{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,6,9]],"date-time":"2026-06-09T13:58:51Z","timestamp":1781013531111,"version":"3.54.1"},"reference-count":52,"publisher":"Springer Science and Business Media LLC","issue":"1","license":[{"start":{"date-parts":[[2024,11,26]],"date-time":"2024-11-26T00:00:00Z","timestamp":1732579200000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by-nc-nd\/4.0"},{"start":{"date-parts":[[2024,11,26]],"date-time":"2024-11-26T00:00:00Z","timestamp":1732579200000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by-nc-nd\/4.0"}],"funder":[{"DOI":"10.13039\/501100006606","name":"Natural Science Foundation of Tianjin Municipality","doi-asserted-by":"publisher","award":["21JCYBJC00740"],"award-info":[{"award-number":["21JCYBJC00740"]}],"id":[{"id":"10.13039\/501100006606","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["32071063"],"award-info":[{"award-number":["32071063"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":["Int J Comput Intell Syst"],"DOI":"10.1007\/s44196-024-00705-3","type":"journal-article","created":{"date-parts":[[2024,11,26]],"date-time":"2024-11-26T10:12:31Z","timestamp":1732615951000},"update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":11,"title":["Toward Safer Flight Training: The Data-Driven Modeling of Accident Risk Network Using Text Mining Based on Deep Learning"],"prefix":"10.1007","volume":"17","author":[{"given":"Zibo","family":"Zhuang","sequence":"first","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Yongkang","family":"Hou","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Lei","family":"Yang","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Jingwei","family":"Gong","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-8147-0554","authenticated-orcid":false,"given":"Lei","family":"Wang","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"297","published-online":{"date-parts":[[2024,11,26]]},"reference":[{"key":"705_CR1","doi-asserted-by":"publisher","first-page":"209","DOI":"10.1016\/j.aap.2015.10.024","volume":"86","author":"DD Boyd","year":"2016","unstructured":"Boyd, D.D., Stolzer, A.: Accident-precipitating factors for crashes in turbine-powered general aviation aircraft. Accident Anal. Prev. 86, 209\u2013216 (2016). https:\/\/doi.org\/10.1016\/j.aap.2015.10.024","journal-title":"Accident Anal. Prev."},{"key":"705_CR2","doi-asserted-by":"publisher","first-page":"156","DOI":"10.1016\/j.ress.2018.05.021","volume":"178","author":"AJ Erjavac","year":"2018","unstructured":"Erjavac, A.J., Iammartino, R., Fossaceca, J.M.: Evaluation of preconditions affecting symptomatic human error in general aviation and air carrier aviation accidents. Reliab. Eng. Syst. Safe. 178, 156\u2013163 (2018). https:\/\/doi.org\/10.1016\/j.ress.2018.05.021","journal-title":"Reliab. Eng. Syst. Safe."},{"key":"705_CR3","doi-asserted-by":"publisher","DOI":"10.1111\/risa.14237","author":"J Yao","year":"2023","unstructured":"Yao, J., Zhang, B., Wang, D., Lei, D., Tong, R.: Risk coupling analysis under accident scenario evolution: a methodological construct and application. Risk Anal. (2023). https:\/\/doi.org\/10.1111\/risa.14237","journal-title":"Risk Anal."},{"key":"705_CR4","doi-asserted-by":"publisher","DOI":"10.1016\/j.eswa.2021.115694","volume":"186","author":"G Perboli","year":"2021","unstructured":"Perboli, G., Gajetti, M., Fedorov, S., Giudice, S.L.: Natural Language Processing for the identification of Human factors in aviation accidents causes: An application to the SHEL methodology. Expert Syst. Appl. 186, 115694 (2021). https:\/\/doi.org\/10.1016\/j.eswa.2021.115694","journal-title":"Expert Syst. Appl."