Teasing out the missing links
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DOI: 10.1038/453047a
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Cited by:
- Shang, Ke-ke & Small, Michael & Yan, Wei-sheng, 2017. "Link direction for link prediction," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 469(C), pages 767-776.
- Yin, Likang & Deng, Yong, 2018. "Measuring transferring similarity via local information," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 498(C), pages 102-115.
- Lü, Linyuan & Zhou, Tao, 2011. "Link prediction in complex networks: A survey," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 390(6), pages 1150-1170.
- Castro, Luis E. & Shaikh, Nazrul I., 2018. "A particle-learning-based approach to estimate the influence matrix of online social networks," Computational Statistics & Data Analysis, Elsevier, vol. 126(C), pages 1-18.
- Mingyu Nan & Yifan Zhu & Jie Zhang & Tao Wang & Xin Zhou, 2022. "MSGWO-MKL-SVM: A Missing Link Prediction Method for UAV Swarm Network Based on Time Series," Mathematics, MDPI, vol. 10(14), pages 1-29, July.
- Emöke-Ágnes Horvát & Michael Hanselmann & Fred A Hamprecht & Katharina A Zweig, 2012. "One Plus One Makes Three (for Social Networks)," PLOS ONE, Public Library of Science, vol. 7(4), pages 1-8, April.
- Shang, Ke-ke & Yan, Wei-sheng & Small, Michael, 2016. "Evolving networks—Using past structure to predict the future," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 455(C), pages 120-135.
- Liao, Hao & Zeng, An & Zhang, Yi-Cheng, 2015. "Predicting missing links via correlation between nodes," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 436(C), pages 216-223.
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