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Predicting and Identifying Missing Node Information in Social Networks
ACM Transactions on Knowledge Discovery from Data
In recent years, social networks have surged in popularity. One key aspect of social network research is identifying important missing information which is not explicitly represented in the network, or is not visible to all. To date, this line of research typically focused on finding the connections that are missing between nodes, a challenge typically termed as the Link Prediction Problem. This paper introduces the Missing Node Identification problem where missing members in the social networkdoi:10.1145/2536775 fatcat:m35kzk7435enznarlyr7wgk7hy