diff --git a/R/undirected_dcsbm.R b/R/undirected_dcsbm.R
index cc5f334..8660aa7 100644
--- a/R/undirected_dcsbm.R
+++ b/R/undirected_dcsbm.R
@@ -126,7 +126,7 @@ validate_undirected_dcsbm <- function(x) {
 #' @param force_identifiability Logical indicating whether or not to
 #'   normalize `theta` such that it sums to one within each block. Defaults
 #'   to `FALSE`, since this behavior can be surprise when `theta` is set
-#'   to a vector of all ones to recover the DC-SBM case.
+#'   to a vector of all ones to recover the SBM case.
 #'
 #' @inheritDotParams undirected_factor_model expected_degree expected_density
 #' @inheritParams undirected_factor_model
diff --git a/man/chung_lu.Rd b/man/chung_lu.Rd
index 8b556bf..50c97f7 100644
--- a/man/chung_lu.Rd
+++ b/man/chung_lu.Rd
@@ -67,7 +67,7 @@ self-loops, and these are then removed after the fact.}
 \item{force_identifiability}{Logical indicating whether or not to
 normalize \code{theta} such that it sums to one within each block. Defaults
 to \code{FALSE}, since this behavior can be surprise when \code{theta} is set
-to a vector of all ones to recover the DC-SBM case.}
+to a vector of all ones to recover the SBM case.}
 }
 \value{
 An \code{undirected_chung_lu} S3 object, a subclass of \code{\link[=dcsbm]{dcsbm()}}.
diff --git a/man/dcsbm.Rd b/man/dcsbm.Rd
index a008418..98d080f 100644
--- a/man/dcsbm.Rd
+++ b/man/dcsbm.Rd
@@ -80,7 +80,7 @@ of the \code{B} matrix are permuted to match the new order of \code{pi}.}
 \item{force_identifiability}{Logical indicating whether or not to
 normalize \code{theta} such that it sums to one within each block. Defaults
 to \code{FALSE}, since this behavior can be surprise when \code{theta} is set
-to a vector of all ones to recover the DC-SBM case.}
+to a vector of all ones to recover the SBM case.}
 
 \item{poisson_edges}{Logical indicating whether or not
 multiple edges are allowed to form between a pair of
diff --git a/man/expected_edges.Rd b/man/expected_edges.Rd
index 7056062..678cd56 100644
--- a/man/expected_edges.Rd
+++ b/man/expected_edges.Rd
@@ -49,7 +49,7 @@ pop <- n / 2
 a <- .1
 b <- .05
 
-B <- matrix(c(a,b,b,a), nrow = 2)
+B <- matrix(c(a, b, b, a), nrow = 2)
 
 b_model <- fastRG::sbm(n = n, k = 2, B = B, poisson_edges = FALSE)
 
@@ -60,7 +60,7 @@ A <- sample_sparse(b_model)
 # compare
 mean(rowSums(triu(A)))
 
-pop * a + pop * b  # analytical average degree
+pop * a + pop * b # analytical average degree
 
 ##### more generic examples