IDEAS home Printed from https://ideas.repec.org/r/bla/jamist/v58y2007i7p1019-1031.html

The link‐prediction problem for social networks

Citations

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


Cited by:

  1. Guilherme T Valente & Marcio L Acencio & Cesar Martins & Ney Lemke, 2013. "The Development of a Universal In Silico Predictor of Protein-Protein Interactions," PLOS ONE, Public Library of Science, vol. 8(5), pages 1-11, May.
  2. Tong Huang & Lihua Zhou & Kevin Lü & Lizhen Wang & Hongmei Chen & Guowang Du, 2025. "An Empirical Evaluation of Algorithms for Link Prediction," Information Systems Frontiers, Springer, vol. 27(1), pages 347-365, February.
  3. Lee, Yan-Li & Dong, Qiang & Zhou, Tao, 2021. "Link prediction via controlling the leading eigenvector," Applied Mathematics and Computation, Elsevier, vol. 411(C).
  4. Jeong, Yujin & Park, Inchae & Yoon, Byungun, 2019. "Identifying emerging Research and Business Development (R&BD) areas based on topic modeling and visualization with intellectual property right data," Technological Forecasting and Social Change, Elsevier, vol. 146(C), pages 655-672.
  5. Chun Gui, 2024. "Link prediction based on spectral analysis," PLOS ONE, Public Library of Science, vol. 19(1), pages 1-22, January.
  6. Zhen Liu & Jia-Lin He & Komal Kapoor & Jaideep Srivastava, 2013. "Correlations between Community Structure and Link Formation in Complex Networks," PLOS ONE, Public Library of Science, vol. 8(9), pages 1-10, September.
  7. Chen, Guangfu & Xu, Chen & Wang, Jingyi & Feng, Jianwen & Feng, Jiqiang, 2020. "Robust non-negative matrix factorization for link prediction in complex networks using manifold regularization and sparse learning," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 539(C).
  8. Yuliansyah, Herman & Othman, Zulaiha Ali & Bakar, Azuraliza Abu, 2023. "A new link prediction method to alleviate the cold-start problem based on extending common neighbor and degree centrality," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 616(C).
  9. Qi Yu & Chao Long & Yanhua Lv & Hongfang Shao & Peifeng He & Zhiguang Duan, 2014. "Predicting Co-Author Relationship in Medical Co-Authorship Networks," PLOS ONE, Public Library of Science, vol. 9(7), pages 1-7, July.
  10. Xu, Ying, 2020. "A spectral method to detect community structure based on the communicability modularity," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 537(C).
  11. Xiaoyu Liu & Xuefeng Wang & Donghua Zhu, 2022. "Reviewer recommendation method for scientific research proposals: a case for NSFC," Scientometrics, Springer;Akadémiai Kiadó, vol. 127(6), pages 3343-3366, June.
  12. Bhattacharjee, Biplab & Kumar, Rajiv & Senthilkumar, Arunachalam, 2022. "Unidirectional and bidirectional LSTM models for edge weight predictions in dynamic cross-market equity networks," International Review of Financial Analysis, Elsevier, vol. 84(C).
  13. 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.
  14. Huang, Lu & Chen, Xiang & Ni, Xingxing & Liu, Jiarun & Cao, Xiaoli & Wang, Changtian, 2021. "Tracking the dynamics of co-word networks for emerging topic identification," Technological Forecasting and Social Change, Elsevier, vol. 170(C).
  15. Liat Ayalon & Inbal Yahav, 2019. "Location, location, location: Close ties among older continuing care retirement community residents," PLOS ONE, Public Library of Science, vol. 14(11), pages 1-17, November.
  16. Yifei Zhou & Shaoyong Li & Yaping Liu, 2020. "Graph-based Method for App Usage Prediction with Attributed Heterogeneous Network Embedding," Future Internet, MDPI, vol. 12(3), pages 1-16, March.
  17. Kexin Yin & Xiao Fang & Bintong Chen & Olivia R. Liu Sheng, 2023. "Diversity Preference-Aware Link Recommendation for Online Social Networks," Information Systems Research, INFORMS, vol. 34(4), pages 1398-1414, December.
