1. A neural diffusion model for identifying influential nodes in complex networks. (2024). Wang, Bang ; Ahmad, Waseem.
   In: Chaos, Solitons & Fractals.
   RePEc:eee:chsofr:v:189:y:2024:i:p1:s0960077924012347.

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2. Improved information diffusion models based on a new two-sided sign-aware matching framework in complex networks. (2024). Mohammadi, Sohameh ; Nadimi-Shahraki, Mohammad H ; Zamanifar, Kamran ; Beheshti, Zahra.
   In: Chaos, Solitons & Fractals.
   RePEc:eee:chsofr:v:187:y:2024:i:c:s0960077924008506.

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1. Ai, J. ; He, T. ; Su, Z. ; Shang, L. Identifying influential nodes in complex networks based on spreading probability. 2022 Chaos, Solitons Fractals. 164 -
   Paper not yet in RePEc: Add citation now
   

2. Ai, J. ; He, T. ; Su, Z. ; Shang, L. Identifying influential nodes in complex networks based on spreading probability. 2022 Chaos, Solitons Fractals. 164 -

3. Allard, A. ; Serrano, M.Á. ; Boguñá, M. Geometric description of clustering in directed networks. 2023 Nat Phys. -
   Paper not yet in RePEc: Add citation now
   
4. Alshahrani, M. ; Fuxi, Z. ; Sameh, A. ; Mekouar, S. ; Huang, S. Efficient algorithms based on centrality measures for identification of top-K influential users in social networks. 2020 Inform Sci. 527 88-107
   Paper not yet in RePEc: Add citation now
   
5. Asgharian, Rezaei A. ; Munoz, J. ; Jalili, M. ; Khayyam, H. A machine learning-based approach for vital node identification in complex networks. 2023 Expert Syst Appl. 214 -
   Paper not yet in RePEc: Add citation now
   
6. Batagelj, V. ; Mrvar, A. A density based approaches to network analysis: Analysis of Reuters terror news network. 2003 En : Ninth annual ACM SIGKDD, Washington, D.C. :
   Paper not yet in RePEc: Add citation now
   
7. Batagelj, V. ; Mrvar, A. ; Zavešnik, M. Network analysis of texts. 2002 En : Language technologies, Ljubljana. :
   Paper not yet in RePEc: Add citation now
   

8. Bian, T. ; Hu, J. ; Deng, Y. Identifying influential nodes in complex networks based on AHP. 2017 Physica A. 479 422-436

9. Bovet, A. ; Makse, H.A. Influence of fake news in Twitter during the 2016 US presidential election. 2019 Nat Commun. 10 7-

10. Chatterjee A, Manohar M, Ramadurai G. Statistical analysis of bus networks in India 2016; PloS ONE 11(12): e0168478. doi:https://doi.org/10.1371/journal.pone.0168478.
    Paper not yet in RePEc: Add citation now
    
11. Chen, D.-B. ; Xiao, R. ; Zeng, A. ; Zhang, Y.-C. Path diversity improves the identification of influential spreaders. 2013 Europhys Lett. 104 -
    Paper not yet in RePEc: Add citation now
    
12. Christakis, N.-A. ; Fowler, J.-H. Social contagion theory: examining dynamic social networks and human behavior. 2012 Stat Med. 32 556-577
    Paper not yet in RePEc: Add citation now
    
13. Du, Y. ; Gao, C. ; Chen, X. ; Hu, Y. ; Sadiq, R. ; Deng, Y. A new closeness centrality measure via effective distance in complex networks. 2015 Chaos Interdiscip J Nonlinear Sci. 25 -
    Paper not yet in RePEc: Add citation now
    
14. Dunne, J.A. ; Labandeira, C.C. ; Williams, R.J. Highly resolved early Eocene food webs show development of modern trophic structure after the end-cretaceous extinction. 2014 Proc R Soc B: Biol Sci. 281 -
    Paper not yet in RePEc: Add citation now
    

15. Fink, C.G. ; Fullin, K. ; Gutierrez, G. ; Omodt, N. ; Zinnecker, S. ; Sprint, G. A centrality measure for quantifying spread on weighted, directed networks. 2023 Physica A. 626 -

