Triangle counting and listing in directed and undirected graphs using single machines

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dc.contributor.authorSantoso, Yudi
dc.contributor.supervisorThomo, Alex
dc.contributor.supervisorSrinivasan, Venkatesh
dc.date.accessioned2018-08-14T18:58:53Z
dc.date.available2018-08-14T18:58:53Z
dc.date.copyright2018en_US
dc.date.issued2018-08-14
dc.degree.departmentDepartment of Computer Scienceen_US
dc.degree.levelMaster of Science M.Sc.en_US
dc.description.abstractTriangle enumeration is an important element in graph analysis, and because of this it is a topic that has been studied extensively. Although the formulation is simple, for large networks the computation becomes challenging as we have to deal with memory limitation and efficiency. Many algorithms have been proposed to overcome these problems. Some use distributed computing, where the computation is distributed among many machines in a cluster. However, this approach has a high cost in terms of hardware resources and energy. In this thesis we studied triangle counting/listing algorithms for both directed and undirected graphs, and searched for methods to do the computation on a single machine. Through detailed analysis, we found some ways to improve the efficiency of the computation. Programs that implement the algorithms were built and tested on large networks with up to almost a billion nodes. The results were then analysed and discussed.en_US
dc.description.scholarlevelGraduateen_US
dc.identifier.urihttp://hdl.handle.net/1828/9902
dc.languageEnglisheng
dc.language.isoenen_US
dc.rightsAvailable to the World Wide Weben_US
dc.subjectGraph computationen_US
dc.subjectLarge networksen_US
dc.subjectTriangle enumerationen_US
dc.subjectSingle machine algorithmen_US
dc.titleTriangle counting and listing in directed and undirected graphs using single machinesen_US
dc.typeThesisen_US

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