  18. Junya Wang & Yi-Jiao Zhang & Cong Xu & Jiaze Li & Jiachen Sun & Jiarong Xie & Ling Feng & Tianshou Zhou & Yanqing Hu, 2024. "Reconstructing the evolution history of networked complex systems," Nature Communications, Nature, vol. 15(1), pages 1-11, December.
  19. Qiaoran Yang & Zhiliang Dong & Yichi Zhang & Man Li & Ziyi Liang & Chao Ding, 2021. "Who Will Establish New Trade Relations? Looking for Potential Relationship in International Nickel Trade," Sustainability, MDPI, vol. 13(21), pages 1-15, October.
  20. Yi Cen & Rentao Gu & Yuefeng Ji, 2013. "Sign Inference for Dynamic Signed Networks via Dictionary Learning," Journal of Applied Mathematics, John Wiley & Sons, vol. 2013(1).
  21. Chengjun Zhang & Jin Liu & Yanzhen Qu & Tianqi Han & Xujun Ge & An Zeng, 2018. "Enhancing the robustness of recommender systems against spammers," PLOS ONE, Public Library of Science, vol. 13(11), pages 1-14, November.
  22. Taalbi, Josef, 2020. "Evolution and structure of technological systems - An innovation output network," Research Policy, Elsevier, vol. 49(8).
  23. Karimi, Fatemeh & Lotfi, Shahriar & Izadkhah, Habib, 2021. "Community-guided link prediction in multiplex networks," Journal of Informetrics, Elsevier, vol. 15(4).
  24. Nora Connor & Albert Barberán & Aaron Clauset, 2017. "Using null models to infer microbial co-occurrence networks," PLOS ONE, Public Library of Science, vol. 12(5), pages 1-23, May.
  25. Austin Polanco & Mark E J Newman, 2025. "Drug-disease networks and drug repurposing," PLOS Computational Biology, Public Library of Science, vol. 21(10), pages 1-19, October.
  26. Liu, Zhenfeng & Feng, Jian & Uden, Lorna, 2023. "Technology opportunity analysis using hierarchical semantic networks and dual link prediction," Technovation, Elsevier, vol. 128(C).
  27. Aslan, Serpil & Kaya, Buket & Kaya, Mehmet, 2019. "Predicting potential links by using strengthened projections in evolving bipartite networks," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 525(C), pages 998-1011.
  28. Belik, Ivan & Knudsen, Eirik Sjåholm, 2023. "Link on, Link off: Data-driven management of organizational networks for ambidexterity," Journal of Business Research, Elsevier, vol. 157(C).
  29. Hanbaek Lyu & Yacoub H. Kureh & Joshua Vendrow & Mason A. Porter, 2024. "Learning low-rank latent mesoscale structures in networks," Nature Communications, Nature, vol. 15(1), pages 1-15, December.
  30. Bin Chen & Ying Ding & David J Wild, 2012. "Assessing Drug Target Association Using Semantic Linked Data," PLOS Computational Biology, Public Library of Science, vol. 8(7), pages 1-10, July.
  31. Kim, Juram & Kim, Seungho & Lee, Changyong, 2019. "Anticipating technological convergence: Link prediction using Wikipedia hyperlinks," Technovation, Elsevier, vol. 79(C), pages 25-34.
  32. Leto Peel & Tiago P. Peixoto & Manlio De Domenico, 2022. "Statistical inference links data and theory in network science," Nature Communications, Nature, vol. 13(1), pages 1-15, December.
  33. Bütün, Ertan & Kaya, Mehmet, 2019. "A pattern based supervised link prediction in directed complex networks," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 525(C), pages 1136-1145.
  34. Sanda Martinčić-Ipšić & Edvin Močibob & Matjaž Perc, 2017. "Link prediction on Twitter," PLOS ONE, Public Library of Science, vol. 12(7), pages 1-21, July.
