Data-Driven Link Screening for Increasing Network Predictability

IEEE Transactions on Knowledge and Data Engineering(2021)

Cited 0|Views21
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Abstract
Prediction methods applied to digital network data offer powerful capabilities that have radically affected a host of industries and services. Specifically, numerous works have shown that the use of network information to predict focal node properties produces significantly more accurate results compared with exclusive reliance on other types of data. In this study, we propose that it may be possi...
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Key words
Training,Task analysis,Prediction algorithms,Tagging,Social networking (online),Supervised learning,Industries
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