Abstract Details
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Activity Number:
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238
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Type:
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Topic Contributed
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Date/Time:
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Monday, August 5, 2013 : 2:00 PM to 3:50 PM
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Sponsor:
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Section on Statistical Graphics
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| Abstract - #309926 |
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Title:
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Clicks and Cliques: What Makes a Community Work (Data Expo '13)
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Author(s):
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Dianne H. Cook*+ and Natalia Da Silva and Ignacio Alvarez-Castro
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Companies:
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Iowa State University and Iowa State University and Iowa State University
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Keywords:
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graphics ;
ggplot2 ;
linked plots ;
exploratory data analysis ;
classification ;
random forests
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Abstract:
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The main objective of this project is understand what attaches people to their community and how this attachment differs among communities. How different are attached people from unattached? What attaches people to their community? How different are the communities? What are key drivers behind emotional attachment? To address these questions we use supervised and unsupervised learning tools. We construct clusters to characterize people in the sample and link those clusters with the different attachment levels. Additionally we use a random forest to identify the most important variables within a community level to classify community attachment.
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Authors who are presenting talks have a * after their name.
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