Sparse network embedding for community detection and sign prediction in signed social networks
Sign Up to like & getrecommendations! Published in 2019 at "Journal of Ambient Intelligence and Humanized Computing"
DOI: 10.1007/s12652-017-0630-1
Abstract: Network embedding is an important pre-process for analysing large scale information networks. Several network embedding algorithms have been proposed for unsigned social networks. However, these methods cannot be simply migrate to signed social networks which… read more here.
Keywords: detection sign; signed social; social networks; network embedding ... See more keywords
Reinforcement-Learning-Based Competitive Opinion Maximization Approach in Signed Social Networks
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Transactions on Computational Social Systems"
DOI: 10.1109/tcss.2021.3120421
Abstract: Competitive opinion maximization (COM) in signed social networks targets at selecting a subset of influential individuals (i.e., seed nodes), spreading the desired opinions of the product to their neighbors against its opponents, and eventually achieving… read more here.
Keywords: reinforcement learning; signed social; social networks; opinion maximization ... See more keywords