Detecting real-world communities from social media networking sites with social network analysis techniques
dc.contributor | Aalto-yliopisto | fi |
dc.contributor | Aalto University | en |
dc.contributor.advisor | Vuorinen, Matti | |
dc.contributor.author | Ristimäki, Matias | |
dc.contributor.school | Perustieteiden korkeakoulu | fi |
dc.contributor.supervisor | Kivelä, Mikko | |
dc.date.accessioned | 2020-03-22T18:12:00Z | |
dc.date.available | 2020-03-22T18:12:00Z | |
dc.date.issued | 2020-03-16 | |
dc.format.extent | 68 | |
dc.identifier.uri | https://aaltodoc.aalto.fi/handle/123456789/43608 | |
dc.identifier.urn | URN:NBN:fi:aalto-202003222642 | |
dc.language.iso | en | en |
dc.programme | Master’s Programme in Computer, Communication and Information Sciences | fi |
dc.programme.major | Computer Science | fi |
dc.programme.mcode | SCI3042 | fi |
dc.subject.keyword | social network analysis | en |
dc.subject.keyword | community detection | en |
dc.subject.keyword | deep web | en |
dc.subject.keyword | crawling | en |
dc.title | Detecting real-world communities from social media networking sites with social network analysis techniques | en |
dc.title | Reaalimaailman ryhmien tunnistaminen sosiaalisen median verkostointisivuilta sosiaalisilla verkostoanalyysitekniikoilla | fi |
dc.type | G2 Pro gradu, diplomityö | fi |
dc.type.ontasot | Master's thesis | en |
dc.type.ontasot | Diplomityö | fi |
local.aalto.electroniconly | yes | |
local.aalto.openaccess | no |