  35. Giorgos Stamatelatos & George Drosatos & Sotirios Gyftopoulos & Helen Briola & Pavlos S. Efraimidis, 2021. "Point-of-interest lists and their potential in recommendation systems," Information Technology & Tourism, Springer, vol. 23(2), pages 209-239, June.
  36. Park, Inchae & Yoon, Byungun, 2018. "Technological opportunity discovery for technological convergence based on the prediction of technology knowledge flow in a citation network," Journal of Informetrics, Elsevier, vol. 12(4), pages 1199-1222.
  37. Vivek F. Farias & Andrew A. L, 2019. "Learning Preferences with Side Information," Management Science, INFORMS, vol. 65(7), pages 3131-3149, July.
  38. Assouli, Nora & Benahmed, Khelifa & Gasbaoui, Brahim, 2021. "How to predict crime — informatics-inspired approach from link prediction," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 570(C).
  39. Quispe, Laura V.C. & Tohalino, Jorge A.V. & Amancio, Diego R., 2021. "Using virtual edges to improve the discriminability of co-occurrence text networks," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 562(C).
  40. Tofighy, Sajjad & Charkari, Nasrollah Moghadam & Ghaderi, Foad, 2022. "Link prediction in multiplex networks using intralayer probabilistic distance and interlayer co-evolving factors," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 606(C).
  41. Tad Dallas & Andrew W Park & John M Drake, 2017. "Predicting cryptic links in host-parasite networks," PLOS Computational Biology, Public Library of Science, vol. 13(5), pages 1-15, May.
  42. Fan, Cheng & Xiao, Fu & Song, Mengjie & Wang, Jiayuan, 2019. "A graph mining-based methodology for discovering and visualizing high-level knowledge for building energy management," Applied Energy, Elsevier, vol. 251(C), pages 1-1.
  43. Jinseok Kim & Jana Diesner, 2019. "Formational bounds of link prediction in collaboration networks," Scientometrics, Springer;Akadémiai Kiadó, vol. 119(2), pages 687-706, May.
  44. Zhou, Tao & Lee, Yan-Li & Wang, Guannan, 2021. "Experimental analyses on 2-hop-based and 3-hop-based link prediction algorithms," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 564(C).
  45. Jiao, Yang & Wu, Jianshe & Xiang, Peng & Wang, Fang, 2023. "Link prediction from fusion information," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 618(C).
  46. Lifu Wang & Yali Zhang & Jingxiao Han & Zhi Kong, 2018. "Quantitative Controllability Index of Complex Networks," Advances in Mathematical Physics, John Wiley & Sons, vol. 2018(1).
  47. Maria-Evgenia G Rossi & Bowen Shi & Nikolaos Tziortziotis & Fragkiskos D Malliaros & Christos Giatsidis & Michalis Vazirgiannis, 2018. "MATI: An efficient algorithm for influence maximization in social networks," PLOS ONE, Public Library of Science, vol. 13(11), pages 1-21, November.
  48. Wang, Jun & Zhang, Qian-Ming & Zhou, Tao, 2019. "Tag-aware link prediction algorithm in complex networks," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 523(C), pages 105-111.
  49. Joon Hyung Cho & Jungpyo Lee & So Young Sohn, 2021. "Predicting future technological convergence patterns based on machine learning using link prediction," Scientometrics, Springer;Akadémiai Kiadó, vol. 126(7), pages 5413-5429, July.
  50. Zhao, Yunpeng, 2022. "Network inference from temporally dependent grouped observations," Computational Statistics & Data Analysis, Elsevier, vol. 171(C).
  51. Rafiee, Samira & Salavati, Chiman & Abdollahpouri, Alireza, 2020. "CNDP: Link prediction based on common neighbors degree penalization," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 539(C).
  52. Fei Tan & Yongxiang Xia & Boyao Zhu, 2014. "Link Prediction in Complex Networks: A Mutual Information Perspective," PLOS ONE, Public Library of Science, vol. 9(9), pages 1-8, September.
  53. Giulio Biondi & Valentina Franzoni, 2020. "Discovering Correlation Indices for Link Prediction Using Differential Evolution," Mathematics, MDPI, vol. 8(11), pages 1-10, November.
