Successfully reported this slideshow.
We use your LinkedIn profile and activity data to personalize ads and to show you more relevant ads. You can change your ad preferences anytime.

Mining and analyzing social media facebook w gephi - hicss47 tutorial - dave king

577 views

Published on

Example program run for HICSS 47 Tutorial on Mining and Analyzing Social Media

Published in: Social Media, Technology, Business
  • Be the first to comment

  • Be the first to like this

Mining and analyzing social media facebook w gephi - hicss47 tutorial - dave king

  1. 1. Step 1A: .GDF File Opening
  2. 2. Step 1B: Change Type to Undirected
  3. 3. Step 1C: Open File (“OK”)
  4. 4. Step 1D: Random Layout of Network
  5. 5. Step 1E: Clicked “Center on Graph” button
  6. 6. Step 2A: Review Nodes in “Data Laboratory”
  7. 7. Step 2B: Review Edges in Data Laboratory
  8. 8. Step 3A: Select a “Layout” to improve the visualized graph structure
  9. 9. Step 3B: Run “Force Atlas” layout procedure setting “Repulsion strength” to 2000
  10. 10. Step 3C: “Stop” layout procedure
  11. 11. Step 3D: … producing a new, more easily understood version of the graph
  12. 12. Step 3E: Click “T” to display node labels
  13. 13. Step 3F: Select “Label Adjust” from Layout(s) To adjust label overlap
  14. 14. Step 4A: Click “Partition” in order to link node colors to various attributes
  15. 15. Step 4B: Click “Refresh” button to Access “partition parameter(s)”
  16. 16. Step 4C: Selected “age” parameter from dropdown list
  17. 17. Step 4B: … then clicked “Apply” to color nodes based on “age” group membership
  18. 18. Step 4E: … then clicked “T” to turn off the labels in order to better inspect age distribution
  19. 19. Step 4F: Followed same procedure to Display “sex” distribution
  20. 20. Step 4G: … and finally the “group” membership distribution to better understand the Friendship structure
  21. 21. Step 5A: In analyzing various statistics for an Egocentric network, “Ego” is usually deleted from node set
  22. 22. Step 5B: Ego has been eliminated, providing a clearer look at the various subnetworks occupied by Ego’s Alters
  23. 23. Step 5C: As a second step in the analysis, we click on the “Ranking” tab to access various numerical parameters
  24. 24. Step 5D: In this analysis we are going to modify the “size” (“diamond” icon) of the nodes to reflect the various statistics of interests
  25. 25. Step 5E: At the moment, the only metric that has been calculated is “Degree” which we select and “Apply”
  26. 26. Step 5F: To calculate other statistics we simply click the “Run” button next to the statistic name on the right
  27. 27. Step 5G: For many of these statistical runs, dialog boxes appear describing the statistics being calculated
  28. 28. Step 5H: The descriptions are usually followed a report of the associated statistical results
  29. 29. Step 5I: Behind the scenes the selected statistics are also being added to the Nodes table in the Data Laboratory [note: I ran each of the statistics in the list on the Overview page]
  30. 30. Step 6A: Once a statistic has been run, the name of the associated ranking will also appear in the drop down selection list
  31. 31. Step 6B: In this case we are going to select “Betweenness Centrality” for determining the size of the nodes in the visual display
  32. 32. Step 6C: This is the result of that selection.
  33. 33. Step 6D: Now we click on “T” to add back the labels
  34. 34. Step 7A: Before we finish, we create a stylized rendition of the graph by “Previewing” it. As an initial step to the preview, we click the “Show Labels” box and click “Refresh”
  35. 35. Step 7B: This is the Previewed display
  36. 36. Step 7C. Finally, we return to the Node table in the Data Laboratory and select “Export table”
  37. 37. Step 7D: This produces a dialog box for selecting the attributes we want to export. By default it’s all.
  38. 38. Step 7E: This is the final result which can be used for further analysis.

×