Please use this identifier to cite or link to this item: https://hdl.handle.net/10356/157865
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dc.contributor.authorNg, Han Senen_US
dc.date.accessioned2022-05-24T12:16:42Z-
dc.date.available2022-05-24T12:16:42Z-
dc.date.issued2022-
dc.identifier.citationNg, H. S. (2022). Python based event management analytics system (part A). Final Year Project (FYP), Nanyang Technological University, Singapore. https://hdl.handle.net/10356/157865en_US
dc.identifier.urihttps://hdl.handle.net/10356/157865-
dc.description.abstractA social network is a group of people (or organisations or other social entities) linked by social interactions such as friendship, co-working, or information sharing. Social Network Analysis (SNA) is the process of investigating social structures using networks and graph theory. SNA studies patterns of relationships among people, companies, states, and other social entities. It characterises network structures in terms of nodes (individual actors, people, or things within the network) and the ties, edges, or links (relationships or interactions) that connect them. The visual and statistical examination of human relationships is provided by social network analysis. In this paper, we explore the use of Python to perform Social Network Analysis in our use case; to understand the interactions and relationships of participants who have attended Nanyang Technological University (NTU) open-house events.en_US
dc.language.isoenen_US
dc.publisherNanyang Technological Universityen_US
dc.relationA3018-211en_US
dc.subjectEngineering::Electrical and electronic engineeringen_US
dc.titlePython based event management analytics system (part A)en_US
dc.typeFinal Year Project (FYP)en_US
dc.contributor.supervisorAndy Khong W Hen_US
dc.contributor.schoolSchool of Electrical and Electronic Engineeringen_US
dc.description.degreeBachelor of Engineering (Electrical and Electronic Engineering)en_US
dc.contributor.supervisoremailAndyKhong@ntu.edu.sgen_US
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Appears in Collections:EEE Student Reports (FYP/IA/PA/PI)
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