16. Freeman, L.C. A set of measures of centrality based on betweenness. 1977 Sociometry. 40 35-
    Paper not yet in RePEc: Add citation now
    
17. Freeman, L.C. Centrality in social networks conceptual clarification. 1978 Soc Netw. 1 215-239
    Paper not yet in RePEc: Add citation now
    
18. Granovetter, M. Threshold models of collective behavior. 1978 Am J Sociol. 83 1420-1443
    Paper not yet in RePEc: Add citation now
    
19. Guo, F. ; Wang, Z. ; Ji, S. ; Lu, Q. Influential nodes identification in the air pollution spatial correlation weighted networks and collaborative governance: taking China’s three urban agglomerations as examples. 2022 IJERPH. 19 4461-
    Paper not yet in RePEc: Add citation now
    
20. Hosni, A.I.E. ; Li, K. ; Ahmad, S. Minimizing rumor influence in multiplex online social networks based on human individual and social behaviors. 2020 Inform Sci. 512 1458-1480
    Paper not yet in RePEc: Add citation now
    
21. Jiang, C. ; Liu, X. ; Zhang, J. ; Yu, X. Compact models for influential nodes identification problem in directed networks. 2020 Chaos Interdiscip J Nonlinear Sci. 30 -
    Paper not yet in RePEc: Add citation now
    
22. Kitsak M, Gallos L. K, Havlin S, Liljeros F, Muchnik L, Stanley H. E, Makse H. A. Identification of influential spreaders in complex networks. Nat Phys 2010; 6(11): 888–893. doi:https://doi.org/10.1038/nphys1746.
    Paper not yet in RePEc: Add citation now
    
23. Kitsak, M. ; Gallos, L.K. ; Havlin, S. ; Liljeros, F. ; Muchnik, L. ; Stanley, H.E. Identification of influential spreaders in complex networks. 2010 Nat Phys. 6 888-893
    Paper not yet in RePEc: Add citation now
    
24. Kleinberg, J.M. Authoritative sources in a hyperlinked environment. 1999 J ACM. 46 604-632
    Paper not yet in RePEc: Add citation now
    
25. Kou, J. ; Jia, P. ; Liu, J. ; Dai, J. ; Luo, H. Identify influential nodes in social networks with graph multi-head attention regression model. 2023 Neurocomputing. 530 23-36
    Paper not yet in RePEc: Add citation now
    
26. Kumar S, Spezzano F, Subrahmanian V.S, Faloutsos C. Edge weight prediction in weighted signed networks. IEEE 16th international conference on data mining (ICDM) 2016; 221–230. doi:https://doi.org/10.1109/ICDM.2016.0033.
    Paper not yet in RePEc: Add citation now
    
27. Kumar, S. ; Panda, A. Identifying influential nodes in weighted complex networks using an improved WVoteRank approach. 2022 Appl Intell. 52 1838-1852
    Paper not yet in RePEc: Add citation now
    
28. Li, L. ; Liu, Y. ; Zhou, Q. ; Yang, W. ; Yuan, J. Targeted influence maximization under a multifactor-based information propagation model. 2020 Inform Sci. 519 124-140
    Paper not yet in RePEc: Add citation now
    

29. Li, Q. ; Zhou, T. ; Lü, L.Y. Identifying influential spreaders by weighted LeaderRank. 2014 Physica A: Statistical Mechanics and Its Applications. 404 47-55

30. Li, W. ; Chu, M. ; Qiao, J. A pruning feedforward small-world neural network based on Katz centrality for nonlinear system modeling. 2022 Neural Netw. 130 269-285
    Paper not yet in RePEc: Add citation now
    

31. Li, Z. ; Tang, J. ; Zhao, C. ; Gao, F. Improved centrality measure based on the adapted PageRank algorithm for urban transportation multiplex networks. 2023 Chaos, Solitons Fractals. 167 -

32. Liu, C. ; Cao, T. ; Zhou, L. Learning to rank complex network node based on the self-supervised graph convolution model. 2022 Knowledge-Based Syst. 251 -
    Paper not yet in RePEc: Add citation now
    
33. Liu, W. ; Pellegrini, M. ; Wu, A. Identification of bridging centrality in complex networks. 2019 IEEE Access. 7 -
    Paper not yet in RePEc: Add citation now
    
