지원사업
학술연구/단체지원/교육 등 연구자 활동을 지속하도록 DBpia가 지원하고 있어요.
커뮤니티
연구자들이 자신의 연구와 전문성을 널리 알리고, 새로운 협력의 기회를 만들 수 있는 네트워킹 공간이에요.
논문 기본 정보
- 자료유형
- 학술저널
- 저자정보
- 발행연도
- 2018.10
- 수록면
- 181 - 188 (8page)
이용수
초록· 키워드
오류제보하기
In this paper, we tried to investigate whether the influence of `I` in a heterogeneous network of physical network and virtual network can be quantitatively measurable. To do this, we used Networked Community(NC) methodology to devise a concrete model of influence assessment in heterogeneous network. In order to test the model, we conducted an experiment with Donald J. Trump and his surroundings to evaluate the effectiveness of this influence assessment model. Experimentation included the measurement of impacts on the physical and virtual networks, and the impact on the networked community. Using Trump`s case, we found that analyzing only one of the two networks can not accurately analyze the impact on others.
목차
Abstract
I. Introduction
II. Related Work
III. Influence Assessment Model
IV. Experiment
IV. Conclusions
REFERENCES
참고문헌 (16)
참고문헌 신청
73% Of U.S. Adults Use Social Networks, Pinterest Passes Twitter In Popularity, Facebook Stays On Top
Y. Kim / 2018 / KISDI Stat Report 18-11
S. Yoon. / 2017 / Making relationships to links -Networked community, a connected society / 4th International Conference on Systems and Informatics (ICSAI) :1040~1048
http://sports.donga.com/3/all/20160129/76200642/1
http://www.nocutnews.co.kr/news/4571143
Y. Kim / 2018 / KISDI Stat Report 18-11
S. Yoon. / 2017 / Making relationships to links -Networked community, a connected society / 4th International Conference on Systems and Informatics (ICSAI) :1040~1048
http://sports.donga.com/3/all/20160129/76200642/1
http://www.nocutnews.co.kr/news/4571143
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UCI(KEPA) : I410-ECN-0101-2019-004-000122064