A demonstration for influence maximization over graph
This report introduces the final year project of visualisation of simulated social networking influence spread, conducted by Goh Shao Peng using Java (Eclipse), Gephi graph visualisation platform, and Sigma.js as a cross platform visualisation. It starts with introduction of the importance and a...
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| Format: | Final Year Project |
| Language: | English |
| Published: |
2017
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| Subjects: | |
| Online Access: | http://hdl.handle.net/10356/72897 |
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| Institution: | Nanyang Technological University |
| Language: | English |
| Summary: | This report introduces the final year project of visualisation of
simulated social networking influence spread, conducted by Goh Shao
Peng using Java (Eclipse), Gephi graph visualisation platform, and
Sigma.js as a cross platform visualisation. It starts with introduction
of the importance and advantages of social networking as a medium
for widespread information cascade, along with its definitions and
limitations, followed by how does the process flow for visualisation
of a small simulated social network in a graph form. This report
discusses the process, the basics of influence maximization, the pros
and cons of using said technique to visualise a graph network along
with testing of various simulated datasets, and finally the conclusion
for possible and further improvement and implementation. Step by
step images will be attached in the report as well. |
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