},{"key":"705_CR5","doi-asserted-by":"publisher","DOI":"10.1016\/j.ress.2022.108522","volume":"224","author":"RL Rose","year":"2022","unstructured":"Rose, R.L., Puranik, T.G., Mavris, D.N., Rao, A.H.: Application of structural topic modeling to aviation safety data. Reliab. Eng. Syst. Safe. 224, 108522 (2022). https:\/\/doi.org\/10.1016\/j.ress.2022.108522","journal-title":"Reliab. Eng. Syst. Safe."},{"key":"705_CR6","doi-asserted-by":"publisher","DOI":"10.1016\/j.engappai.2024.108901","volume":"136","author":"H Liu","year":"2024","unstructured":"Liu, H., Hu, M., Yang, L.: A new risk level identification model for aviation safety. Eng. Appl. Artif. Intel. 136, 108901 (2024). https:\/\/doi.org\/10.1016\/j.engappai.2024.108901","journal-title":"Eng. Appl. Artif. Intel."},{"issue":"21","key":"705_CR7","doi-asserted-by":"publisher","first-page":"25662","DOI":"10.1007\/s10489-023-04930-9","volume":"53","author":"J Lu","year":"2023","unstructured":"Lu, J., Shi, Y., Ren, Z., Zhong, Y., Bai, Y., Deng, J.: Research on flight training prediction based on incremental online learning. Appl. Intell. 53(21), 25662\u201325677 (2023). https:\/\/doi.org\/10.1007\/s10489-023-04930-9","journal-title":"Appl. Intell."},{"key":"705_CR8","doi-asserted-by":"publisher","DOI":"10.1016\/j.ssci.2020.104899","volume":"131","author":"CL Anderson","year":"2020","unstructured":"Anderson, C.L., Aguiar, M.D., Truong, D., Friend, M.A., Williams, J.K., Dickson, M.T.: Development of a risk indicator score card for a large, flight training department. Safety Sci. 131, 104899 (2020). https:\/\/doi.org\/10.1016\/j.ssci.2020.104899","journal-title":"Safety Sci."},{"issue":"4","key":"705_CR9","doi-asserted-by":"publisher","first-page":"345","DOI":"10.1007\/s10111-023-00737-3","volume":"25","author":"H Sun","year":"2023","unstructured":"Sun, H., Zhou, X., Zhang, P., Liu, X., Lu, Y., Huang, H., Song, W.: Competency-based assessment of pilots\u2019 manual flight performance during instrument flight training. Cogn. Technol. Work 25(4), 345\u2013356 (2023). https:\/\/doi.org\/10.1007\/s10111-023-00737-3","journal-title":"Cogn. Technol. Work"},{"key":"705_CR10","doi-asserted-by":"publisher","DOI":"10.1016\/j.ssci.2023.106097","author":"N Muecklich","year":"2023","unstructured":"Muecklich, N., Sikora, I., Paraskevas, A., Padhra, A.: Safety and reliability in aviation\u2013A systematic scoping review of normal accident theory, high-reliability theory, and resilience engineering in aviation. Safety Sci. (2023). https:\/\/doi.org\/10.1016\/j.ssci.2023.106097","journal-title":"Safety Sci."},{"key":"705_CR11","doi-asserted-by":"publisher","DOI":"10.1016\/j.aap.2023.107277","volume":"192","author":"Y Wu","year":"2023","unstructured":"Wu, Y., Zhang, S., Zhang, X., et al.: Analysis on coupling dynamic effect of human errors in aviation safety[J]. Accident Anal. Prev. 192, 107277 (2023). https:\/\/doi.org\/10.1016\/j.aap.2023.107277","journal-title":"Accident Anal. Prev."},{"key":"705_CR12","doi-asserted-by":"publisher","DOI":"10.1016\/j.aap.2023.107049","volume":"186","author":"WT Hong","year":"2023","unstructured":"Hong, W.T., Clifton, G., Nelson, J.D.: Railway accident causation analysis: current approaches, challenges and potential solutions. Accident Anal. Prev. 186, 107049 (2023). https:\/\/doi.org\/10.1016\/j.aap.2023.107049","journal-title":"Accident Anal. Prev."