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Analyzing crowdsourced promotion effects in online social networks

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dc.contributor.authorKim, Hee-Jeong-
dc.contributor.authorChae, Dong-Kyu-
dc.contributor.authorKim, Sang-Wook-
dc.contributor.authorLee, Jongwuk-
dc.date.accessioned2022-07-15T17:51:55Z-
dc.date.available2022-07-15T17:51:55Z-
dc.date.created2021-05-13-
dc.date.issued2016-04-
dc.identifier.urihttps://scholarworks.bwise.kr/hanyang/handle/2021.sw.hanyang/154833-
dc.description.abstractIn recent years, crowdsourcing has been actively used for many people to promote their products in online social networks (OSN), e.g., Twitter. The promotion activity in Twitter is typically performed by retweeting tweets by some accounts, called workers who earn monetary profits by deliberately promoting products for a requester. In this process, a fundamental question is whether the promotions by workers are really effective or not. To answer this question, in this paper, we analyze topological characteristics for the networks of workers, and evaluate the effect of promotions. Our empirical study demonstrates that the network of workers tends to be connected as a small-world network and their promotions show low impacts in the network of workers.-
dc.language영어-
dc.language.isoen-
dc.publisherAssociation for Computing Machinery-
dc.titleAnalyzing crowdsourced promotion effects in online social networks-
dc.typeArticle-
dc.contributor.affiliatedAuthorKim, Sang-Wook-
dc.identifier.doi10.1145/2851613.2852005-
dc.identifier.scopusid2-s2.0-84975830635-
dc.identifier.bibliographicCitationProceedings of the ACM Symposium on Applied Computing, v.04-08-April-2016, pp.820 - 823-
dc.relation.isPartOfProceedings of the ACM Symposium on Applied Computing-
dc.citation.titleProceedings of the ACM Symposium on Applied Computing-
dc.citation.volume04-08-April-2016-
dc.citation.startPage820-
dc.citation.endPage823-
dc.type.rimsART-
dc.type.docTypeConference Paper-
dc.description.journalClass1-
dc.description.isOpenAccessN-
dc.description.journalRegisteredClassscopus-
dc.subject.keywordPlusCrowdsourcing-
dc.subject.keywordPlusSmall-world networks-
dc.subject.keywordPlusCrowdsourced promotion-
dc.subject.keywordPlusEmpirical studies-
dc.subject.keywordPlusFiverr-
dc.subject.keywordPlusOn-line social networks-
dc.subject.keywordPlusOnline social networks (OSN)-
dc.subject.keywordPlusPromotion effects-
dc.subject.keywordPlusTopological characteristics-
dc.subject.keywordPlusTwitter-
dc.subject.keywordPlusSocial networking (online)-
dc.subject.keywordAuthorCrowdsourced promotion-
dc.subject.keywordAuthorCrowdsourcing-
dc.subject.keywordAuthorFiverr-
dc.subject.keywordAuthorPromotion effects-
dc.subject.keywordAuthorTwitter-
dc.identifier.urlhttps://dl.acm.org/doi/10.1145/2851613.2852005-
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