A few nice keyword research tool free images I found:

20110429-NodeXL-Twitter-aljeazeera keyword network graph weighted edges group regions


Image by Marc_Smith
From: www.connectedaction.net

Connections among the words used by Twitter users who recently tweeted the word aljezeera
when queried on April 29, 2011, scaled by betweenness centrality. Connections created when a word precedes a neighboring word.

Layout using the "Group Layout" composed of tiled bounded regions. Clusters calculated by the Clauset-Newman-Moore algorithm are also encoded by color.

A larger version of the network map is here:

Top most between words:
#aljazeera
#bahrain
#syria
@ajarabic
via
crossing
border
#sanaa
aljazeera
#daraa

Graph Metric: Value
Graph Type: Undirected
Vertices: 313
Unique Edges: 264
Edges With Duplicates: 12
Total Edges: 276
Self-Loops: 0
Connected Components: 67
Single-Vertex Connected Components: 0
Maximum Vertices in a Connected Component: 112
Maximum Edges in a Connected Component: 138
Maximum Geodesic Distance (Diameter): 13
Average Geodesic Distance: 5.412669
Graph Density: 0.005529614
NodeXL Version: 1.0.1.166

NodeXL is free and open and available from www.codeplex.com/nodexl

NodeXL is developed by the Social Media Research Foundation (www.smrfoundation.org) – which is dedicated to open tools, open data, and open scholarship.

The book, Analyzing social media networks with NodeXL: Insights from a connected world, is available from Morgan Kaufmann and from Amazon.

Marc Smith on Twitter.

20110430-NodeXL-Twitter-tcamp11 keyword network


Image by Marc_Smith
From: www.connectedaction.net

Connections among the words in Tweets created by Twitter users who recently tweeted the word tcamp11
when queried on April 30, 2011, scaled by betweenness centrality. (see: en.wikipedia.org/wiki/Centrality). Connections created when one word precedes another.

Layout using the "Group Layout" composed of tiled bounded regions. Clusters calculated by the Clauset-Newman-Moore algorithm are also encoded by color.

A larger version of the network map is here: www.flickr.com/photos/marc_smith/5673437423/sizes/o/in/ph…

A detailed list of top most between users is here: www.flickr.com/photos/marc_smith/5673437087

Top most between users:
@blufftoniancom
@digiphile
@sunfoundation
@mlsif
@ellnmllr
@dominiccampbell
@tcampdc
@johnfmoore
@johnwonderlich
@elle_mccann

Graph Metric: Value
Graph Type: Directed
Vertices: 359
Unique Edges: 4595
Edges With Duplicates: 384
Total Edges: 4979
Self-Loops: 0
Connected Components: 2
Single-Vertex Connected Components: 1
Maximum Vertices in a Connected Component: 358
Maximum Edges in a Connected Component: 4979
Maximum Geodesic Distance (Diameter): 4
Average Geodesic Distance: 2.120002
Graph Density: 0.037176515
NodeXL Version: 1.0.1.166

NodeXL is free and open and available from www.codeplex.com/nodexl

NodeXL is developed by the Social Media Research Foundation (www.smrfoundation.org) – which is dedicated to open tools, open data, and open scholarship.

The book, Analyzing social media networks with NodeXL: Insights from a connected world, is available from Morgan Kaufmann and from Amazon.

Marc Smith on Twitter.

Tags: Maximum Vertices, betweenness centrality, larger version, neighboring word, connected component, Graph Metric