},{"key":"705_CR13","doi-asserted-by":"publisher","DOI":"10.1016\/j.ssci.2021.105653","volume":"148","author":"J Ge","year":"2022","unstructured":"Ge, J., Zhang, Y., Chen, S., Xu, K., Yao, X., Li, J., Li, S.: Accident causation models developed in China between 1978 and 2018: review and comparison. Safety Sci. 148, 105653 (2022). https:\/\/doi.org\/10.1016\/j.ssci.2021.105653","journal-title":"Safety Sci."},{"key":"705_CR14","doi-asserted-by":"publisher","DOI":"10.1016\/j.ssci.2020.104650","volume":"126","author":"PM Salmon","year":"2020","unstructured":"Salmon, P.M., Hulme, A., Walker, G.H., Waterson, P., Berber, E., Stanton, N.A.: The big picture on accident causation: a review, synthesis and meta-analysis of AcciMap studies. Safety Sci. 126, 104650 (2020). https:\/\/doi.org\/10.1016\/j.ssci.2020.104650","journal-title":"Safety Sci."},{"key":"705_CR15","doi-asserted-by":"publisher","first-page":"77","DOI":"10.1016\/j.ress.2014.03.009","volume":"127","author":"J Montewka","year":"2014","unstructured":"Montewka, J., Goerlandt, F., Kujala, P.: On a systematic perspective on risk for formal safety assessment (FSA). Reliab. Eng. Syst. Safe. 127, 77\u201385 (2014). https:\/\/doi.org\/10.1016\/j.ress.2014.03.009","journal-title":"Reliab. Eng. Syst. Safe."},{"key":"705_CR16","doi-asserted-by":"publisher","DOI":"10.1016\/j.ssci.2020.10493","volume":"132","author":"M Chaal","year":"2020","unstructured":"Chaal, M., Banda, O.A.V., Glomsrud, J.A., Basnet, S., Hirdaris, S., Kujala, P.: A framework to model the STPA hierarchical control structure of an autonomous ship. Safety Sci. 132, 104939 (2020). https:\/\/doi.org\/10.1016\/j.ssci.2020.10493","journal-title":"Safety Sci."},{"key":"705_CR17","doi-asserted-by":"publisher","DOI":"10.1016\/j.ssci.2022.106013","volume":"159","author":"Y Wu","year":"2023","unstructured":"Wu, Y., Fu, G., Wu, Z., Wang, Y., Xie, X., Han, M., Lyu, Q.: A popular systemic accident model in China: theory and applications of 24Model. Safety Sci. 159, 106013 (2023). https:\/\/doi.org\/10.1016\/j.ssci.2022.106013","journal-title":"Safety Sci."},{"key":"705_CR18","doi-asserted-by":"publisher","first-page":"878","DOI":"10.1016\/j.psep.2022.04.068","volume":"162","author":"Q Lyu","year":"2022","unstructured":"Lyu, Q., Fu, G., Wang, Y., Li, J., Han, M., Peng, F., Yang, C.: How accident causation theory can facilitate smart safety management: an application of the 24Model. Process Saf. Environ. 162, 878\u2013890 (2022). https:\/\/doi.org\/10.1016\/j.psep.2022.04.068","journal-title":"Process Saf. Environ."},{"key":"705_CR19","doi-asserted-by":"publisher","first-page":"159","DOI":"10.13578\/j.cnki.issn.1671-1556.2019.06.024","volume":"26","author":"J Fu","year":"2019","unstructured":"Fu, J., Nie, F.C., Liu, H., et al.: Cause analysis of chemical accidents based on FTA-24 model. Saf. Environ. Eng 26, 159\u2013165 (2019). https:\/\/doi.org\/10.13578\/j.cnki.issn.1671-1556.2019.06.024","journal-title":"Saf. Environ. Eng"},{"key":"705_CR20","doi-asserted-by":"publisher","first-page":"94","DOI":"10.1016\/j.jlp.2019.05.021","volume":"61","author":"W Huang","year":"2019","unstructured":"Huang, W., Shuai, B., Zuo, B., et al.: A systematic railway dangerous goods transportation system risk analysis approach: the 24 model. J. Loss Prev. Process Ind. 61, 94\u2013103 (2019). https:\/\/doi.org\/10.1016\/j.jlp.2019.05.021","journal-title":"J. Loss Prev. Process Ind."},{"key":"705_CR21","doi-asserted-by":"publisher","first-page":"96","DOI":"10.1016\/j.compind.2015.12.001","volume":"78","author":"A Ittoo","year":"2016","unstructured":"Ittoo, A., van den Bosch, A.: Text analytics in industry: challenges, desiderata and trends. Comput. Ind. 78, 96\u2013107 (2016). https:\/\/doi.org\/10.1016\/j.compind.2015.12.001","journal-title":"Comput. Ind."