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Big Data Analytics of Multi-Relationship Online Social Network Based on Multi-Subnet Composited Complex Network
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- 발행기관
- 보안공학연구지원센터(IJDTA) 바로가기
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- 간행물
- International Journal of Database Theory and Application SCOPUS 바로가기
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- 통권
- Vol.8 No.5 (2015.10)바로가기
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- 페이지
- pp.273-284
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- 저자
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- 언어
- 영어(ENG)
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- URL
- https://www.earticle.net/Article/A257149
※ 원문제공기관과의 협약기간이 종료되어 열람이 제한될 수 있습니다.
원문정보
초록
- 영어
- Online social networks such as Twitter and Facebook are becoming popular form of social information networks. There are frequently many kinds of relationships in an online social network. Complex Network acting as one kind of big data technologies is often used to analyze users' social activities. By studying the Douban network, which is a representative multi-relationship online social network in China, big data of friendship relationship and book comments similar relationship are crawled through network topology measurement software, from the perspective of topological characteristics of complex network, the basic topologies of the two relationship networks constructed individually by the two relationships are analyzed. Based on these, a multi-relationship online social network based on Multi-subnet Composited Complex Network Model is constructed through loading book comments similar relationship subnet to follower relationship subnet, and accurate understanding of topologies of Douban multi-relationship network is obtained. These findings provide a deep understanding on the evolution of multi-relationship online social network, and can provide guidelines on how to build an efficient multi-relationship online social network evolution model.
목차
Abstract
1. Introduction
2. Topological Characteristics of Complex Network
3. Empirical Analysis of Douban Users Friendship Relationship Network
4. Empirical Analysis of Douban Book Comments Similar Relationship Network
5. Empirical Analysis of Douban User Multi-Relationship Network
6. Conclusion
Acknowledgement
References
키워드
Complex Network Big Data Online Social Network Multi-subnet Composited Complex Network저자
간행물 정보
발행기관
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- 발행기관명
- 보안공학연구지원센터(IJDTA) [Science & Engineering Research Support Center, Republic of Korea(IJDTA)]
- 설립연도
- 2006
- 분야
- 공학>컴퓨터학
- 소개
- 1. 보안공학에 대한 각종 조사 및 연구 2. 보안공학에 대한 응용기술 연구 및 발표 3. 보안공학에 관한 각종 학술 발표회 및 전시회 개최 4. 보안공학 기술의 상호 협조 및 정보교환 5. 보안공학에 관한 표준화 사업 및 규격의 제정 6. 보안공학에 관한 산학연 협동의 증진 7. 국제적 학술 교류 및 기술 협력 8. 보안공학에 관한 논문지 발간 9. 기타 본 회 목적 달성에 필요한 사업
간행물
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- 간행물명
- International Journal of Database Theory and Application
- 간기
- 격월간
- pISSN
- 2005-4270
- 수록기간
- 2008~2016
- 십진분류
- KDC 505 DDC 605
이 권호 내 다른 논문 / International Journal of Database Theory and Application Vol.8 No.5
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