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

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

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