Please use this identifier to cite or link to this item: https://hdl.handle.net/10356/45973
Title: Data analysis for understanding social networks in Singapore
Authors: Liauw, Siew Guek.
Keywords: DRNTU::Engineering::Computer science and engineering::Computer applications::Social and behavioral sciences
Issue Date: 2011
Abstract: There is growing theoretical literature on how social networks may affect the spread of directly transmissible infectious diseases. Hence, gaining knowledge of social contact patterns is fundamental to designing effective control strategies for communicable diseases, ranging from a flu pandemic to tuberculosis, to recurrent epidemics. This study aims to understand the role of social networks in shaping disease transmission during a pandemic outbreak in Singapore. The data for this study collected through the use of diary styled survey questionnaires. Each participant had to record his/her social contacts in three different days including one weekday and two weekends or one weekend and two weekdays. Respondents were asked to note down the age, gender of each individual they had a conversation with over the period of three different days and in which social context (such as home, school, work, transportation and others) that conversation took place as well as the duration of each social interaction. The data were organized in a hierarchical fashion, with contacts classified into either physical (skin-to-skin touching) or non-physical (conversational only) contacts based on each age group. The data were entered into text (.txt) or data (.dat) files and statistical analysis was performed using R program. This study found no significant difference in the total number of recorded contacts with regard to the gender of the participants. However, it suggests that people mix substantially more with their own age groups. From the findings, it was evident that the contact patterns observed over the different weekdays had a significant impact on the various characteristics being studied.
URI: http://hdl.handle.net/10356/45973
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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