IDEAS home Printed from https://ideas.repec.org/r/plo/pone00/0021202.html
   My bibliography  Save this item

Leaders in Social Networks, the Delicious Case

Citations

Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
as


Cited by:

  1. Wang, Jingjing & Xu, Shuqi & Mariani, Manuel S. & Lü, Linyuan, 2021. "The local structure of citation networks uncovers expert-selected milestone papers," Journal of Informetrics, Elsevier, vol. 15(4).
  2. Su, Qingyu & Chen, Cong & Huang, Xin & Li, Jian, 2022. "Interval TrendRank method for grid node importance assessment considering new energy," Applied Energy, Elsevier, vol. 324(C).
  3. Wu, Jian & Qiu, Tian & Chen, Guang, 2024. "A general deep-learning approach to node importance identification," Chaos, Solitons & Fractals, Elsevier, vol. 188(C).
  4. Zhai, Li & Yan, Xiangbin & Zhang, Guojing, 2018. "Bi-directional h-index: A new measure of node centrality in weighted and directed networks," Journal of Informetrics, Elsevier, vol. 12(1), pages 299-314.
  5. Qu, Hongbo & Song, Yu-Rong & Li, Ruqi & Li, Min, 2023. "GNR: A universal and efficient node ranking model for various tasks based on graph neural networks," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 632(P2).
  6. Zhao, Shuying & Sun, Shaowei, 2023. "Identification of node centrality based on Laplacian energy of networks," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 609(C).
  7. Zhao, Jie & Wang, Yunchuan & Deng, Yong, 2020. "Identifying influential nodes in complex networks from global perspective," Chaos, Solitons & Fractals, Elsevier, vol. 133(C).
  8. Wu, Hongqian & Deng, Hongzhong & Li, Jichao & Wang, Yangjun & Yang, Kewei, 2024. "Hunting for influential nodes based on radiation theory in complex networks," Chaos, Solitons & Fractals, Elsevier, vol. 188(C).
  9. Atdag, Samet & Bingol, Haluk O., 2021. "Computational models for commercial advertisements in social networks," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 572(C).
  10. Xiang Li & Chengli Zhao & Zhaolong Hu & Caixia Yu & Xiaojun Duan, 2022. "Revealing the character of journals in higher-order citation networks," Scientometrics, Springer;Akadémiai Kiadó, vol. 127(11), pages 6315-6338, November.
  11. Duan-Bing Chen & Hui Gao & Linyuan Lü & Tao Zhou, 2013. "Identifying Influential Nodes in Large-Scale Directed Networks: The Role of Clustering," PLOS ONE, Public Library of Science, vol. 8(10), pages 1-10, October.
  12. Huang, Chuangxia & Wen, Shigang & Li, Mengge & Wen, Fenghua & Yang, Xin, 2021. "An empirical evaluation of the influential nodes for stock market network: Chinese A-shares case," Finance Research Letters, Elsevier, vol. 38(C).
  13. Cai Gao & Xin Lan & Xiaoge Zhang & Yong Deng, 2013. "A Bio-Inspired Methodology of Identifying Influential Nodes in Complex Networks," PLOS ONE, Public Library of Science, vol. 8(6), pages 1-11, June.
  14. Zhong, Li-Xin & Xu, Wen-Juan & Shi, Yong-Dong & Qiu, Tian, 2013. "Coupled dynamics of mobility and pattern formation in optional public goods games," Chaos, Solitons & Fractals, Elsevier, vol. 47(C), pages 18-26.
  15. Xu, Shuqi & Mariani, Manuel Sebastian & Lü, Linyuan & Medo, Matúš, 2020. "Unbiased evaluation of ranking metrics reveals consistent performance in science and technology citation data," Journal of Informetrics, Elsevier, vol. 14(1).
  16. Zhu, Canshi & Wang, Xiaoyang & Zhu, Lin, 2017. "A novel method of evaluating key nodes in complex networks," Chaos, Solitons & Fractals, Elsevier, vol. 96(C), pages 43-50.
  17. Fei, Liguo & Deng, Yong, 2017. "A new method to identify influential nodes based on relative entropy," Chaos, Solitons & Fractals, Elsevier, vol. 104(C), pages 257-267.
  18. Xiaoyu Chen & Yang Liu & Zhenxin Cao & Xiaopeng Li & Jinde Cao, 2024. "H-core decomposition for directed networks and its application," Scientometrics, Springer;Akadémiai Kiadó, vol. 129(11), pages 6571-6596, November.
  19. Zhou, Ming-Yang & Xiong, Wen-Man & Wu, Xiang-Yang & Zhang, Yu-Xia & Liao, Hao, 2018. "Overlapping influence inspires the selection of multiple spreaders in complex networks," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 508(C), pages 76-83.
  20. Zhang, Wei & Cao, Juyang & Mariani, Manuel Sebastian & Wang, Zhen-Zhen & Zhou, Mingyang & Chen, Wei & Liao, Hao, 2024. "Uncovering milestone papers: A network diffusion and game theory approach," Journal of Informetrics, Elsevier, vol. 18(3).
  21. Teqi Dai & Tiantian Ding & Qingfang Liu & Bingxin Liu, 2022. "Node Centrality Comparison between Bus Line and Passenger Flow Networks in Beijing," Sustainability, MDPI, vol. 14(22), pages 1-14, November.
  22. Yingzhi Zhang & Shubin Liang & Jialin Liu & Peilong Cao & Lan Luan, 2021. "Evaluation for machine tool components importance based on improved LeaderRank," Journal of Risk and Reliability, , vol. 235(3), pages 331-337, June.
