TY - GEN
T1 - Link Prediction in Dynamic Social Networks
T2 - 5th International Congress on Information Science and Technology, CiSt 2018
AU - Marjan, Mohammad
AU - Zaki, Nazar
AU - Mohamed, Elfadil A.
N1 - Publisher Copyright:
© 2018 IEEE.
PY - 2018/12/28
Y1 - 2018/12/28
N2 - Social network link prediction has gained significant attention and become a key research focus over the last two decades. The prediction of missing links in the current network and emerging or broken links in future networks is essential for the understanding of their evolutionary nature. Social networks are changing dynamically over time. Link inference in dynamic social networks is an extremely challenging process and few link prediction methods consider their evolving nature. The aim of this paper is to comprehensively review, analyze, discuss and evaluate state-of-the-art link prediction methods in dynamic social networks. The leading link prediction methods and techniques that network science has produced are categorized and compared. Features and evaluation metrics for each method are presented. Finally, some future directions and recommendations are provided.
AB - Social network link prediction has gained significant attention and become a key research focus over the last two decades. The prediction of missing links in the current network and emerging or broken links in future networks is essential for the understanding of their evolutionary nature. Social networks are changing dynamically over time. Link inference in dynamic social networks is an extremely challenging process and few link prediction methods consider their evolving nature. The aim of this paper is to comprehensively review, analyze, discuss and evaluate state-of-the-art link prediction methods in dynamic social networks. The leading link prediction methods and techniques that network science has produced are categorized and compared. Features and evaluation metrics for each method are presented. Finally, some future directions and recommendations are provided.
KW - dynamic social etworks
KW - evolutionary
KW - link inference
KW - link prediction
UR - http://www.scopus.com/inward/record.url?scp=85061430740&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=85061430740&partnerID=8YFLogxK
U2 - 10.1109/CIST.2018.8596511
DO - 10.1109/CIST.2018.8596511
M3 - Conference contribution
AN - SCOPUS:85061430740
T3 - Colloquium in Information Science and Technology, CIST
SP - 200
EP - 207
BT - 5th International Congress on Information Science and Technology, CiSt 2018
A2 - Al Achhab, Mohammed
A2 - El Mohajir, Mohammed
A2 - Jellouli, Ismail
A2 - El Mohajir, Badr Eddine
PB - Institute of Electrical and Electronics Engineers Inc.
Y2 - 22 October 2018 through 24 October 2018
ER -