  54. Bikramjit Das & Tiandong Wang & Gengling Dai, 2022. "Asymptotic Behavior of Common Connections in Sparse Random Networks," Methodology and Computing in Applied Probability, Springer, vol. 24(3), pages 2071-2092, September.
  55. Yong Huang & Zhong Wang & Heng Zhao & Di You & Wei Wang & Yanran Peng, 2025. "Spatial Association Network of Land-Use Carbon Emissions in Hubei Province: Network Characteristics, Carbon Balance Zoning, and Influencing Factors," Land, MDPI, vol. 14(7), pages 1-31, June.
  56. Davazdahemami, Behrooz & Kalgotra, Pankush & Zolbanin, Hamed M. & Delen, Dursun, 2023. "A developer-oriented recommender model for the app store: A predictive network analytics approach," Journal of Business Research, Elsevier, vol. 158(C).
  57. Haizheng Zhang & Baojun Qiu & Kristinka Ivanova & C. Lee Giles & Henry C. Foley & John Yen, 2010. "Locality and attachedness‐based temporal social network growth dynamics analysis: A case study of evolving nanotechnology scientific collaboration networks," Journal of the American Society for Information Science and Technology, Association for Information Science & Technology, vol. 61(5), pages 964-977, May.
  58. Xie He & Amir Ghasemian & Eun Lee & Aaron Clauset & Peter J. Mucha, 2024. "Sequential stacking link prediction algorithms for temporal networks," Nature Communications, Nature, vol. 15(1), pages 1-15, December.
  59. Waleed Reafee & Naomie Salim & Atif Khan, 2016. "The Power of Implicit Social Relation in Rating Prediction of Social Recommender Systems," PLOS ONE, Public Library of Science, vol. 11(5), pages 1-20, May.
  60. Zhou, Yinzuo & Chen, Weilun & Zou, Huangrong, 2025. "A link prediction algorithm based on support vector machine," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 673(C).
  61. Lv, Laishui & Bardou, Dalal & Hu, Peng & Liu, Yanqiu & Yu, Gaohang, 2022. "Graph regularized nonnegative matrix factorization for link prediction in directed temporal networks using PageRank centrality," Chaos, Solitons & Fractals, Elsevier, vol. 159(C).
  62. Wu, Ke & Liu, Xueming, 2021. "Community detection in directed acyclic graphs of adversary interactions," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 584(C).
  63. Xiaowen Xi & Jiaqi Wei & Ying Guo & Weiyu Duan, 2022. "Academic collaborations: a recommender framework spanning research interests and network topology," Scientometrics, Springer;Akadémiai Kiadó, vol. 127(11), pages 6787-6808, November.
  64. Lingling Zhang & Jing Li & Qiuliu Zhang & Fan Meng & Weili Teng, 2019. "Domain Knowledge-Based Link Prediction in Customer-Product Bipartite Graph for Product Recommendation," International Journal of Information Technology & Decision Making (IJITDM), World Scientific Publishing Co. Pte. Ltd., vol. 18(01), pages 311-338, January.
  65. Zhao, Runbo & Wei, Wanying & Zhu, Zijian, 2025. "Discovering firm technology opportunities by machine learning prediction method based on firm's technology portfolio," Technological Forecasting and Social Change, Elsevier, vol. 221(C).
  66. Zhang, Ting & Zhang, Kun & Li, Xun & Lv, Laishui & Sun, Qi, 2021. "Semi-supervised link prediction based on non-negative matrix factorization for temporal networks," Chaos, Solitons & Fractals, Elsevier, vol. 145(C).
  67. Yan Qi & Xin Zhang & Zhengyin Hu & Bin Xiang & Ran Zhang & Shu Fang, 2022. "Choosing the right collaboration partner for innovation: a framework based on topic analysis and link prediction," Scientometrics, Springer;Akadémiai Kiadó, vol. 127(9), pages 5519-5550, September.
