Contextual synchronization for efficient social collaborations: A case study on Tweetpulse
DC Field | Value | Language |
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dc.contributor.author | Jung, Jason J. | - |
dc.date.available | 2020-03-27T07:53:41Z | - |
dc.date.issued | 2013 | - |
dc.identifier.issn | 1860-949X | - |
dc.identifier.issn | 1860-9503 | - |
dc.identifier.uri | https://scholarworks.bwise.kr/cau/handle/2019.sw.cau/37723 | - |
dc.description.abstract | It is important to be aware of user contexts for supporting efficient collaborations among them. The goal of this paper is to present a social collaboration platform where we can understand i) how the user contexts are dynamically changing over time, and ii) how the user contexts are mixed with multiple sub-contexts together. Thereby, we have implemented TweetPulse, which is a a Twitter-based tool for context monitoring and propagation system in a given social network. TweetPulse can match contexts of the users (and integrate them) to find the most relevant users. Eventually, collaboration among users are contextually synchronized. by dynamically organizing a number of communities. A set of users in each community come together to share skills or core competencies and resources at the moment. We have shown the experimental results collected from a collaborative information searching system in terms of i) setting thresholds, ii) searching performance, and iii) scalability testing. | - |
dc.format.extent | 9 | - |
dc.language | 영어 | - |
dc.language.iso | ENG | - |
dc.publisher | Springer Verlag | - |
dc.title | Contextual synchronization for efficient social collaborations: A case study on Tweetpulse | - |
dc.type | Article | - |
dc.identifier.doi | 10.1007/978-3-642-32524-3_22 | - |
dc.identifier.bibliographicCitation | Studies in Computational Intelligence, v.446, pp 171 - 179 | - |
dc.description.isOpenAccess | N | - |
dc.identifier.wosid | 000335643600022 | - |
dc.identifier.scopusid | 2-s2.0-84867929989 | - |
dc.citation.endPage | 179 | - |
dc.citation.startPage | 171 | - |
dc.citation.title | Studies in Computational Intelligence | - |
dc.citation.volume | 446 | - |
dc.type.docType | Article | - |
dc.publisher.location | 독일 | - |
dc.relation.journalResearchArea | Computer Science, Artificial Intelligence | - |
dc.relation.journalResearchArea | Computer Science, Information Systems | - |
dc.relation.journalResearchArea | Robotics | - |
dc.relation.journalWebOfScienceCategory | Computer Science | - |
dc.relation.journalWebOfScienceCategory | Robotics | - |
dc.description.journalRegisteredClass | scopus | - |
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