Social network analysis is an evolving field of research and link prediction problem shows a vital role for prediction of social network structure. This paper emphases on prevailing research on link prediction problem. Prevailing researches reveal that link prediction problem complexity, available solutions effective group communication management and social link consciousness. The link prediction problem across associated networks can include anchor link prediction problem and link transfer through associated heterogeneous networks. This paper summarizes recent growth about link prediction algorithms and survey of all the prevailing link prediction techniques.
목차
Abstract 1. Introduction 2. Background and Related Work 3. Available Framework for Link Prediction 4. Comparison of Basic Link Prediction Methods 5. Measurements of Links for Prediction in Graph Mining 5.1. Local Similarity Indices 5.2. Global Similarity Indices 6. Conclusion References
키워드
Data miningLink predictionSocial networkanalysisSocial network
저자
Ajay Kumar Singh Kushwah [ Department of CSE/IT Madhav Institute of Technology and Science Gwalior, Madhya Pradesh, India ]
Amit Kumar Manjhvar [ Department of CSE/IT Madhav Institute of Technology and Science Gwalior, Madhya Pradesh, India ]
보안공학연구지원센터(IJGDC) [Science & Engineering Research Support Center, Republic of Korea(IJGDC)]
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
간행물명
International Journal of Grid and Distributed Computing
간기
격월간
pISSN
2005-4262
수록기간
2008~2016
십진분류
KDC 505DDC 605
이 권호 내 다른 논문 / International Journal of Grid and Distributed Computing Vol.9 No.2