Publication:
Discovering the professional communities and social networks of emerging research areas: Use of technology intelligence from bibliometric and text mining analysis

dc.contributor.authorNathasit Gerdsrien_US
dc.contributor.authorAlisa Kongthonen_US
dc.contributor.authorSudatip Puengrusmeen_US
dc.contributor.otherMahidol Universityen_US
dc.contributor.otherThailand National Electronics and Computer Technology Centeren_US
dc.date.accessioned2018-06-11T04:41:03Z
dc.date.available2018-06-11T04:41:03Z
dc.date.issued2012-11-01en_US
dc.description.abstractThis study focuses on applying technology intelligence to discover the professional communities and social networks of biomedical engineering (BME) field in Thailand. The BME field in Thailand is at the starting stage of development; therefore, the research communities and networks for collaboration among key experts has not well established yet. This paper aims to; identify BME sub-research areas that are currently focused by BME experts in Thailand; identify the professional communities of researchers and practitioners related to BME from engineering and medical field; and identify social networks of BME engineering team in Thailand. The identification of these three aspects can support the development of potential collaboration among different groups of BME experts in Thailand in the future. © 2012 IEEE.en_US
dc.identifier.citation2012 Proceedings of Portland International Center for Management of Engineering and Technology: Technology Management for Emerging Technologies, PICMET'12. (2012), 114-121en_US
dc.identifier.other2-s2.0-84867952414en_US
dc.identifier.urihttps://repository.li.mahidol.ac.th/handle/20.500.14594/13878
dc.rightsMahidol Universityen_US
dc.rights.holderSCOPUSen_US
dc.source.urihttps://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=84867952414&origin=inwarden_US
dc.subjectBusiness, Management and Accountingen_US
dc.titleDiscovering the professional communities and social networks of emerging research areas: Use of technology intelligence from bibliometric and text mining analysisen_US
dc.typeConference Paperen_US
dspace.entity.typePublication
mu.datasource.scopushttps://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=84867952414&origin=inwarden_US

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