[1] |
LÜ L, ZHOU T. Link prediction in complex networks: A survey[J]. Physica A, 2011, 390(6): 1150-1170. |
[2] |
ZHOU T. Progresses and challenges in link prediction[EB/OL]. (2021-02-23). https://arxiv.org/abs/2102.11472. |
[3] |
吕琳媛, 周涛. 链路预测[M]. 北京: 高等教育出版社, 2013. |
LÜ Lin-yuan, ZHOU Tao. Link prediction[M]. Beijing: Higher Education Press, 2013. |
[4] |
吕琳媛. 复杂网络链路预测[J]. 电子科技大学学报, 2010, 39(5): 651-661. |
LÜ Lin-yuan. Link prediction on complex network[J]. Journal of University of Electronic Science and Technology of China, 2010, 39(5): 651-661. |
[5] |
SARUKKAI R R. Link prediction and path analysis using markov chains[J]. Computer Networks, 2000, 33(1-6): 377-386. |
[6] |
CRAVEN M, DIPASQUO D, FREITAG D, et al. Learning to construct knowledge bases from the World Wide Web[J]. Artificial Intelligence, 2000, 118(1-2): 69-113. |
[7] |
AIELLO L M, BARRAT A, SCHIFANELLA R, et al. Friendship prediction and homophily in social media[J]. ACM Transactions on the Web, 2012, 6(2): 9. |
[8] |
CLAUSET A, MOORE C, NEWMAN M E J. Hierarchical structure and the prediction of missing links in networks[J]. Nature, 2008, 453(7191): 98-101. |
[9] |
LIBEN-NOWELL D, KLEINBERG J. The link-prediction problem for social networks[J]. Journal of the American Society for Information Science and Technology, 2007, 58(7): 1019-1031. |
[10] |
BARZEL B, BARABÁSI A L. Network link prediction by global silencing of indirect correlations[J]. Nature Biotechnology, 2013, 31(8): 720-725. |
[11] |
DING H, TAKIGAWA I, MAMITSUKA H, et al. Similarity-based machine learning methods for predicting drug-target interactions: A brief review[J]. Briefings in Bioinformatics, 2014, 15(5): 734-747. |
[12] |
LÜ L, MEDO M, YEUNG C H, et al. Recommender systems[J]. Physics Reports, 2012, 519(1): 1-49. |
[13] |
WANG W Q, ZHANG Q M, ZHOU T. Evaluating network models: A likelihood analysis[J]. Europhysics Letters, 2012, 98(2): 28004. |
[14] |
ZHANG Q M, XU X K, ZHU Y X, et al. Measuring multiple evolution mechanisms of complex networks[J]. Scientific Reports, 2015, 5(1): 10350. |
[15] |
LÜ L, PAN L, ZHOU T, et al. Toward link predictability of complex networks[J]. Proceedings of the National Academy of Sciences, USA, 2015, 112(8): 2325-2330. |
[16] |
SUN J, FENG L, XIE J, et al. Revealing the predictability of intrinsic structure in complex networks[J]. Nature Communications, 2020, 11(1): 574. |
[17] |
XIAN X, WU T, QIAO S, et al. NetSRE: Link predictability measuring and regulating[J]. Knowledge-Based Systems, 2020, 196: 105800. |
[18] |
GUIMERÀ R, SALES-PARDO M. Missing and spurious interactions and the reconstruction of complex networks[J]. Proceedings of the National Academy of Sciences of USA, 2009, 106(52): 22073-22078. |
[19] |
KUMAR A, SINGH S S, SINGH K, et al. Link prediction techniques, applications, and performance: A survey[J]. Physica A, 2020, 553: 124289. |
[20] |
ZHOU T, LÜ L, ZHANG Y C. Predicting missing links via local information[J]. European Physical Journal B, 2009, 71(4): 623-630. |
[21] |
NEVILLE J, JENSEN D. Relational dependency networks[J]. Journal of Machine Learning Research, 2007, 8(3): 653-692. |
[22] |
YU K, CHU W, YU S, et al. Stochastic relational models for discriminative link prediction[C]//Proceedings of the 19th International Conference on Neural Information Processing Systems. Berlin: Springer, 2006: 1553-1560. |
[23] |