  23. Wang, Yan & Li, Haozhan & Zhang, Ling & Zhao, Linlin & Li, Wanlan, 2022. "Identifying influential nodes in social networks: Centripetal centrality and seed exclusion approach," Chaos, Solitons & Fractals, Elsevier, vol. 162(C).
  24. Wu, Yali & Dong, Ang & Ren, Yuanguang & Jiang, Qiaoyong, 2023. "Identify influential nodes in complex networks: A k-orders entropy-based method," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 632(P1).
  25. Li, Hanwen & Shang, Qiuyan & Deng, Yong, 2021. "A generalized gravity model for influential spreaders identification in complex networks," Chaos, Solitons & Fractals, Elsevier, vol. 143(C).
  26. Huang, Chuangxia & Deng, Yunke & Yang, Xiaoguang & Cao, Jinde & Yang, Xin, 2021. "A network perspective of comovement and structural change: Evidence from the Chinese stock market," International Review of Financial Analysis, Elsevier, vol. 76(C).
  27. Wang, Zhixiao & Zhao, Ya & Xi, Jingke & Du, Changjiang, 2016. "Fast ranking influential nodes in complex networks using a k-shell iteration factor," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 461(C), pages 171-181.
  28. Young-Ho Eom & Pablo Aragón & David Laniado & Andreas Kaltenbrunner & Sebastiano Vigna & Dima L Shepelyansky, 2015. "Interactions of Cultures and Top People of Wikipedia from Ranking of 24 Language Editions," PLOS ONE, Public Library of Science, vol. 10(3), pages 1-27, March.
  29. Hongping Wang & Yajuan Zhang & Zili Zhang & Sankaran Mahadevan & Yong Deng, 2015. "PhysarumSpreader: A New Bio-Inspired Methodology for Identifying Influential Spreaders in Complex Networks," PLOS ONE, Public Library of Science, vol. 10(12), pages 1-21, December.
  30. Zareie, Ahmad & Sheikhahmadi, Amir & Fatemi, Adel, 2017. "Influential nodes ranking in complex networks: An entropy-based approach," Chaos, Solitons & Fractals, Elsevier, vol. 104(C), pages 485-494.
  31. Chaocheng He & Jiang Wu & Qingpeng Zhang, 2021. "Characterizing research leadership on geographically weighted collaboration network," Scientometrics, Springer;Akadémiai Kiadó, vol. 126(5), pages 4005-4037, May.
  32. Zan, Yongli, 2018. "DSIR double-rumors spreading model in complex networks," Chaos, Solitons & Fractals, Elsevier, vol. 110(C), pages 191-202.
  33. Yang, Xu-Hua & Xiong, Zhen & Ma, Fangnan & Chen, Xiaoze & Ruan, Zhongyuan & Jiang, Peng & Xu, Xinli, 2021. "Identifying influential spreaders in complex networks based on network embedding and node local centrality," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 573(C).
  34. Wang, Longjian & Zhang, Shuichao & Szűcs, Gábor & Wang, Yonggang, 2024. "Identifying the critical nodes in multi-modal transportation network with a traffic demand-based computational method," Reliability Engineering and System Safety, Elsevier, vol. 244(C).
  35. Anwesha Sengupta & Shashankaditya Upadhyay & Indranil Mukherjee & Prasanta K. Panigrahi, 2024. "A study of the effect of influential spreaders on the different sectors of Indian market and a few foreign markets: a complex networks perspective," Journal of Computational Social Science, Springer, vol. 7(1), pages 45-85, April.
  36. Xipeng Liu & Xinmiao Li, 2024. "Unbiased evaluation of ranking algorithms applied to the Chinese green patents citation network," Scientometrics, Springer;Akadémiai Kiadó, vol. 129(6), pages 2999-3021, June.
  37. Xing Tang & Qiguang Miao & Shangshang Yu & Yining Quan, 2016. "A Data-Based Approach to Discovering Multi-Topic Influential Leaders," PLOS ONE, Public Library of Science, vol. 11(7), pages 1-14, July.
  38. Xiaojie Wang & Xue Zhang & Chengli Zhao & Dongyun Yi, 2016. "Maximizing the Spread of Influence via Generalized Degree Discount," PLOS ONE, Public Library of Science, vol. 11(10), pages 1-16, October.
  39. Yupeng Li & Zhaotong Wang & Xiaoyu Zhong & Fan Zou, 2019. "Identification of influential function modules within complex products and systems based on weighted and directed complex networks," Journal of Intelligent Manufacturing, Springer, vol. 30(6), pages 2375-2390, August.
  40. Yin, Yong & Chen, Jinqu & Chen, Zhuo & Du, Bo & Li, Baowen, 2024. "A scenario model for enhancing the resilience of an urban rail transit network by adding new links," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 637(C).
  41. Gong Kai & Kang Li, 2018. "A New K-Shell Decomposition Method for Identifying Influential Spreaders of Epidemics on Community Networks," Journal of Systems Science and Information, De Gruyter, vol. 6(4), pages 366-375, August.
  42. Wang, Min & Li, Wanchun & Guo, Yuning & Peng, Xiaoyan & Li, Yingxiang, 2020. "Identifying influential spreaders in complex networks based on improved k-shell method," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 554(C).
IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.