},{"issue":"1","key":"705_CR22","doi-asserted-by":"publisher","first-page":"5540046","DOI":"10.1155\/2021\/5540046","volume":"2021","author":"T Dong","year":"2021","unstructured":"Dong, T., Yang, Q., Ebadi, N., et al.: Identifying incident causal factors to improve aviation transportation safety: proposing a deep learning approach. J. Adv. Transport. 2021(1), 5540046 (2021). https:\/\/doi.org\/10.1155\/2021\/5540046","journal-title":"J. Adv. Transport."},{"issue":"2","key":"705_CR23","doi-asserted-by":"publisher","first-page":"1515","DOI":"10.1007\/s10462-022-10197-2","volume":"56","author":"M Baigang","year":"2023","unstructured":"Baigang, M., Yi, F.: A review: development of named entity recognition (NER) technology for aeronautical information intelligence. Artif. Intell. Rev. 56(2), 1515\u20131542 (2023). https:\/\/doi.org\/10.1007\/s10462-022-10197-2","journal-title":"Artif. Intell. Rev."},{"key":"705_CR24","doi-asserted-by":"publisher","DOI":"10.1016\/j.eswa.2022.117991","volume":"207","author":"C Liu","year":"2022","unstructured":"Liu, C., Yang, S.: Using text mining to establish knowledge graph from accident\/incident reports in risk assessment. Expert Syst. Appl. 207, 117991 (2022). https:\/\/doi.org\/10.1016\/j.eswa.2022.117991","journal-title":"Expert Syst. Appl."},{"key":"705_CR25","doi-asserted-by":"publisher","DOI":"10.1016\/j.aap.2023.106991","volume":"184","author":"K Yan","year":"2023","unstructured":"Yan, K., Wang, Y., Jia, L., et al.: A content-aware corpus-based model for analysis of marine accidents. Accident Anal. Prev. 184, 106991 (2023). https:\/\/doi.org\/10.1016\/j.aap.2023.106991","journal-title":"Accident Anal. Prev."},{"key":"705_CR26","doi-asserted-by":"publisher","DOI":"10.1016\/j.aei.2024.102732","volume":"62","author":"M Xiong","year":"2024","unstructured":"Xiong, M., Wang, H., Wong, Y.D., et al.: Enhancing aviation safety and mitigating accidents: a study on aviation safety hazard identification. Adv. Eng. Inform. 62, 102732 (2024). https:\/\/doi.org\/10.1016\/j.aei.2024.102732","journal-title":"Adv. Eng. Inform."},{"key":"705_CR27","doi-asserted-by":"publisher","DOI":"10.1016\/j.iswa.2024.200377","volume":"22","author":"J Qu","year":"2024","unstructured":"Qu, J., Wang, J., Zhao, Z., et al.: Remote supervised relationship extraction method of clustering for knowledge graph in aviation field. Intell. Syst. Appl. 22, 200377 (2024). https:\/\/doi.org\/10.1016\/j.iswa.2024.200377","journal-title":"Intell. Syst. Appl."},{"key":"705_CR28","doi-asserted-by":"publisher","first-page":"194","DOI":"10.1016\/j.ress.2019.02.013","volume":"186","author":"Y Zhou","year":"2019","unstructured":"Zhou, Y., Li, C., Ding, L., Sekula, P., Love, P.E., Zhou, C.: Combining association rules mining with complex networks to monitor coupled risks. Reliab. Eng. Syst. Safe. 186, 194\u2013208 (2019). https:\/\/doi.org\/10.1016\/j.ress.2019.02.013","journal-title":"Reliab. Eng. Syst. Safe."},{"key":"705_CR29","doi-asserted-by":"publisher","first-page":"320","DOI":"10.1016\/j.psep.2021.07.032","volume":"153","author":"Z Qiu","year":"2021","unstructured":"Qiu, Z., Liu, Q., Li, X., Zhang, J., Zhang, Y.: Construction and analysis of a coal mine accident causation network based on text mining. Process Saf. Environ. 153, 320\u2013328 (2021). https:\/\/doi.org\/10.1016\/j.psep.2021.07.032","journal-title":"Process Saf. Environ."},{"key":"705_CR30","doi-asserted-by":"publisher","DOI":"10.1016\/j.aap.2020.105899","volume":"150","author":"KM Kwayu","year":"2021","unstructured":"Kwayu, K.M., Kwigizile, V., Lee, K., Oh, J.S.: Discovering latent themes in traffic fatal crash narratives using text mining analytics and network topology. Accident Anal. Prev. 150, 105899 (2021). https:\/\/doi.org\/10.1016\/j.aap.2020.105899","journal-title":"Accident Anal. Prev."