SNS 정보확산력 산출에 관한 연구- 트위터를 중심으로 -
DC Field | Value | Language |
---|---|---|
dc.contributor.author | 박상민 | - |
dc.contributor.author | 박태형 | - |
dc.contributor.author | 이경호 | - |
dc.date.accessioned | 2021-09-07T02:00:27Z | - |
dc.date.available | 2021-09-07T02:00:27Z | - |
dc.date.created | 2021-06-17 | - |
dc.date.issued | 2012 | - |
dc.identifier.issn | 1738-6667 | - |
dc.identifier.uri | https://scholar.korea.ac.kr/handle/2021.sw.korea/109991 | - |
dc.description.abstract | As of 2006. 3. the twitter offered in the USA has been one of the propaganda instrument used with ads and politics functioning speedy information diffusion on SNS communicated with others through 140 letters of short messages. and while twitter is using propaganda instrument, it keeps on trying to verify how it has an effect on. So, on the paper, I suggest new simulation model of information diffusion based on probability being able to predict the range of proliferation after it analyze the existing influence and the diffusion force on verification methods. It designed algorithm of verification and algorithm of prediction to use twitter’s Open API with Python basement. It proved effectiveness on the model through the analysis to operate the twitter of practical local autonomous entity. | - |
dc.language | Korean | - |
dc.language.iso | ko | - |
dc.publisher | (사)디지털산업정보학회 | - |
dc.title | SNS 정보확산력 산출에 관한 연구- 트위터를 중심으로 - | - |
dc.title.alternative | Research on Information Spread impact of SNS(Study of Twitter) | - |
dc.type | Article | - |
dc.contributor.affiliatedAuthor | 이경호 | - |
dc.identifier.bibliographicCitation | (사)디지털산업정보학회 논문지, v.8, no.3, pp.157 - 169 | - |
dc.relation.isPartOf | (사)디지털산업정보학회 논문지 | - |
dc.citation.title | (사)디지털산업정보학회 논문지 | - |
dc.citation.volume | 8 | - |
dc.citation.number | 3 | - |
dc.citation.startPage | 157 | - |
dc.citation.endPage | 169 | - |
dc.type.rims | ART | - |
dc.identifier.kciid | ART001698062 | - |
dc.description.journalClass | 2 | - |
dc.description.journalRegisteredClass | kci | - |
dc.description.journalRegisteredClass | other | - |
dc.subject.keywordAuthor | Social Network Service | - |
dc.subject.keywordAuthor | Spread Impact | - |
dc.subject.keywordAuthor | - |
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