diff --git a/DESCRIPTION b/DESCRIPTION
index b802b39f..13741adf 100644
--- a/DESCRIPTION
+++ b/DESCRIPTION
@@ -1,6 +1,6 @@
 Package: migraph
 Title: Inferential Methods for Multimodal and Other Networks 
-Version: 1.7.0
+Version: 1.7.1
 Description: A set of tools for testing networks.
    It includes functions for univariate and multivariate conditional uniform graph 
    and quadratic assignment procedure testing, and network regression.
@@ -20,7 +20,7 @@ Depends:
     R (>= 4.1.0),
     manynet (>= 2.3.1),
     autograph (>= 1.2.2),
-    netrics (>= 0.4.0)
+    netrics (>= 1.0.1)
 Imports: 
     dplyr (>= 1.1.0),
     ergm,
diff --git a/NEWS.md b/NEWS.md
index a099832c..194db4f3 100644
--- a/NEWS.md
+++ b/NEWS.md
@@ -1,3 +1,13 @@
+# migraph 1.7.1
+
+## Package
+
+- Raised the minimum required version of `{netrics}` to 1.0.1
+
+## Tutorials
+
+- Updated intro tutorial
+
 # migraph 1.7.0
 
 ## Package
diff --git a/inst/tutorials/tutorial0/tutorial0.Rmd b/inst/tutorials/tutorial0/tutorial0.Rmd
index e66572a5..f63f67a5 100644
--- a/inst/tutorials/tutorial0/tutorial0.Rmd
+++ b/inst/tutorials/tutorial0/tutorial0.Rmd
@@ -67,7 +67,7 @@ such as in the [stocnet](https://github.com/stocnet) group of packages...
 
 ### What is RStudio?
 
-<img src="https://www.rstudio.com/wp-content/uploads/2018/10/RStudio-Logo-Flat.png" alt="RStudio logo" height="250" class="center"/>
+<img src="https://cloud.rstudio.com/wp-content/uploads/2018/10/RStudio-Logo.png" alt="RStudio logo" height="200" class="center"/>
 
 [RStudio](https://posit.co/products/open-source/rstudio/) is an integrated development environment (IDE) for R and Python,
 enabling researchers to interact with R (and/or Python) through a fully-functional editor
@@ -414,10 +414,10 @@ You can follow my example below (copy to a new script and uncomment):
 ```{r egonet-eg, exercise = TRUE}
 mynetwork <- matrix(0,2,2) # this creates an empty network of 2 people
 # Next I'm going to name the matrix rows and columns:
-rownames(mynetwork) <- c("James Hollway","Korakot Janteerasakul")
-colnames(mynetwork) <- c("James Hollway","Korakot Janteerasakul")
-mynetwork[1,2] <- 1 # this means I know Korakot already
-mynetwork[2,1] <- 1 # I think I can say Korakot knows me already too...
-mynetwork["James Hollway","Korakot Janteerasakul"] <- 1 # I could also do this by name
+rownames(mynetwork) <- c("James Hollway","Tommaso Fonti")
+colnames(mynetwork) <- c("James Hollway","Tommaso Fonti")
+mynetwork[1,2] <- 1 # this means I know Tommaso already
+mynetwork[2,1] <- 1 # I think I can say Tommaso knows me already too...
+mynetwork["James Hollway","Tommaso Fonti"] <- 1 # I could also do this by name
 # mynetwork[mynetwork > 0] <- 0 # Just in case you make a mistake, this wipes it!
 ```