Visualize your Twitter network

  • 17,845 views
Uploaded on

Hands on guide to a quick visualization of a Twitter hashtag network.

Hands on guide to a quick visualization of a Twitter hashtag network.

  • Full Name Full Name Comment goes here.
    Are you sure you want to
    Your message goes here
  • @VictorVillalobos5 Hello Victor. NodeXL seems to have trouble with windows 8 + office 2013 combination: http://nodexl.codeplex.com/discussions/430243
    http://nodexl.codeplex.com/workitem/22346

    I can't find further instructions on how to mend this, sorry.

    I'm running it on win 7 + office 2010.
    Are you sure you want to
    Your message goes here
  • need help i have windows 8 and the excel program is a bit different can load twitter
    Are you sure you want to
    Your message goes here
  • I have windows 8 and the new excel it wont let me update or add imports help me out
    Are you sure you want to
    Your message goes here
  • Muy bueno el tutorial. Gracias
    Are you sure you want to
    Your message goes here
  • Thanks, pretty useful.
    Are you sure you want to
    Your message goes here
No Downloads

Views

Total Views
17,845
On Slideshare
0
From Embeds
0
Number of Embeds
56

Actions

Shares
Downloads
1
Comments
6
Likes
62

Embeds 0

No embeds

Report content

Flagged as inappropriate Flag as inappropriate
Flag as inappropriate

Select your reason for flagging this presentation as inappropriate.

Cancel
    No notes for slide

Transcript

  • 1. Simple Twitter network analysis using NodeXL and Gephi Olli Parviainen Verkostoanatomia 050 380 6739 www.verkostoanatomia.fi [email_address]
  • 2. Olli Parviainen Verkostoanatomia twitter: jattipaa blog: verkostoanatomia.wordpress.com www.verkostoanatomia.fi [email_address]
  • 3. First things first
    • This presentation is an example on how to create your first Twitter network analysis. I don’t go deep in the network analysis side: using this you can create a basic visualization of a search term network.
    • First, load gephi (http://gephi.org/) from http://gephi.org/users/download/ Gephi is used to visualize, manipulate and analyze networks. It's a very powerful (and cool tool) that has a active developing community.
    • Then, download NodeXL (http://nodexl.codeplex.com/). "NodeXL is a free, open-source template for Excel 2007 and 2010 that lets you enter a network edge list, click a button, and see the network graph, all in the Excel window."
    • In short, NodeXL uses your Office 2007 to pretty much the same things as Gephi does but with Excel. We will use NodeXL to import data from Twitter. The reason why I use Gephi is the efficiency and for the more visually appeasing graphs it produces. Feel free to NodeXL, it's also a excellent tool.
  • 4. Importing tweets 1/3
    • Open NodeXL and choose NodeXL from the ribbon
    • Select import – From Twitter Search Network
    • Feel free to try the other search types. They are slower (can take hours depending on the network size) and using Twitter during the sweep can cancel your run
  • 5. Importing tweets 2/3
    • Now we can choose a keyword. The keyword can be a word or a hashtag and you can use Twitter’s search operators finding it
  • 6. Importing tweets 3/3
    • Choose your keyword and check all but the ”Follows relationship” (slows things down) in the ”Add an edge for each ” boxes
    • Uncheck the ”Limit to ” box (unless you checked the ”Follows relationship”, it might be handy)
    Note: I recommed also checking the ”I have authorized NodeXL – ” box. It speeds things up and I have never had any problems with it
  • 7. Exporting tweets
    • NodeXL has graph visualization properties but I let you explore them yourself
    • Choose ”Export to GraphML file...” and click yes on the dialog box
    • Open your Gephi (and update it from Tools -> Plugins -> Updates | Available plugins)
  • 8. Using Gephi – quick overview
    • In Gephi you have basically 3 different tabs to analyze and manipulate your graphs
    • In ”Overview” you can manipulate and analyze the graph
    • In ”Data laboratory” you can sort and review your data
    • In ”Preview” you can fine tune your visualization
  • 9. Using Gephi – importing networks
    • Select File –> Open -> file.graphml
    • The network is directed meaning that the direction of the mention, RT etc. matters. Facebook friend-relationship is an example of an undirected network
    • The boxes that should be unchecked are: Append graph* and Time frame**
    * If you want to join networks together, use this one ** Creates a dynamic network, example: http://bit.ly/kGoyMP
  • 10. Using Gephi – arranging your nodes
    • Select Layout tab on the Overview mode and click on the Force Atlas –layout
    • Set Repulsion at 20000, Attraction strength at 50, Maximum displacement 1, Uncheck Autostabilize function, set Gravity at 80, Check Adjust by sizes and set Speed at 5
    * These settings provide a nice arrangement when using 10-1000 node networks. Feel free to try out different options
  • 11. Using Gephi – filtering data 1/2
    • To speed things up (the previous settings might take a while to run) let’s filter out those nodes that didn’t mention anyone ore didn’t receive mentions or RT’s
    • Click Average degree is the Statistics tab (it counts the amount of mentions given/ recieved)
    • We will use this information to choose who to filter out
  • 12. Using Gephi – filtering data 2/2
    • Choose the Filters tab
    • Click Attributes – Range and drag the Degree text to the Queries window below
    • Use the slider to remove all of those without any connections: set degree range to start with 1
    • Now use the Force Atlas again
  • 13. Using Gephi – visualizing your data: communities
    • After the nodes have settled it’s time to make sense of it all
    • To detect communities, hit the modularity Statistics button
    • Then choose Nodes on the Partition tab and hit refresh
    • Choose Modularity class and assign color to the different communities
  • 14. Using Gephi – visualizing your data: nodes
    • Choose nodes on the Ranking tab and select Indegree
    • We want to change the size of the nodes so select the diamond shape in the highlighted area
    • Set Min Size to 5 and Max Size to 100 and hit Apply
    • The size of the node now represents the amount of mentions
    • Outdegree would represent the times the Twitter user mentioned others
    Add excel to the fun: rank and export the nodes in Data laboratory: who is the most active tweeter etc.
  • 15. Using Gephi – visualizing your data: labels
    • Make the node labels visible from the ”T”-symbol
    • We want to make the label size to match the node size so choose Node size from the black ”A” symbol
    • To prevent the nodes from overlapping choose Label adjust from the Layout tab
    • You can drag the nodes with the Hand symbol
  • 16. Using Gephi – final touches
    • Select the Preview window
    • In the Node subsection in the Preview settings -tab check the Show labels box
    • Export to PDF from bottom left corner
    • In the export window choose Options and change the Orientation to Landscape
    • Add an inch to the left and right Margin to prevent cutting out longer labels
    You can also take a screenshot in the Overview window using the Camera symbol
  • 17. Last step: impress your friends, co-workers and relatives
  • 18. Olli Parviainen Verkostoanatomia twitter: jattipaa blog: verkostoanatomia.wordpress.com www.verkostoanatomia.fi [email_address]