Social Network Measures using Matrices R package netmem version 1.1-0 Provides measures to describe and manipulate one-mode, two-mode, multiplex, and multilevel networks using matrix algebra. Implements functions for network centrality, cohesive subgroups, communities, structural holes, roles and positions, similarity measures, path distances, signed networks, segregation, social influence, and random network generation. Supports ego-centric and whole-network analyses, including dyadic and triadic censuses, structural balance, bipartite projections, measures with overlapping group memberships, Q-analysis, neighbourhood-inclusion dominance, main path analysis of citation networks, and permutation tests for networks. Key references: Bonacich (1972) <doi:10.1080/0022250X.1972.9989806>, Breiger (1974) <doi:10.2307/2576011>, Kivela et al. (2014) <doi:10.1093/comnet/cnu016>, Espinosa-Rada et al. (2024) <doi:10.1016/j.socnet.2023.11.008>, Schoch and Brandes (2016) <doi:10.1017/S0956792516000401>, Traag et al. (2019) <doi:10.1038/s41598-019-41695-z>, Everett and Borgatti (2026) <doi:10.1016/j.socnet.2025.12.001>. Software Depends: R (>= 4.0.0) Imports: Matrix, stats Suggests: igraph, knitr, rmarkdown, covr, testthat, usethis, styler Alejandro Espinosa-Rada <anespinosa@uc.cl> Comprehensive R Archive Network (CRAN) Alejandro Espinosa-Rada [cre, aut] (ORCID: <https://orcid.org/0000-0003-4177-1912>) GPL-3 2026-09-24 application/tgz https://CRAN.R-project.org/package=netmem doi:10.32614/CRAN.package.netmem en-US