Graph kernel based link prediction for signed social networks
Abstract
By revealing potential relationships between users, link prediction has long been considered as a fundamental research issue in singed social networks. The key of link prediction is to measure the similarity between users. Existing works use connections between target users or their common neighbors to measure user similarity. Rich information available for link prediction is missing since use similarity is widely influenced by many users via...
Paper Details
Title
Graph kernel based link prediction for signed social networks
Published Date
Mar 1, 2019
Journal
Volume
46
Pages
1 - 10
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