Computer Science ›› 2022, Vol. 49 ›› Issue (2): 216-222.doi: 10.11896/jsjkx.210100107
• Database & Big Data & Data Science • Previous Articles Next Articles
ZHAO Xue-lei, JI Xin-sheng, LIU Shu-xin, LI Ying-le, LI Hai-tao
CLC Number:
[1]TAN Y,WU J,ZHONG Q.Complex network[J].Journal ofPhysics:Conference Series,2020,1601:032011. [2]FAN T,XIONG S,ZHAO W,et al.Information spread link prediction through multi-layer of social network based on trusted central nodes[J].Peer-to-Peer Networking and Applications,2019,12(5):1028-1040. [3]DZAFERAGIC M,KAMINSKI N,MCBRIDE N,et al.A Functional Complexity Framework for the Analysis of Telecommunication Networks[J].Journal of Complex Networks,2018,6(6):971-988. [4]CANNISTRACI C V,ALANIS-LOBATO G,RAVASI T.Erratum:From Link-Prediction in Brain Connectomes and Protein Interactomes to the Local-Community-Paradigm in Complex Networks:1[J].Scientific Reports,2015,5(1):9794. [5]WANG H,LE Z C,GONG X,et al.Review of Link Prediction Methods Based on Feature Classification[J].Computer Science,2020,47(8):302-312. [6]LÜ L,ZHOU T.Link Prediction in Complex Networks:A Survey[J].Physica A:Statistical Mechanics and Its Applications,2011,390(6):1150-1170. [7]MARTÍNEZ V,BERZAL F,CUBERO J C.A survey of linkprediction in complex networks[J].ACM Computing Surveys (CSUR),2016,49(4):1-33. [8]ZARE H,NIKOOIE M A,MORADI P.Enhanced recommender system using predictive network approach[J].Physica A Statistical Mechanics & Its Applications,2019,520:332-337. [9]LESKOVEC J,HORVITZ E.Planetary-scale views on a large instant-messaging network[C]//Proceedings of the 17th International Conference on World Wide Web.2008:915-924. [10]ZHANG X,ZHAO C,WANG X,et al.Identifying missing and spurious interactions in directed networks[C]//Proceedings of the 9th International Conference on Wireless Algorithms,Systems,and Applications.2014:470-481. [11]SHANG K,SMALL M,YAN W.Link direction for link prediction[J].Physica A:Statistical Mechanics and its Applications,2017,469:767-776. [12]ZHANG Q M,LÜ L,WANG W Q,et al.Potential theory for di-rected networks[J].PloS One,2013,8(2):e55437. [13]LI J,PENG J,LIU S,et al.Link Prediction in Directed Networks Utilizing the Role of Reciprocal Links[J].IEEE Access,2020,8:28668-28680. [14]BÜTÜN E,KAYA M,ALHAJJ R.Extension of Neighbor-Based Link Prediction Methods for Directed,Weighted and Temporal Social Networks[J].Information Sciences,2018,463/464:152-165. [15]PECH R,HAO D,LEE Y L,et al.Link Prediction via Linear Optimization[J].Physica A:Statistical Mechanics and Its Applications,2019,528:121319. [16]LI X,LI P,ZHU Q.Directed Network Representation Method Based on Hierarchical Structure Information[J].Computer Science,2021,48(2):100-104. [17]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(2):046122. [18]WANG K,LIU S X,CHEN H C,et al.A New Link Prediction Method for Complex Networks Based on Resources Carrying Capacity Between Nodes[J].Journal of Electronics and Information Technology,2019,41(5):1225-1234. [19]WANG K,LI X,LAN J L,et al.A New Link Prediction Methodfor Complex Networks Based on Topological Effectiveness of Resource Transmission Paths[J].Journal of Electronics and Information Technology,2020,42(3):653-660. [20]LIU S,JI X,LIU C,et al.Extended Resource Allocation Index for Link Prediction of Complex Network[J].Physica A:Statistical Mechanics and