Going beyond accuracy: Estimating homophily in social networks using predictions
In online social networks, it is common to use predictions of node categories to estimate measures of homophily and other relational properties. However, online social network data often lacks basic demographic information about the nodes. Researchers must rely on predicted node attributes to estima...
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| Main Authors: | , , , , |
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| Format: | text |
| Language: | English |
| Published: |
Institutional Knowledge at Singapore Management University
2020
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| Subjects: | |
| Online Access: | https://ink.library.smu.edu.sg/sis_research/6045 https://ink.library.smu.edu.sg/cgi/viewcontent.cgi?article=7048&context=sis_research |
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| Institution: | Singapore Management University |
| Language: | English |