Evolving networks—Using past structure to predict the future
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DOI: 10.1016/j.physa.2016.02.067
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References listed on IDEAS
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Cited by:
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- Charakopoulos, A.K. & Katsouli, G.A. & Karakasidis, T.E., 2018. "Dynamics and causalities of atmospheric and oceanic data identified by complex networks and Granger causality analysis," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 495(C), pages 436-453.
- Yin, Likang & Deng, Yong, 2018. "Toward uncertainty of weighted networks: An entropy-based model," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 508(C), pages 176-186.
- Charikhi, Mourad, 2024. "Association of the PageRank algorithm with similarity-based methods for link prediction in complex networks," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 637(C).
- Shang, Ke-ke & Small, Michael & Yan, Wei-sheng, 2017. "Fitness networks for real world systems via modified preferential attachment," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 474(C), pages 49-60.
- Jiang, Zhongyuan & Tang, Xiaoke & Zeng, Yong & Li, Jinku & Ma, Jianfeng, 2021. "Adversarial link deception against the link prediction in complex networks," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 577(C).
- Yin, Likang & Zheng, Haoyang & Bian, Tian & Deng, Yong, 2017. "An evidential link prediction method and link predictability based on Shannon entropy," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 482(C), pages 699-712.
- Zhang, Cheng-Jun & Zhu, Xue-lian & Yu, Wen-bin & Liu, Jin & Chen, Ya-dang & Yao, Yu & Wang, Su-xun, 2024. "Predicting popularity of online products via collective recommendations," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 641(C).
- Zhao, Liming & Zhang, Haihong & Wu, Wenqing, 2017. "Knowledge service decision making in business incubators based on the supernetwork model," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 479(C), pages 249-264.
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Keywords
Link prediction; Evolving network; Unweighted network; Weighted network; Network structure;All these keywords.
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