Automate NodeXL Pro > Automate your X (formerly Twitter) social media network analysis!
You can easily learn how to automate NodeXL Pro with “Data Recipes” a.k.a. “NodeXL Options Files” which enable users to perform a full social network and content analysis along with a network visualization with just a few clicks. The key is Task Automation.
The following NodeXL Pro “data recipes” are designed to analyze X (formerly X) network data with just a few clicks. The files contain best practice settings. You can use these as suggestions and easily customize them to your own specifications and save them for future use.
To download the NodeXL Pro Recipe Bundle and learn more about Task Automation follow the link below.
X User Network 01 – small
This recipe is designed for networks imported with all NodeXL Pro X Data importers with a size of up to 1000 vertices. All relevant steps to conduct a full-scale social network analysis are performed. The graph shows an image and a label for every user in the network. This recipe works for NodeXL Pro INSIGHTS.
Vertex: X User
Edges: Mentions, retweets, replies, quotes
Vertex size: Betweenness centrality
Group clustering algorithm: Clauset-Newman-Moore
Group labels: Top 10 most frequently used hashtags
Content analysis: Top words/word pairs/URLs/domains/hashtags
Time series analysis: Yes
Sentiment language: English
Layout: Harel-Koren Fast Multiscale, Group-in-a-Box, Treemap
X User Network 02 – medium
This recipe is designed for Twitter networks of up to 10,000 vertices and is very similar to the standard recipe shown above. All relevant steps to conduct a full-scale social network analysis are performed. The main difference to the “small” recipe is Vertex sizing by In-Degree, and a label is shown only for users with an In-Degree larger than 5. This recipe works for NodeXL Pro INSIGHTS.
Vertex: X User
Edges: Mentions, retweets, replies, quotes
Vertex size: In-Degree
Group clustering algorithm: Clauset-Newman-Moore
Group labels: Top 10 most frequently used hashtags
Content analysis: Top words/word pairs/URLs/domains/hashtags
Time series analysis: Yes
Sentiment language: English
Layout: Harel-Koren Fast Multiscale, Group-in-a-Box, Treemap
X User Network 03 – large
This recipe is designed for Twitter networks larger than 10,000 vertices and is very similar to both recipes shown above. All relevant steps to conduct a full-scale social network analysis are performed. Vertices are sized by In-Degree, an image and a label is shown only for users with an Indegree larger than 5. When working with very large networks, this will speed up the visualization time because not all user profile images are collected and rendered. This recipe DOES NOT work for NodeXL Pro INSIGHTS.
Vertex: X User
Edges: Mentions, retweets, replies, quotes
Vertex size: In-Degree
Group clustering algorithm: Clauset-Newman-Moore
Group labels: Top 10 most frequently used hashtags
Content analysis: Top words/word pairs/URLs/domains/hashtags
Time series analysis: Yes
Sentiment language: English
Layout: Harel-Koren Fast Multiscale, Group-in-a-Box, Treemap
X Twitter User Network 04 – alternative layout
This recipe is designed for any X network and is very similar to both recipes shown above. All relevant steps to conduct a full-scale social network analysis are performed. Vertices are sized by In-Degree, an image and a label is shown only for users with an Indegree larger than 5. The force-directed Group-in-a-Box Grid Layout is used here to simply give you one idea about the diverse visualization options in NodeXL.
Vertex: X User
Edge: Mentions, retweets, replies, quotes
Vertex size: In-Degree
Group clustering algorithm: Clauset-Newman-Moore
Group labels: Top 10 most frequently used hashtags
Content analysis: Top words/word pairs/URLs/domains/hashtags
Time series analysis: Yes
Sentiment language: English
Layout: Grid layout, Group-in-a-Box, force-directed