WANG C, SATULURI V, PARTHASARATHY S. Local probabilistic models for link prediction[C]//Proceedings of the 7th IEEE International Conference on Data Mining. Washington DC: IEEE Computer Society, 2007: 322-331. |
[24] |
PAN L, ZHOU T, LÜ L, et al. Predicting missing links and identifying spurious links via likelihood analysis[J]. Scientific Reports, 2016, 6(1): 22955. |
[25] |
GROVER A, LESKOVEC J. Node2vec: Scalable feature learning for networks[C]//Proceedings of the 22nd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining. New York: ACM, 2016: 855-864. |
[26] |
TANG J, QU M, WANG M, et al. Line: Large-scale information network embedding[C]//Proceedings of the 24th International Conference on World Wide Web. Florence: ACM, 2015: 1067-1077. |
[27] |
CAO S, LU W, XU Q. Deep neural networks for learning graph representations[C]//Proceedings of the 30th AAAI Conference on Artificial Intelligence. Arizona: AAAI, 2016: 1145-1152. |
[28] |
WANG D, CUI P, ZHU W. Structural deep network embedding[C]//Proceedings of the 22nd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining. New York: ACM, 2016: 1225-1234. |
[29] |
PECH R, HAO D, PAN L, et al. Link prediction via matrix completion[J]. Europhysics Letters, 2017, 117(3): 38002. |
[30] |
BENSON A R, ABEBE R, SCHAUB M T, et al. Simplicial closure and higher-order link prediction[J]. Proceedings of the National Academy of Sciences of USA, 2018, 115(48): E11221-E11230. |
[31] |
GHASEMIAN A, HOSSEINMARDI H, GALSTYAN A, et al. Stacking models for nearly optimal link prediction in complex networks[J]. Proceedings of the National Academy of Sciences of USA, 2020, 117(38): 23393-23400. |
[32] |
MUSCOLONI A, MICHIELI U, CANNISTRACI C V. Adaptive network automata modelling of complex networks[EB/OL]. (2020-12-31). https://www.preprints.org/manuscript/202012.0808/v1. |
[33] |
MARA A C, LIJFFIJT J, DE BIE T. Benchmarking network embedding models for link prediction: Are we making progress?[C]//Proceedings of the 7th International Conference on Data Science and Advanced Analytics. Setubal: IEEE, 2020: 138-147. |
[34] |
ADAMIC L A, ADAR E. Friends and neighbors on the web[J]. Social Networks, 2003, 25(3): 211-230. |
[35] |
OU Q, JIN Y D, ZHOU T, ET AL. Power-law strength-degree correlation from resource-allocation dynamics on weighted networks[J]. Physical Review E, 2007, 75(2): 021102. |
[36] |
ALBERT R, JEONG H, BARABÁSI A-L. Diameter of the world wide web[J]. Nature, 1999, 401(6749): 130-131. |
[37] |
汪小帆. 无标度网络研究纷争: 回顾与评述[J]. 电子科技大学学报, 2020, 49(4): 499-510. |
WANG Xiao-fan. Controversial issues in researches on scale-free networks: An overview with a network perspective[J]. Journal of University of Electronic Science and Technology of China, 2020, 49(4): 499-510. |
[38] |
MCPHERSON M, SMITH-LOVIN L, COOK J M. Birds of a feather: Homophily in social networks[J]. Annual Review of Sociology, 2001, 27(1): 415-444. |
[39] |
OPSAHL T. Triadic closure in two-mode networks: Redefining the global and local clustering coefficients[J]. Social Networks, 2013, 35(2): 159-167. |
[40] |
NEWMAN M E J. Clustering and preferential attachment in growing networks[J]. Physical Review E, 2001, 64(2): 025102. |
[41] |
KOSSINETS G, WATTS D J. Empirical analysis of an evolving social network[J]. Science, 2006, 311(5757): 88-90. |
[42] |
OPSAHL T, PANZARASA P. Clustering in weighted networks[J]. Social Networks, 2009, 31(2): 155-163. |
