Automate NodeXL Pro > Automate your Twitter social media network analysis!

The following NodeXL “data recipes” can help you analyze Twitter network data with just a few clicks.  The NodeXL Twitter network data recipe contains everything you need to quickly get insights into a hashtag, topic, username, or URL search.  These files contain all the options settings needed to automate the tasks required to create a full-scale social network and content analysis for Twitter network data.

You can easily customize these data recipes to your own needs and save them or share them for future use.

Network type: directed
Count duplicate edges: yes
Vertex (label/image): User (user name/user profile image)
Vertex size: Followers
Vertex network metrics: In-/Out-Degree, Betweenness/Closeness/Eigenvector centralities, Page Rank
Group clustering algorithm: Clauset-Newman-Moore
Group labels: Top 10 most frequently used words
Autofill columns: edges/vertices/groups coloring and sizing
Content analysis: Top words/word pairs/URLs/Domains/Hashtags
Sentiment language: English
Time series: edge creation by day
Layout algorithm: Harel-Koren Fast Multiscale
Box layout algorithm: Group-in-a-Box, Treemap

Network type: directed
Count duplicate edges: yes
Vertex (label/image): User (user name/user profile image)
Vertex size: Followers
Vertex network metrics: In-/Out-Degree, Betweenness/Closeness/Eigenvector centralities, Page Rank
Group clustering algorithm: Clauset-Newman-Moore
Group labels: Top 10 most frequently used words
Autofill columns: edges/vertices/groups coloring and sizing
Content analysis: Top words/word pairs/URLs/Domains/Hashtags
Sentiment language: English
Time series: edge creation by day
Layout algorithm: Harel-Koren Fast Multiscale
Box layout algorithm: Group-in-a-Box, force-directed