Automate NodeXL Pro > Automate your YouTube network analysis!
The following NodeXL Pro “data recipes” are designed to analyze YouTube User and Video network data with just a few clicks. These files contain all options settings needed to automate the tasks required to create a full-scale social network and content analysis.
You can easily customize these data recipes to your own needs and save them for future use. You can learn how to automate NodeXL Pro by reading this page, looking at this tutorial and/or watching this video.
Download the official NodeXL Pro recipe bundle below, then unzip and save the folder to your machine.
YouTube User Network 01 – standard
This recipe is designed for network data imported with the YouTube User Network importer. All relevant steps to conduct a full-scale social network analysis are performed. Content analysis is run on the Comment column. The graph shows an image and a label for every user in the network.
Vertex: YouTube User
Edge: Comment to video, reply to comment
Vertex size: Betweenness centrality
Group clustering algorithm: Clauset-Newman-Moore
Group labels: Top 10 most frequently used words
Comment analysis: Top words/word pairs/URLs/domains/hashtags
Time series analysis: Yes
Sentiment language: English
Layout algorithm: Harel-Koren Fast Multiscale
Box layout algorithm: Group-in-a-Box, Treemap
YouTube User Network 02 – alternative layout
This recipe is designed for network data imported with the YouTube User Network importer. It works similar to the above recipe but uses a slightly different layout: The graph shows only an image and a label for every user in the network with an Indegree larger 5. Also, the group-in-a-box layout has been set to force-directed.
Vertex: YouTube User
Edge: Comment to video, reply to comment
Vertex size: Indegree
Group clustering algorithm: Clauset-Newman-Moore
Group labels: Top 10 most frequently used words
Comment analysis: Top words/word pairs/URLs/domains/hashtags
Time Series Analysis: Yes
Sentiment language: English
Layout algorithm: Harel-Koren Fast Multiscale
Box layout algorithm: Group-in-a-Box, force-directed
YouTube Video Network 01 – description
This recipe is designed for network data imported with the YouTube Video Network importer. All relevant steps to conduct a full-scale social network analysis are performed. Content analysis is run on the Video Description column. The graph shows an image for every video in the network.
Vertex: Video
Edge: Video recommendation
Vertex size: Betweenness centrality
Group clustering algorithm: Clauset-Newman-Moore
Group labels: Top 10 most frequently used words
Description analysis: Top words/word pairs
Layout algorithm: Harel-Koren Fast Multiscale
Box layout algorithm: Group-in-a-Box, Treemap
YouTube Video Network 02 – tag
This recipe is designed for network data imported with the YouTube Video Network importer. All relevant steps to conduct a full-scale social network analysis are performed. Content analysis is run on the Video Tag column. The graph shows an image for every video in the network. Purple coloring shows a recommending video, while green coloring reflects recommended videos.
Vertex: Video
Edge: Video recommendation
Vertex size: Indegree
Group clustering algorithm: Clauset-Newman-Moore
Group labels: Top 10 most frequently used video tags
Video tag analysis: Top video tags / tag pairs
Box layout algorithm: Group-in-a-Box, Treemap, Grid