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Identifying emerging influential Nodes in evolving networks: Exploiting strength of weak nodes.

, , , and . CoRR, (2016)

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Discovering Items with Potential Popularity on Social Media., , and . DASC/PiCom/DataCom/CyberSciTech, page 459-466. IEEE Computer Society, (2016)Co-Evolving Popularity Prediction in Temporal Bipartite Networks: A Heuristics Based Model., , , , , , , , , and 1 other author(s). IEEE Access, (2023)A Novel Temporal Network-Embedding Algorithm for Link Prediction in Dynamic Networks., , , , , and . Entropy, 25 (2): 257 (February 2023)Weber's law based multi-level convolution correlation features for image retrieval., , , , , and . Multim. Tools Appl., 80 (13): 19157-19177 (2021)Blockchain technology and application: an overview., , , and . PeerJ Comput. Sci., (2023)TempNodeEmb: Temporal Node Embedding considering temporal edge influence matrix., , , , , , and . CoRR, (2020)Ranking Nodes in Temporal Networks: Eigen Value and Node Degree Growth based., , , and . IPMV, page 146-153. ACM, (2020)Predicting the Future Popularity of Academic Publications Using Deep Learning by Considering It as Temporal Citation Networks., , , , , , , , , and . IEEE Access, (2023)Rising Novelties on Evolving Networks: Recent Behavior Dominant and Non-Dominant Model.. CoRR, (2016)A survey on deep learning and its applications., , and . Comput. Sci. Rev., (2021)