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https://hdl.handle.net/10356/40765
Title: | Diary-style data analysis for better understanding social networks in Singapore | Authors: | Wu, Fei. | Keywords: | DRNTU::Engineering | Issue Date: | 2010 | Abstract: | This report records a set of statistical diary-style data analysis for better understanding social networks in Singapore. The contact data was first obtained from surveys conducted in Singapore. Each survey focused on specific methodologica l questions related to the number of contacts encountered during 2 weekdays and 1 weekend or 2 weekends and 1 weekday. Subsequently, data category and tabulation were done with respect to the different ages, genders, contact types and days. Finally, the statistical computing and graphics were analyzed and investigated using R program. The analysis suggests that genders make no significant differences to the total contact numbers. It is evident from the findings that the contact patterns occurring over the different weekdays had a significant impact on the components of analyses. The observed pattern of social contacts reveals a strong preference for contacting other persons of similar age. | URI: | http://hdl.handle.net/10356/40765 | Schools: | School of Electrical and Electronic Engineering | Organisations: | A*STAR Institute of High Performance Computing | Rights: | Nanyang Technological University | Fulltext Permission: | restricted | Fulltext Availability: | With Fulltext |
Appears in Collections: | EEE Student Reports (FYP/IA/PA/PI) |
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File | Description | Size | Format | |
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EA5169-091.pdf Restricted Access | 1.43 MB | Adobe PDF | View/Open |
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