Mining and analyzing social media facebook w gephi - hicss47 tutorial - dave king
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Transcript of Mining and analyzing social media facebook w gephi - hicss47 tutorial - dave king
![Page 1: Mining and analyzing social media facebook w gephi - hicss47 tutorial - dave king](https://reader034.fdocuments.us/reader034/viewer/2022052619/5550b66fb4c905fa618b4b2a/html5/thumbnails/1.jpg)
Step 1A: .GDF File Opening
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Step 1B: Change Type to Undirected
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Step 1C: Open File (“OK”)
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Step 1D: Random Layout of Network
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Step 1E: Clicked “Center on Graph” button
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Step 2A: Review Nodes in “Data Laboratory”
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Step 2B: Review Edges in Data Laboratory
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Step 3A: Select a “Layout” to improve the visualized graph structure
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Step 3B: Run “Force Atlas” layout procedure setting “Repulsion strength” to 2000
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Step 3C: “Stop” layout procedure
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Step 3D: … producing a new, more easily understood version of the graph
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Step 3E: Click “T” to display node labels
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Step 3F: Select “Label Adjust” from Layout(s)To adjust label overlap
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Step 4A: Click “Partition” in order to linknode colors to various attributes
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Step 4B: Click “Refresh” button toAccess “partition parameter(s)”
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Step 4C: Selected “age” parameterfrom dropdown list
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Step 4B: … then clicked “Apply” to color nodes based on “age” group membership
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Step 4E: … then clicked “T” to turn off the labels in order to better inspect age distribution
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Step 4F: Followed same procedure toDisplay “sex” distribution
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Step 4G: … and finally the “group” membershipdistribution to better understand the Friendship structure
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Step 5A: In analyzing various statistics for an Egocentric network, “Ego” is usually deleted from node set
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Step 5B: Ego has been eliminated, providing a clearer look at the various subnetworks occupied by Ego’s Alters
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Step 5C: As a second step in the analysis, we click on the “Ranking” tab to access
various numerical parameters
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Step 5D: In this analysis we are going to modify the “size” (“diamond” icon) of the nodes to reflect
the various statistics of interests
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Step 5E: At the moment, the only metric that has been calculated is “Degree”
which we select and “Apply”
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Step 5F: To calculate other statistics we simply click the “Run” button next to the statistic name on the right
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Step 5G: For many of these statistical runs,dialog boxes appear describing the
statistics being calculated
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Step 5H: The descriptions are usually followeda report of the associated statistical results
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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]
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Step 6A: Once a statistic has been run, the name of the associated ranking will also
appear in the drop down selection list
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Step 6B: In this case we are going to select “Betweenness Centrality” for determining the size of
the nodes in the visual display
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Step 6C: This is the result of that selection.
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Step 6D: Now we click on “T” to add back the labels
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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”
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Step 7B: This is the Previewed display
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Step 7C. Finally, we return to the Node table in the Data Laboratory and select “Export table”
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Step 7D: This produces a dialog box for selecting the attributes we want to
export. By default it’s all.
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Step 7E: This is the final result which can be used for further analysis.