  68. Shugang Li & Ziming Wang & Beiyan Zhang & Boyi Zhu & Zhifang Wen & Zhaoxu Yu, 2022. "The Research of “Products Rapidly Attracting Users” Based on the Fully Integrated Link Prediction Algorithm," Mathematics, MDPI, vol. 10(14), pages 1-19, July.
  69. Wan, Shuyan & Bi, Yilin & Jiao, Xinshan & Zhou, Tao, 2025. "Quantifying discriminability of evaluation metrics in link prediction for real networks," Chaos, Solitons & Fractals, Elsevier, vol. 199(P3).
  70. Dennis Essers & Francesco Grigoli & Evgenia Pugacheva, 2022. "Network effects and research collaborations: evidence from IMF Working Paper co-authorship," Scientometrics, Springer;Akadémiai Kiadó, vol. 127(12), pages 7169-7192, December.
  71. Byungun Yoon & Songhee Kim & Sunhye Kim & Hyeonju Seol, 2022. "Doc2vec-based link prediction approach using SAO structures: application to patent network," Scientometrics, Springer;Akadémiai Kiadó, vol. 127(9), pages 5385-5414, September.
  72. Ding, Rui & Ujang, Norsidah & Hamid, Hussain bin & Manan, Mohd Shahrudin Abd & He, Yuou & Li, Rong & Wu, Jianjun, 2018. "Detecting the urban traffic network structure dynamics through the growth and analysis of multi-layer networks," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 503(C), pages 800-817.
  73. Nikolaos Nakis & Sune Lehmann & Nicholas A. Christakis & Morten Mørup, 2026. "Modeling roles and trade-offs in multiplex networks," Nature Communications, Nature, vol. 17(1), pages 1-12, December.
  74. Douglas Castilho & Tharsis T. P. Souza & Soong Moon Kang & Jo~ao Gama & Andr'e C. P. L. F. de Carvalho, 2021. "Forecasting Financial Market Structure from Network Features using Machine Learning," Papers 2110.11751, arXiv.org.
  75. Kai Yang & Yuan Liu & Zijuan Zhao & Xingxing Zhou & Peijin Ding, 2023. "Graph attention network via node similarity for link prediction," The European Physical Journal B: Condensed Matter and Complex Systems, Springer;EDP Sciences, vol. 96(3), pages 1-10, March.
  76. Yueran Duan & Qing Guan, 2021. "Predicting potential knowledge convergence of solar energy: bibliometric analysis based on link prediction model," Scientometrics, Springer;Akadémiai Kiadó, vol. 126(5), pages 3749-3773, May.
  77. U Martin Singh-Blom & Nagarajan Natarajan & Ambuj Tewari & John O Woods & Inderjit S Dhillon & Edward M Marcotte, 2013. "Prediction and Validation of Gene-Disease Associations Using Methods Inspired by Social Network Analyses," PLOS ONE, Public Library of Science, vol. 8(5), pages 1-17, May.
  78. 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.
  79. Oscar Contreras-Velasco & Nathan P. Jones & Daniel Weisz Argomedo & John P. Sullivan & Chris Callaghan, 2025. "Uncovering hidden alliances in organized crime networks with machine learning: from node similarity to graph neural networks," Journal of Computational Social Science, Springer, vol. 8(4), pages 1-25, November.
  80. Seunghyun Oh & Jaewoong Choi & Namuk Ko & Janghyeok Yoon, 2020. "Predicting product development directions for new product planning using patent classification-based link prediction," Scientometrics, Springer;Akadémiai Kiadó, vol. 125(3), pages 1833-1876, December.
  81. Nishant Malik & David Spencer & Quang Neo Bui, 2021. "Power in the U.S. political economy: A network analysis," Journal of the Association for Information Science & Technology, Association for Information Science & Technology, vol. 72(7), pages 811-823, July.
  82. Chie Hoon Song, 2021. "Exploring and Predicting the Knowledge Development in the Field of Energy Storage: Evidence from the Emerging Startup Landscape," Energies, MDPI, vol. 14(18), pages 1-20, September.
  83. Lang Chai & Rui Huang, 2025. "Link prediction of heterogeneous complex networks based on an improved embedding learning algorithm," PLOS ONE, Public Library of Science, vol. 20(1), pages 1-20, January.