34. Maji, G. ; Dutta, A. ; Curado Malta, M. ; Sen, S. Identifying and ranking super spreaders in real world complex networks without influence overlap. 2021 Expert Syst Appl. 179 -
    Paper not yet in RePEc: Add citation now
    
35. Massa, P. ; Salvetti, M. ; Tomasoni, D. Bowling alone and trust decline in social network sites. 2009 En : In: 2009 eighth IEEE international conference on dependable, autonomic and secure computing, ChengDu, China. :
    Paper not yet in RePEc: Add citation now
    
36. Michieli U. Complex network analysis of men single ATP tennis matches. Preprint 2018; arXiv:1804.08138. doi:10.48550/arXiv.1804.08138.
    Paper not yet in RePEc: Add citation now
    
37. Moody, J. Peer influence groups: identifying dense clusters in large networks. 2001 Soc Netw. 23 261-283
    Paper not yet in RePEc: Add citation now
    
38. Munikoti, S. ; Das, L. ; Natarajan, B. Scalable graph neural network-based framework for identifying critical nodes and links in complex networks. 2022 Neurocomputing. 468 211-221
    Paper not yet in RePEc: Add citation now
    
39. Newman, M.E.J. The structure of scientific collaboration networks. 2001 Proc Natl Acad Sci. 98 404-409
    Paper not yet in RePEc: Add citation now
    
40. Nguyen, H.T. ; Thai, M.T. ; Dinh, T.N. A billion-scale approximation algorithm for maximizing benefit in viral marketing. 2017 IEEE/ACM Trans Netw. 25 2419-2429
    Paper not yet in RePEc: Add citation now
    

41. Ni, X. ; Xiong, F. ; Pan, S. ; Chen, H. ; Wu, J. ; Wang, L. How heterogeneous social influence acts on human decision-making in online social networks. 2023 Chaos, Solitons Fractals. 172 -

42. Page L, Brin S, Motwani R, Winograd T. The PageRank citation ranking: bringing order to the Web . Proceedings of the 7th international world wide web conference, Brisbane, Australia;1998, p. 161–172.
    Paper not yet in RePEc: Add citation now
    

43. Qu, J. ; Tang, M. ; Liu, Y. ; Guan, S. Identifying influential spreaders in reversible process. 2020 Chaos, Solitons Fractals. 140 -

44. Qu, J. ; Tang, M. ; Liu, Y. ; Guan, S. The relative importance of structure and dynamics on node influence in reversible spreading processes. 2021 Front Physiol. 16 -
    Paper not yet in RePEc: Add citation now
    
45. Riquelme, F. ; Vera, J.-A. A parameterizable influence spread-based centrality measure for influential users detection in social networks. 2022 Knowledge-Based Syst. 257 -
    Paper not yet in RePEc: Add citation now
    
46. Saaty, R.W. The analytic hierarchy process—what it is and how it is used. 1987 math modell. 9 161-176
    Paper not yet in RePEc: Add citation now
    

47. Sabidussi, G. The centrality index of a graph. 1966 Psychometrika. 31 581-603

48. Sun, Y. ; Liang, X. ; Xiao, C. Assessing the influence of land use on groundwater pollution based on coefficient of variation weight method: a case study of Shuangliao City. 2019 Environ Sci Pollut Res. 26 34964-34967
    Paper not yet in RePEc: Add citation now
    
49. Tia, G. ; Yang, X. ; Li, Y. ; Yang, Z. ; Chen, G. Hybrid weighted communication network node importance evaluation method. 2023 Front Physiol. 11 -
    Paper not yet in RePEc: Add citation now
    
50. Wang Y, Guo J. Evaluation method of node importance in directed-weighted complex network based on multiple influence matrix. Acta Phys Sin 2017; 66(5): 050201. doi:https://doi.org/10.7498/aps.66.050201.
    Paper not yet in RePEc: Add citation now
    
51. Wang, L. ; Dai, W. ; Sun, D. ; Zhao, Y. Risk evaluation for a manufacturing process based on a directed weighted network. 2020 Entropy. 22 699-
    Paper not yet in RePEc: Add citation now
    
52. Wang, S. ; Tan, X. Determining seeds with robust influential ability from multi-layer networks: a multi-factorial evolutionary approach. 2022 Knowledge-Based Syst. 246 -
    Paper not yet in RePEc: Add citation now
    

