arXiv:2301.02871, 2023 - arxiv.org
We introduce a new methodology for model selection in the context of modeling network
data. The statistical network analysis literature has developed many different classes of …
data. The statistical network analysis literature has developed many different classes of …
Gravity Models of Networks
M Di Vece - 2024 - e-theses.imtlucca.it
Trade networks are mathematical representations of the ex-changes established by
countries, industries, firms or individ-uals. The present thesis collects works aimed at …
countries, industries, firms or individ-uals. The present thesis collects works aimed at …