Measuring food insecurity: An introduction to tools for human biologists and ecologists

BA Piperata, SA Scaggs, DL Dufour… - American Journal of …, 2023 - Wiley Online Library
Objective Food insecurity is a significant and growing concern undermining the wellbeing of
30% of the global population. Food in/security is a complex construct consisting of four …

Relational event modeling

F Bianchi, E Filippi-Mazzola, A Lomi… - Annual Review of …, 2024 - annualreviews.org
Advances in information technology have increased the availability of time-stamped
relational data, such as those produced by email exchanges or interaction through social …

ergm 4: New features

PN Krivitsky, DR Hunter, M Morris, C Klumb - arXiv preprint arXiv …, 2021 - arxiv.org
The ergm package supports the statistical analysis and simulation of network data. It
anchors the statnet suite of packages for network analysis in R introduced in a special issue …

Exploration-Exploitation Paradigm for Networked Biological Systems

V Dichio, F de Vico Fallani - Physical Review Letters, 2024 - APS
The stochastic exploration of the configuration space and the exploitation of functional states
underlie many biological processes. The evolutionary dynamics stands out as a remarkable …

Additive and multiplicative effects network models

P Hoff - 2021 - projecteuclid.org
Network datasets typically exhibit certain types of statistical patterns, such as within-dyad
correlation, degree heterogeneity, and triadic patterns such as transitivity and clustering. The …

BCG vaccination reduces bovine tuberculosis transmission, improving prospects for elimination

A Fromsa, K Willgert, S Srinivasan, G Mekonnen… - Science, 2024 - science.org
Bacillus Calmette-Guérin (BCG) is a routinely used vaccine for protecting children against
Mycobacterium tuberculosis that comprises attenuated Mycobacterium bovis. BCG can also …

Network formation in organizational settings: Exploring the importance of local social processes and team-level contextual variables in small groups using bayesian …

F Agneessens, FJ Trincado-Munoz, J Koskinen - Social Networks, 2022 - Elsevier
Statistical models for social networks, such as exponential random graphs (ERGMs), have
increasingly been used by organizational scholars to study the social interactions inside …

Exponential random graph model parameter estimation for very large directed networks

A Stivala, G Robins, A Lomi - PloS one, 2020 - journals.plos.org
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 …

Micro Effects on Macro Structure in Social Networks

SW Duxbury - Sociological Methodology, 2024 - journals.sagepub.com
How do individuals' network selection decisions create unique network structures? Despite
broad sociological interest in the micro-level social interactions that create macro-level …

Statistical models of complex brain networks: a maximum entropy approach

V Dichio, FDV Fallani - Reports on progress in physics, 2023 - iopscience.iop.org
The brain is a highly complex system. Most of such complexity stems from the intermingled
connections between its parts, which give rise to rich dynamics and to the emergence of …