  84. Akrati Saxena & George Fletcher & Mykola Pechenizkiy, 2022. "HM-EIICT: Fairness-aware link prediction in complex networks using community information," Journal of Combinatorial Optimization, Springer, vol. 44(4), pages 2853-2870, November.
  85. Chen, Weilun & Zou, Huangrong & Zhou, Yinzuo, 2025. "A link prediction algorithm based on convolutional neural network," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 678(C).
  86. Najari, Shaghayegh & Salehi, Mostafa & Ranjbar, Vahid & Jalili, Mahdi, 2019. "Link prediction in multiplex networks based on interlayer similarity," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 536(C).
  87. Changping Zhao & Xinli Qi & Jin Wang & Fengyang Du & Xiaolan Shi, 2022. "Predicting Possible New Links to Future Global Plastic Waste Trade Networks," Sustainability, MDPI, vol. 14(8), pages 1-22, April.
  88. repec:plo:pone00:0081727 is not listed on IDEAS
  89. Jian Shu & Qifan Chen & Linlan Liu & Lei Xu, 2017. "A link prediction approach based on deep learning for opportunistic sensor network," International Journal of Distributed Sensor Networks, , vol. 13(4), pages 15501477177, April.
  90. Xu, Hua & Wang, Minggang & Jiang, Shumin & Yang, Weiguo, 2020. "Carbon price forecasting with complex network and extreme learning machine," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 545(C).
  91. Hao Liao & Xiao-Min Huang & Xing-Tong Wu & Ming-Kai Liu & Alexandre Vidmer & Mingyang Zhou & Yi-Cheng Zhang, 2019. "Enhancing countries' fitness with recommender systems on the international trade network," Papers 1904.02412, arXiv.org.
  92. Mungo, Luca & Lafond, François & Astudillo-Estévez, Pablo & Farmer, J. Doyne, 2023. "Reconstructing production networks using machine learning," Journal of Economic Dynamics and Control, Elsevier, vol. 148(C).
  93. Park, Ji Hwan & Chang, Woojin & Song, Jae Wook, 2020. "Link prediction in the Granger causality network of the global currency market," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 553(C).
  94. Andreas Spitz & Anna Gimmler & Thorsten Stoeck & Katharina Anna Zweig & Emőke-Ágnes Horvát, 2016. "Assessing Low-Intensity Relationships in Complex Networks," PLOS ONE, Public Library of Science, vol. 11(4), pages 1-17, April.
  95. Aaldering, Lukas Jan & Leker, Jens & Song, Chie Hoon, 2019. "Uncovering the dynamics of market convergence through M&A," Technological Forecasting and Social Change, Elsevier, vol. 138(C), pages 95-114.
  96. Kaufman, Miron & Diep, Hung T. & Kaufman, Sanda, 2019. "Sociophysics of intractable conflicts: Three-group dynamics," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 517(C), pages 175-187.
  97. Lei Wang & Shuo Yu & Falih Gozi Febrinanto & Fayez Alqahtani & Tarek E. El-Tobely, 2022. "Fairness-Aware Predictive Graph Learning in Social Networks," Mathematics, MDPI, vol. 10(15), pages 1-19, July.
  98. Yuliansyah, Herman & Othman, Zulaiha Ali & Bakar, Azuraliza Abu, 2025. "Co-authorship prediction method based on degree of gravity and article keywords similarity," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 665(C).
  99. Chunning Wang & Fengqin Tang & Xuejing Zhao, 2023. "LPGRI: A Global Relevance-Based Link Prediction Approach for Multiplex Networks," Mathematics, MDPI, vol. 11(14), pages 1-15, July.
  100. Xie He & Amir Ghasemian & Eun Lee & Alice C Schwarze & Aaron Clauset & Peter J Mucha, 2024. "Link prediction accuracy on real-world networks under non-uniform missing-edge patterns," PLOS ONE, Public Library of Science, vol. 19(7), pages 1-17, July.
