Learning to Correlate Accounts Across Online Social Networks: An Embedding-Based Approach
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DOI: 10.1287/ijoc.2019.0911
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- Yinghui (Catherine) Yang & Balaji Padmanabhan & Hongyan Liu & Xiaoyu Wang, 2012. "Discovery of Periodic Patterns in Sequence Data: A Variance-Based Approach," INFORMS Journal on Computing, INFORMS, vol. 24(3), pages 372-386, August.
- Dawn M. Strickland & Earl Barnes & Joel S. Sokol, 2005. "Optimal Protein Structure Alignment Using Maximum Cliques," Operations Research, INFORMS, vol. 53(3), pages 389-402, June.
- Xiao-Bai Li & Sumit Sarkar, 2011. "Protecting Privacy Against Record Linkage Disclosure: A Bounded Swapping Approach for Numeric Data," Information Systems Research, INFORMS, vol. 22(4), pages 774-789, December.
- Yinghui (Catherine) Yang & Hongyan Liu & Yuanjue Cai, 2013. "Discovery of Online Shopping Patterns Across Websites," INFORMS Journal on Computing, INFORMS, vol. 25(1), pages 161-176, February.
- Zan Huang & Dennis K. J. Lin, 2009. "The Time-Series Link Prediction Problem with Applications in Communication Surveillance," INFORMS Journal on Computing, INFORMS, vol. 21(2), pages 286-303, May.
- Chungmok Lee & Minh Pham & Myong K. Jeong & Dohyun Kim & Dennis K. J. Lin & Wanpracha Art Chavalitwongse, 2015. "A Network Structural Approach to the Link Prediction Problem," INFORMS Journal on Computing, INFORMS, vol. 27(2), pages 249-267, May.
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Cited by:
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- Xi Chen & Yan Liu & Cheng Zhang, 2022. "Distinguishing Homophily from Peer Influence Through Network Representation Learning," INFORMS Journal on Computing, INFORMS, vol. 34(4), pages 1958-1969, July.
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Keywords
account correlation; network embedding; representation learning; alignment;All these keywords.
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