},{"key":"705_CR31","doi-asserted-by":"publisher","first-page":"179","DOI":"10.1016\/j.ins.2021.09.028","volume":"581","author":"R Li","year":"2021","unstructured":"Li, R., Li, D., Yang, J., Xiang, F., Ren, H., Jiang, S., Zhang, L.: Joint extraction of entities and relations via an entity correlated attention neural model. Inform. Sci. 581, 179\u2013193 (2021). https:\/\/doi.org\/10.1016\/j.ins.2021.09.028","journal-title":"Inform. Sci."},{"key":"705_CR32","doi-asserted-by":"publisher","first-page":"80","DOI":"10.1016\/j.compind.2015.09.005","volume":"78","author":"L Tanguy","year":"2016","unstructured":"Tanguy, L., Tulechki, N., Urieli, A., Hermann, E., Raynal, C.: Natural language processing for aviation safety reports: from classification to interactive analysis. Comput. Ind. 78, 80\u201395 (2016). https:\/\/doi.org\/10.1016\/j.compind.2015.09.005","journal-title":"Comput. Ind."},{"key":"705_CR33","doi-asserted-by":"publisher","first-page":"989","DOI":"10.1016\/j.psep.2024.03.066","volume":"185","author":"Q Jia","year":"2024","unstructured":"Jia, Q., Fu, G., Xie, X., Xue, Y., Hu, S.: Enhancing accident cause analysis through text classification and accident causation theory: a case study of coal mine gas explosion accidents. Process. Saf. Environ. 185, 989\u20131002 (2024). https:\/\/doi.org\/10.1016\/j.psep.2024.03.066","journal-title":"Process. Saf. Environ."},{"key":"705_CR34","doi-asserted-by":"publisher","DOI":"10.1016\/j.jbi.2020.103422","volume":"107","author":"X Li","year":"2020","unstructured":"Li, X., Zhang, H., Zhou, X.H.: Chinese clinical named entity recognition with variant neural structures based on BERT methods[J]. J. Biomed. Inform. 107, 103422 (2020). https:\/\/doi.org\/10.1016\/j.jbi.2020.103422","journal-title":"J. Biomed. Inform."},{"key":"705_CR35","volume-title":"Getting Started with Google BERT: build and train state-of-the-art natural language processing models using BERT","author":"S Ravichandiran","year":"2021","unstructured":"Ravichandiran, S.: Getting Started with Google BERT: build and train state-of-the-art natural language processing models using BERT. Packt Publishing Ltd (2021)"},{"key":"705_CR36","doi-asserted-by":"crossref","unstructured":"Shi, W., Zhu, R., Li, S.: Pairwise adversarial training for unsupervised class-imbalanced domain adaptation. In: Proceedings of the 28th ACM SIGKDD conference on knowledge discovery and data mining, 1598\u20131606. (2022)","DOI":"10.1145\/3534678.3539243"},{"key":"705_CR37","doi-asserted-by":"publisher","unstructured":"Zhu, C., Cheng, Y., Gan, Z., Sun, S., Goldstein, T., Liu, J.: Freelb: Enhanced adversarial training for natural language understanding. arXiv preprint arXiv:1909.11764 (2019). https:\/\/doi.org\/10.48550\/arXiv.1909.11764","DOI":"10.48550\/arXiv.1909.11764"},{"issue":"10","key":"705_CR38","doi-asserted-by":"publisher","first-page":"1872","DOI":"10.1007\/s11431-020-1647-3","volume":"63","author":"X Qiu","year":"2020","unstructured":"Qiu, X., Sun, T., Xu, Y., Shao, Y., Dai, N., Huang, X.: Pre-trained models for natural language processing: a survey. Sci. China Technol. Sc. 63(10), 1872\u20131897 (2020). https:\/\/doi.org\/10.1007\/s11431-020-1647-3","journal-title":"Sci. China Technol. Sc."