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dc.contributor.authorCahyadi, Denny
dc.description.abstractSocial Network Analysis (SNA) is an approach to the study of social interactions represented as directed graphs. Recent studies have introduced a number of SNA metrics to obtain useful information from the social network. These metrics enable people to identify communication patterns, network characteristics, and suspicious groups in the network. This project was focusing on several metrics and discovering relationships among them, anticipating for more useful data by analyzing these relationships. Unknowingly what precise information could be obtained, the relationships at first were in form of comparison among metrics in a general scope, be it among values obtained, mathematical formulas, or even characteristics of each metric.en_US
dc.format.extent63 p.en_US
dc.rightsNanyang Technological University
dc.subjectDRNTU::Engineering::Computer science and engineering::Computer applications::Social and behavioral sciencesen_US
dc.titleSearching social networksen_US
dc.typeFinal Year Project (FYP)en_US
dc.contributor.schoolSchool of Computer Engineeringen_US
dc.description.degreeBachelor of Engineering (Computer Science)en_US
dc.contributor.researchCentre for Advanced Information Systemsen_US
dc.contributor.supervisor2Cheng Sheung Chak Jamesen_US
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Appears in Collections:SCSE Student Reports (FYP/IA/PA/PI)
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