53. Wang, Y. ; Li, H. ; Zhang, L. ; Zhao, L. ; Li, W. Identifying influential nodes in social networks: centripetal centrality and seed exclusion approach. 2022 Chaos, Solitons Fractals. 162 -

54. Wen, T. ; Deng, Y. Identification of influencers in complex networks by local information dimensionality. 2020 Inform Sci. 512 549-562
    Paper not yet in RePEc: Add citation now
    

55. Wen, X.-Z. ; Zheng, Y. ; Du, W.-L. ; Ren, Z.-M. Regulating clustering and Assortativity affects node centrality in complex networks. 2023 Chaos, Solitons Fractals. 166 -

56. Xu, G. ; Meng, L. A novel algorithm for identifying influential nodes in complex networks based on local propagation probability model. 2023 Chaos, Solitons Fractals. 168 -

57. Yin, F. ; Xia, X. ; Zhang, X. ; Zhang, M. ; Lv, J. ; Wu, J. Modelling the dynamic emotional information propagation and guiding the public sentiment in the Chinese Sina-microblog. 2021 Appl Math Comput. 396 -

58. Zeng, Q. ; Liu, Y. ; Tang, M. ; Gong, J. Identifying super-spreaders in information–epidemic coevolving dynamics on multiplex networks. 2021 Knowledge-Based Syst. 229 -
    Paper not yet in RePEc: Add citation now
    
59. Zhang, H. ; Zhong, S. ; Deng, Y. ; Cheong, K.H. LFIC: identifying influential nodes in complex networks by local fuzzy information centrality. 2022 IEEE Trans Fuzzy Syst. 30 3284-3296
    Paper not yet in RePEc: Add citation now
    
60. Zhang, M. ; Wang, X. ; Jin, L. ; Song, M. ; Li, Z. A new approach for evaluating node importance in complex networks via deep learning methods. 2022 Neurocomputing. 497 13-27
    Paper not yet in RePEc: Add citation now
    
61. Zhang, Q. ; Shuai, B. ; Lü, M. A novel method to identify influential nodes in complex networks based on gravity centrality. 2022 Inform Sci. 618 98-117
    Paper not yet in RePEc: Add citation now
    
62. Zhang, Y. ; Lu, Y. ; Yang, G. ; Hang, Z. Multi-attribute decision making method for node importance metric in complex network. 2022 Appl Sci. 12 1944-
    Paper not yet in RePEc: Add citation now
    
63. Zhao, J. ; Wen, T. ; Jahanshahi, H. ; Cheong, K.H. The random walk-based gravity model to identify influential nodes in complex networks. 2022 Inform Sci. 609 1706-1720
    Paper not yet in RePEc: Add citation now
    
64. Zhao, N. ; Liu, Q. ; Jing, M. ; Li, J. ; Zhao, Z. ; Wang, J. DDMF: a method for mining relatively important nodes based on distance distribution and multi-index fusion. 2022 Appl Sci. 12 522-
    Paper not yet in RePEc: Add citation now
    

65. Zhao, S. ; Sun, S. Identification of node centrality based on Laplacian energy of networks. 2023 Physica A. 609 -

66. Zhong, C. ; Xiong, F. ; Pan, S. ; Wang, L. ; Xiong, X. Hierarchical attention neural network for information cascade prediction. 2023 Inform Sci. 622 1109-1127
    Paper not yet in RePEc: Add citation now
    
67. Zhong, S. ; Zhang, H. ; Deng, Y. Identification of influential nodes in complex networks: a local degree dimension approach. 2022 Inform Sci. 610 994-1009
    Paper not yet in RePEc: Add citation now
    
68. Zhou, Y. ; Wang, Z. ; Jin, Y. ; Fu, Z.-H. Late acceptance-based heuristic algorithms for identifying critical nodes of weighted graphs. 2021 Knowledge-Based Syst. 211 -
    Paper not yet in RePEc: Add citation now
    
69. Zhu, H. ; Xiong, F. ; Chen, H. ; Xiong, X. ; Wang, L. Incorporating a triple graph neural network with multiple implicit feedback for social recommendation. 2023 ACM Trans Web. -
    Paper not yet in RePEc: Add citation now
    

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