37 0

Full metadata record

DC FieldValueLanguage
dc.contributor.author한진영-
dc.date.accessioned2019-05-07T02:27:59Z-
dc.date.available2019-05-07T02:27:59Z-
dc.date.issued2017-07-
dc.identifier.citation2017 26th International Conference on Computer Communication and Networks (ICCCN), Page. 1-9en_US
dc.identifier.isbn978-1-5090-2991-4-
dc.identifier.urihttps://ieeexplore.ieee.org/document/8038387/-
dc.identifier.urihttp://repository.hanyang.ac.kr/handle/20.500.11754/103454-
dc.description.abstractVarious Online Social Network (OSN) based applications depend on the interactions between users to disseminate information and recruit more users. The temporal evolution of adoption or cascade process of new products, applications or ideas is important to advertisers, OSN operators and application developers. Interactions between users are represented by massive directed graphs, so graph sampling methods were proposed to capture their properties. Existing graph sampling methods, such as a simple random walk, however, are ill- suited for capturing this and other dynamic properties of the graph. We propose ForestStream, a measurement method that relies on a combination of sampling and streaming with the goal of capturing the statistical properties of cascades in OSN graphs. We demonstrate our method's accuracy over existing methods in inferring the cascade statistics, with a low memory usage.en_US
dc.description.sponsorshipThis work was supported in part by US NSF grant CNS-1302197.en_US
dc.language.isoen_USen_US
dc.publisherIEEEen_US
dc.subjectMemory managementen_US
dc.subjectFacebook, Vegetationen_US
dc.subjectSampling methodsen_US
dc.subjectReceiversen_US
dc.subjectEstimationen_US
dc.titleForestStream: Accurate Measurement of Cascades in Online Social Networksen_US
dc.typeArticleen_US
dc.identifier.doi10.1109/ICCCN.2017.8038387-
dc.relation.page1-9-
dc.contributor.googleauthorGong, Long-
dc.contributor.googleauthorHuang, Lanxi-
dc.contributor.googleauthorTune, Paul-
dc.contributor.googleauthorHan, Jinyoung-
dc.contributor.googleauthorChuah, Chen-Nee-
dc.contributor.googleauthorRoughan, Matthew-
dc.contributor.googleauthorXu, Jun-
dc.sector.campusE-
dc.sector.daehakCOLLEGE OF COMPUTING[E]-
dc.sector.departmentDIVISION OF MEDIA, CULTURE, AND DESIGN TECHNOLOGY-
dc.identifier.pidjinyounghan-
Appears in Collections:
COLLEGE OF COMPUTING[E] > MEDIA, CULTURE, AND DESIGN TECHNOLOGY(ICT융합학부) > Articles
Files in This Item:
There are no files associated with this item.
Export
RIS (EndNote)
XLS (Excel)
XML


qrcode

Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.

BROWSE