},{"issue":"8","key":"705_CR39","doi-asserted-by":"publisher","first-page":"5789","DOI":"10.1007\/s10462-021-09958-2","volume":"54","author":"FA Acheampong","year":"2021","unstructured":"Acheampong, F.A., Nunoo-Mensah, H., Chen, W.: Transformer models for text-based emotion detection: a review of BERT-based approaches. Artif. Intell. Rev. 54(8), 5789\u20135829 (2021). https:\/\/doi.org\/10.1007\/s10462-021-09958-2","journal-title":"Artif. Intell. Rev."},{"key":"705_CR40","doi-asserted-by":"publisher","first-page":"325","DOI":"10.1016\/j.neucom.2019.01.078","volume":"337","author":"G Liu","year":"2019","unstructured":"Liu, G., Guo, J.: Bidirectional LSTM with attention mechanism and convolutional layer for text classification. Neurocomputing 337, 325\u2013338 (2019). https:\/\/doi.org\/10.1016\/j.neucom.2019.01.078","journal-title":"Neurocomputing"},{"issue":"6","key":"705_CR41","doi-asserted-by":"publisher","first-page":"4289","DOI":"10.1007\/s10462-019-09793-6","volume":"53","author":"B Yu","year":"2020","unstructured":"Yu, B., Fan, Z.: A comprehensive review of conditional random fields: variants, hybrids and applications. Artif. Intell. Rev. 53(6), 4289\u20134333 (2020). https:\/\/doi.org\/10.1007\/s10462-019-09793-6","journal-title":"Artif. Intell. Rev."},{"issue":"1","key":"705_CR42","doi-asserted-by":"publisher","first-page":"1","DOI":"10.1145\/3445965","volume":"54","author":"Z Nasar","year":"2021","unstructured":"Nasar, Z., Jaffry, S.W., Malik, M.K.: Named entity recognition and relation extraction: State-of-the-art. Acm. Comput. Surv. 54(1), 1\u201339 (2021). https:\/\/doi.org\/10.1145\/3445965","journal-title":"Acm. Comput. Surv."},{"key":"705_CR43","doi-asserted-by":"publisher","DOI":"10.1109\/TCSS.2022.3183685","author":"C Chang","year":"2022","unstructured":"Chang, C., Tang, Y., Long, Y., Hu, K., Li, Y., Li, J., Wang, C.D.: Multi-information preprocessing event extraction with BiLSTM-CRF attention for academic knowledge graph construction. IEEE. T. Comput. Soc. Sy. (2022). https:\/\/doi.org\/10.1109\/TCSS.2022.3183685","journal-title":"IEEE. T. Comput. Soc. Sy."},{"key":"705_CR44","doi-asserted-by":"publisher","DOI":"10.1016\/j.ress.2023.109413","volume":"238","author":"JR Feng","year":"2023","unstructured":"Feng, J.R., Zhao, M., Yu, G., Zhang, J., Lu, S.: Dynamic risk analysis of accidents chain and system protection strategy based on complex network and node structure importance. Reliab. Eng. Syst. Safe. 238, 109413 (2023). https:\/\/doi.org\/10.1016\/j.ress.2023.109413","journal-title":"Reliab. Eng. Syst. Safe."},{"key":"705_CR45","doi-asserted-by":"publisher","DOI":"10.1016\/j.physa.2022.128404","volume":"610","author":"W Wang","year":"2023","unstructured":"Wang, W., Wang, Y., Wang, G., Li, M., Jia, L.: Identification of the critical accident causative factors in the urban rail transit system by complex network theory. Physica A 610, 128404 (2023). https:\/\/doi.org\/10.1016\/j.physa.2022.128404","journal-title":"Physica A"},{"issue":"5","key":"705_CR46","doi-asserted-by":"publisher","first-page":"1","DOI":"10.1145\/3237192","volume":"51","author":"F Grando","year":"2018","unstructured":"Grando, F., Granville, L.Z., Lamb, L.C.: Machine learning in network centrality measures: tutorial and outlook. Acm Comput. Surv. 51(5), 1\u201332 (2018). https:\/\/doi.org\/10.1145\/3237192","journal-title":"Acm Comput. Surv."},{"key":"705_CR47","doi-asserted-by":"publisher","DOI":"10.1016\/j.ress.2024.109940","volume":"244","author":"JR Feng","year":"2024","unstructured":"Feng, J.R., Zhao, M.K., Lu, S.X.: Accident spread and risk propagation mechanism in complex industrial system network. Reliab. Eng. Syst. Safe. 244, 109940 (2024). https:\/\/doi.org\/10.1016\/j.ress.2024.109940","journal-title":"Reliab. Eng. Syst. Safe."