Construction of a blog network based on information diffusion
DC Field | Value | Language |
---|---|---|
dc.contributor.author | Lim, Seung-Hwan | - |
dc.contributor.author | Kim, Sang-Wook | - |
dc.contributor.author | Kim, Soyoun | - |
dc.contributor.author | Park, Sanghyun | - |
dc.date.accessioned | 2022-07-16T21:37:47Z | - |
dc.date.available | 2022-07-16T21:37:47Z | - |
dc.date.created | 2021-05-11 | - |
dc.date.issued | 2011-03 | - |
dc.identifier.issn | 0000-0000 | - |
dc.identifier.uri | https://scholarworks.bwise.kr/hanyang/handle/2021.sw.hanyang/168961 | - |
dc.description.abstract | The blog world is a representative online society. To understand the nature of the blog world, there have been many research efforts on analyzing information diffusion and blog-ger activities. The independent cascade model is appropriate to explain information diffusion in the blog world. For the model to be employed, the blog world should be represented as a form of a network. For accurate analysis, it is crucial to assign a diffusion probability to each edge between a pair of bloggers in the blog network. In this paper, we propose a novel method to assign a diffusion probability to an edge for a pair of bloggers that reflects well the phenomenon of actual information diffusion between them. We verify the superiority of our approach by performing extensive experiments with real-world blog data. | - |
dc.language | 영어 | - |
dc.language.iso | en | - |
dc.publisher | Association for Computing Machinery | - |
dc.title | Construction of a blog network based on information diffusion | - |
dc.type | Article | - |
dc.contributor.affiliatedAuthor | Kim, Sang-Wook | - |
dc.identifier.doi | 10.1145/1982185.1982391 | - |
dc.identifier.scopusid | 2-s2.0-79959298385 | - |
dc.identifier.bibliographicCitation | Proceedings of the ACM Symposium on Applied Computing, pp.937 - 941 | - |
dc.relation.isPartOf | Proceedings of the ACM Symposium on Applied Computing | - |
dc.citation.title | Proceedings of the ACM Symposium on Applied Computing | - |
dc.citation.startPage | 937 | - |
dc.citation.endPage | 941 | - |
dc.type.rims | ART | - |
dc.type.docType | Conference Paper | - |
dc.description.journalClass | 1 | - |
dc.description.isOpenAccess | N | - |
dc.description.journalRegisteredClass | scopus | - |
dc.subject.keywordPlus | Accurate analysis | - |
dc.subject.keywordPlus | Blog networks | - |
dc.subject.keywordPlus | Bloggers | - |
dc.subject.keywordPlus | CASCADE model | - |
dc.subject.keywordPlus | Information diffusion | - |
dc.subject.keywordPlus | Novel methods | - |
dc.subject.keywordPlus | Research efforts | - |
dc.subject.keywordPlus | Social Network Analysis | - |
dc.subject.keywordPlus | Data mining | - |
dc.subject.keywordPlus | Diffusion | - |
dc.subject.keywordPlus | Electric network analysis | - |
dc.subject.keywordPlus | Blogs | - |
dc.subject.keywordAuthor | blogs | - |
dc.subject.keywordAuthor | data mining | - |
dc.subject.keywordAuthor | information diffusion | - |
dc.subject.keywordAuthor | social network analysis | - |
dc.identifier.url | https://dl.acm.org/doi/10.1145/1982185.1982391 | - |
Items in ScholarWorks are protected by copyright, with all rights reserved, unless otherwise indicated.
222, Wangsimni-ro, Seongdong-gu, Seoul, 04763, Korea+82-2-2220-1365
COPYRIGHT © 2021 HANYANG UNIVERSITY.
Certain data included herein are derived from the © Web of Science of Clarivate Analytics. All rights reserved.
You may not copy or re-distribute this material in whole or in part without the prior written consent of Clarivate Analytics.