Its Applications,2017,479:174-183. [21]LIU S X,LI X,CHEN H C,et al.Link prediction method based on matching degree of resource transmission for complex network[J].Journal on Communications,2020,41(6):70-79. [22]HANLEY J A,MCNEIL B J.The meaning and use of the area under a receiver operating characteristic (ROC) curve[J].Ra-diology,1982,143(1):29-36. [23]LAWERA M.Predictive Inference:An Introduction[J].Technometrics,1995,37(1):121. [24]KUNEGIS J.KONECT:the Koblenz network collection[C]//International Conference on World Wide Web Companion.ACM,2013:1343-1350. |
[1] | SONG Jie, LIANG Mei-yu, XUE Zhe, DU Jun-ping, KOU Fei-fei. Scientific Paper Heterogeneous Graph Node Representation Learning Method Based onUnsupervised Clustering Level [J]. Computer Science, 2022, 49(9): 64-69. |
[2] | HUANG Li, ZHU Yan, LI Chun-ping. Author’s Academic Behavior Prediction Based on Heterogeneous Network Representation Learning [J]. Computer Science, 2022, 49(9): 76-82. |
[3] | ZHENG Wen-ping, LIU Mei-lin, YANG Gui. Community Detection Algorithm Based on Node Stability and Neighbor Similarity [J]. Computer Science, 2022, 49(9): 83-91. |
[4] | HE Xi, HE Ke-tai, WANG Jin-shan, LIN Shen-wen, YANG Jing-lin, FENG Yu-chao. Analysis of Bitcoin Entity Transaction Patterns [J]. Computer Science, 2022, 49(6A): 502-507. |
[5] | YANG Bo, LI Yuan-biao. Complex Network Analysis on Curriculum System of Data Science and Big Data Technology [J]. Computer Science, 2022, 49(6A): 680-685. |
[6] | WANG Ben-yu, GU Yi-jun, PENG Shu-fan, ZHENG Di-wen. Community Detection Algorithm Based on Dynamic Distance and Stochastic Competitive Learning [J]. Computer Science, 2022, 49(5): 170-178. |
[7] | LI Yong, WU Jing-peng, ZHANG Zhong-ying, ZHANG Qiang. Link Prediction for Node Featureless Networks Based on Faster Attention Mechanism [J]. Computer Science, 2022, 49(4): 43-48. |
[8] | CHEN Shi-cong, YUAN De-yu, HUANG Shu-hua, YANG Ming. Node Label Classification Algorithm Based on Structural Depth Network Embedding Model [J]. Computer Science, 2022, 49(3): 105-112. |
[9] | LI Jia-wen, GUO Bing-hui, YANG Xiao-bo, ZHENG Zhi-ming. Disease Genes Recognition Based on Information Propagation [J]. Computer Science, 2022, 49(1): 264-270. |
[10] | MU Jun-fang, ZHENG Wen-ping, WANG Jie, LIANG Ji-ye. Robustness Analysis of Complex Network Based on Rewiring Mechanism [J]. Computer Science, 2021, 48(7): 130-136. |
[11] | HU Jun, WANG Yu-tong, HE Xin-wei, WU Hui-dong, LI Hui-jia. Analysis and Application of Global Aviation Network Structure Based on Complex Network [J]. Computer Science, 2021, 48(6A): 321-325. |
[12] | WANG Xue-guang, ZHANG Ai-xin, DOU Bing-lin. Non-linear Load Capacity Model of Complex Networks [J]. Computer Science, 2021, 48(6): 282-287. |
[13] | HU Xin-tong, SHA Chao-feng, LIU Yan-jun. Post-processing Network Embedding Algorithm with Random Projection and Principal Component Analysis [J]. Computer Science, 2021, 48(5): 124-129. |
[14] | MA Yuan-yuan, HAN Hua, QU Qian-qian. Importance Evaluation Algorithm Based on Node Intimate Degree [J]. Computer Science, 2021, 48(5): 140-146. |
[15] | YIN Zi-qiao, GUO Bing-hui, MA Shuang-ge, MI Zhi-long, SUN Yi-fan, ZHENG Zhi-ming. Autonomous Structural Adjustment of Crowd Intelligence Network: Begin from Structure of Biological Regulatory Network [J]. Computer Science, 2021, 48(5): 184-189. |
|