},{"key":"705_CR48","doi-asserted-by":"publisher","DOI":"10.1016\/j.physa.2019.121118","volume":"526","author":"Y Yang","year":"2019","unstructured":"Yang, Y., Yu, L., Wang, X., Zhou, Z., Chen, Y., Kou, T.: A novel method to evaluate node importance in complex networks. Physica A 526, 121118 (2019). https:\/\/doi.org\/10.1016\/j.physa.2019.121118","journal-title":"Physica A"},{"key":"705_CR49","doi-asserted-by":"publisher","first-page":"345","DOI":"10.1016\/j.physa.2016.07.023","volume":"463","author":"KP Das","year":"2016","unstructured":"Das, K.P., Dey, A.K.: Quantifying the risk of extreme aviation accidents. Physica A 463, 345\u2013355 (2016). https:\/\/doi.org\/10.1016\/j.physa.2016.07.023","journal-title":"Physica A"},{"issue":"5","key":"705_CR50","doi-asserted-by":"publisher","first-page":"446","DOI":"10.3390\/aerospace10050446","volume":"10","author":"N Lu","year":"2023","unstructured":"Lu, N., Bin, M.: Risk analysis of airplane upsets in flight: an integrated system framework and analysis methodology. Aerospace 10(5), 446 (2023). https:\/\/doi.org\/10.3390\/aerospace10050446","journal-title":"Aerospace"},{"key":"705_CR51","doi-asserted-by":"publisher","first-page":"441","DOI":"10.1016\/j.jsr.2021.12.024","volume":"80","author":"DM Goldberg","year":"2022","unstructured":"Goldberg, D.M.: Characterizing accident narratives with word embeddings: improving accuracy, richness, and generalizability. J. Saf. Res. 80, 441\u2013455 (2022). https:\/\/doi.org\/10.1016\/j.jsr.2021.12.024","journal-title":"J. Saf. Res."},{"key":"705_CR52","doi-asserted-by":"publisher","DOI":"10.1016\/j.aap.2021.105985","volume":"152","author":"S Soleimani","year":"2021","unstructured":"Soleimani, S., Leitner, M., Codjoe, J.: Applying machine learning, text mining, and spatial analysis techniques to develop a highway-railroad grade crossing consolidation model. Accident Anal. Prev. 152, 105985 (2021). https:\/\/doi.org\/10.1016\/j.aap.2021.105985","journal-title":"Accident Anal. Prev."}],"container-title":["International Journal of Computational Intelligence Systems"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/s44196-024-00705-3.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/link.springer.com\/article\/10.1007\/s44196-024-00705-3\/fulltext.html","content-type":"text\/html","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/s44196-024-00705-3.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,11,26]],"date-time":"2024-11-26T11:15:27Z","timestamp":1732619727000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/s44196-024-00705-3"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2024,11,26]]},"references-count":52,"journal-issue":{"issue":"1","published-online":{"date-parts":[[2024,12]]}},"alternative-id":["705"],"URL":"https:\/\/doi.org\/10.1007\/s44196-024-00705-3","relation":{},"ISSN":["1875-6883"],"issn-type":[{"value":"1875-6883","type":"electronic"}],"subject":[],"published":{"date-parts":[[2024,11,26]]},"assertion":[{"value":"7 August 2024","order":1,"name":"received","label":"Received","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"13 November 2024","order":2,"name":"accepted","label":"Accepted","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"26 November 2024","order":3,"name":"first_online","label":"First Online","group":{"name":"ArticleHistory","label":"Article History"}},{"order":1,"name":"Ethics","group":{"name":"EthicsHeading","label":"Declarations"}},{"value":"The authors declare no competing interests.","order":2,"name":"Ethics","group":{"name":"EthicsHeading","label":"Conflict of interest"}}],"article-number":"291"}}