[43] |
MARTÍNEZ V, BERZAL F, CUBERO J C. A survey of link prediction in complex networks[J]. ACM Computing Surveys, 2016, 49(4): 69. |
[44] |
王凯, 刘树新, 于洪涛, 等. 基于共同邻居有效性的复杂网络链路预测算法[J]. 电子科技大学学报, 2019, 48(3): 432-439. |
WANG Kai, LIU Shu-xin, YU Hong-tao, et al. Predicting missing links of complex network via effective common neighbors[J]. Journal of University of Electronic Science and Technology of China, 2019, 48(3): 432-439. |
[45] |
李治成, 吉立新, 刘树新, 等. 基于拓扑有效连通路径的有向网络链路预测方法[J]. 电子科技大学学报, 2021, 50(1): 127-137. |
LI Zhi-cheng, JI Li-xin, LIU Shu-xin, et al. A method of link prediction in directed network based on effective connectivity path[J]. Journal of University of Electronic Science and Technology of China, 2021, 50(1): 127-137. |
[46] |
SOUNDARAJAN S, HOPCROFT J. Using community information to improve the precision of link prediction methods[C]//Proceedings of the 21st International Conference on World Wide Web. Lyon: ACM, 2012: 607-608. |
[47] |
FIRE M, TENENBOIM-CHEKINA L, PUZIS R, et al. Computationally efficient link prediction in a variety of social networks[J]. ACM Transactions on Intelligent Systems and Technology, 2014, 5(1): 10. |
[48] |
AHN Y Y, BAGROW J P, LEHMANN S. Link communities reveal multiscale complexity in networks[J]. Nature, 2010, 466(7307): 761-764. |
[49] |
CANNISTRACI C V, ALANIS-LOBATO G, RAVASI T. From link-prediction in brain connectomes and protein interactomes to the local-community-paradigm in complex networks[J]. Scientific Reports, 2013, 3(1): 1613. |
[50] |
DONG Y, KE Q, WANG B, et al. Link prediction based on local information[C]//Proceedings of the 2011 International Conference on Advances in Social Networks Analysis and Mining. Kaohsiung: IEEE Computer Society, 2011: 382-386. |
[51] |
HEBB D O. The organization of behavior: A neuropsychological theory[M]. London: Psychology Press, 2005. |
[52] |
MUSCOLONI A, ABDELHAMID I, CANNISTRACI C V. Local-community network automata modelling based on length-three-paths for prediction of complex network structures in protein interactomes, food webs and more[EB/OL]. (2018-06-18). https://doi.org/10.1101/346916. |
[53] |
CHRISTAKIS N A, FOWLER J H. The spread of obesity in a large social network over 32 years[J]. New England Journal of Medicine, 2007, 357(4): 370-379. |
[54] |
CHRISTAKIS N A, FOWLER J H. The collective dynamics of smoking in a large social network[J]. New England Journal of Medicine, 2008, 358(21): 2249-2258. |
[55] |
KATZ L. A new status index derived from sociometric analysis[J]. Psychometrika, 1953, 18(1): 39-43. |
[56] |
LÜ L, JIN C H, ZHOU T. Similarity index based on local paths for link prediction of complex networks[J]. Physical Review E, 2009, 80(4): 046122. |
[57] |
PECH R, HAO D, LEE Y L, et al. Link prediction via linear optimization[J]. Physica A, 2019, 528: 121319. |
[58] |
KOVÁCS I A, LUCK K, SPIROHN K, et al. Network-based prediction of protein interactions[J]. Nature Communications, 2019, 10(1): 1240. |
[59] |
ZHOU T, LEE Y L, WANG G. Experimental analyses on 2-hop-based and 3-hop-based link prediction algorithms[J]. Physica A, 2021, 564: 125532. |
[60] |
王文强, 张千明. 链路预测的网络演化模型评价方法[J]. 电子科技大学学报, 2011, 40(2): 174-179. |
WANG Wen-qiang, ZHANG Qian-ming. New method of assessing network evolving models based on link prediction[J]. Journal of University of Electronic Science and Technology of China, 2011, 40(2): 174-179. |