  101. Wang, Feifei & Dong, Jiaxin & Lu, Wanzhao & Xu, Shuo, 2023. "Collaboration prediction based on multilayer all-author tripartite citation networks: A case study of gene editing," Journal of Informetrics, Elsevier, vol. 17(1).
  102. Choi, Jaewoong & Lee, Changyong & Yoon, Janghyeok, 2023. "Exploring a technology ecology for technology opportunity discovery: A link prediction approach using heterogeneous knowledge graphs," Technological Forecasting and Social Change, Elsevier, vol. 186(PB).
  103. Chen, Xing & Wu, Tao & Xian, Xingping & Wang, Chao & Yuan, Ye & Ming, Guannan, 2020. "Enhancing robustness of link prediction for noisy complex networks," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 555(C).
  104. Guan-Nan Wang & Hui Gao & Lian Chen & Dennis N A Mensah & Yan Fu, 2015. "Predicting Positive and Negative Relationships in Large Social Networks," PLOS ONE, Public Library of Science, vol. 10(6), pages 1-14, June.
  105. Lee, Yan-Li & Zhou, Tao, 2021. "Collaborative filtering approach to link prediction," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 578(C).
  106. Lu Huang & Xiang Chen & Yi Zhang & Yihe Zhu & Suyi Li & Xingxing Ni, 2021. "Dynamic network analytics for recommending scientific collaborators," Scientometrics, Springer;Akadémiai Kiadó, vol. 126(11), pages 8789-8814, November.
  107. Li, Dong & Wang, Wei & Jin, Changlong & Ma, Jun & Sun, Xin & Xu, Zhiming & Li, Sheng & Liu, Jiming, 2019. "User recommendation for promoting information diffusion in social networks," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 534(C).
  108. Greg Morrison & L Mahadevan, 2012. "Discovering Communities through Friendship," PLOS ONE, Public Library of Science, vol. 7(7), pages 1-9, July.
  109. Zare, Hadi & Nikooie Pour, Mina Abd & Moradi, Parham, 2019. "Enhanced recommender system using predictive network approach," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 520(C), pages 322-337.
  110. Yu, Jiating & Wu, Ling-Yun, 2022. "Multiple Order Local Information model for link prediction in complex networks," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 600(C).
  111. Wahid-Ul-Ashraf, Akanda & Budka, Marcin & Musial, Katarzyna, 2019. "How to predict social relationships — Physics-inspired approach to link prediction," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 523(C), pages 1110-1129.
  112. Zhou, Tao, 2023. "Discriminating abilities of threshold-free evaluation metrics in link prediction," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 615(C).
  113. Inoue, Masaaki & Pham, Thong & Shimodaira, Hidetoshi, 2020. "Joint estimation of non-parametric transitivity and preferential attachment functions in scientific co-authorship networks," Journal of Informetrics, Elsevier, vol. 14(3).
  114. Cai, Wenbo & Chang, Xingzhi & Yang, Ping, 2024. "Link prediction in multilayer social networks using reliable local random walk and boosting ensemble classifier," Chaos, Solitons & Fractals, Elsevier, vol. 188(C).
  115. Ankita Singh & Nanhay Singh, 2022. "An approach for predicting missing links in social network using node attribute and path information," International Journal of System Assurance Engineering and Management, Springer;The Society for Reliability, Engineering Quality and Operations Management (SREQOM),India, and Division of Operation and Maintenance, Lulea University of Technology, Sweden, vol. 13(2), pages 944-956, April.
  116. Fan Zhou & Kunpeng Zhang & Bangying Wu & Yi Yang & Harry Jiannan Wang, 2021. "Unifying Online and Offline Preference for Social Link Prediction," INFORMS Journal on Computing, INFORMS, vol. 33(4), pages 1400-1418, October.
  117. Chunjiang Liu & Yikun Han & Haiyun Xu & Shihan Yang & Kaidi Wang & Yongye Su, 2024. "A Community Detection and Graph-Neural-Network-Based Link Prediction Approach for Scientific Literature," Mathematics, MDPI, vol. 12(3), pages 1-20, January.
IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.