{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,3,3]],"date-time":"2026-03-03T07:58:51Z","timestamp":1772524731034,"version":"3.50.1"},"reference-count":34,"publisher":"Springer Science and Business Media LLC","issue":"2","license":[{"start":{"date-parts":[[2026,2,1]],"date-time":"2026-02-01T00:00:00Z","timestamp":1769904000000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"},{"start":{"date-parts":[[2026,2,1]],"date-time":"2026-02-01T00:00:00Z","timestamp":1769904000000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"}],"funder":[{"name":"The Postdoctoral Fellowship Program of CPSF","award":["GZB20240565"],"award-info":[{"award-number":["GZB20240565"]}]}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":["Scientometrics"],"published-print":{"date-parts":[[2026,2]]},"DOI":"10.1007\/s11192-026-05550-z","type":"journal-article","created":{"date-parts":[[2026,2,2]],"date-time":"2026-02-02T06:12:19Z","timestamp":1770012739000},"page":"1185-1207","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":0,"title":["Disclosing the competitive-cooperative mechanism driving topic evolution from the perspective of topic function analysis"],"prefix":"10.1007","volume":"131","author":[{"given":"Junying","family":"Chen","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Wei","family":"Lu","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Zhenzhen","family":"Xu","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Feiyang","family":"Chen","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-7035-4627","authenticated-orcid":false,"given":"Shengzhi","family":"Huang","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"297","published-online":{"date-parts":[[2026,2,2]]},"reference":[{"issue":"2","key":"5550_CR1","doi-asserted-by":"publisher","first-page":"93","DOI":"10.1111\/j.1538-4632.1995.tb00338.x","volume":"27","author":"L Anselin","year":"1995","unstructured":"Anselin, L. (1995). Local indicators of spatial association\u2014LISA. Geographical Analysis, 27(2), 93\u2013115.","journal-title":"Geographical Analysis"},{"key":"5550_CR2","doi-asserted-by":"crossref","unstructured":"B\u0103lan, O., Moldoveanu, A., & Leordeanu, M. (2021). A machine learning approach to automatic phobia therapy with virtual reality. In I. Opris, M. A. Lebedev, & M. F. Casanova (Eds.), Modern approaches to augmentation of brain function (pp. 607\u2013636).","DOI":"10.1007\/978-3-030-54564-2_27"},{"issue":"4","key":"5550_CR3","doi-asserted-by":"publisher","first-page":"1175","DOI":"10.1016\/j.joi.2017.10.003","volume":"11","author":"B Chen","year":"2017","unstructured":"Chen, B., Tsutsui, S., Ding, Y., & Ma, F. (2017). Understanding the topic evolution in a scientific domain: An exploratory study for the field of information retrieval. Journal of Informetrics, 11(4), 1175\u20131189.","journal-title":"Journal of Informetrics"},{"key":"5550_CR4","doi-asserted-by":"crossref","unstructured":"Chiossi, F., Ou, C., Putze, F., & Mayer, S. (2024). Detecting internal and external attention in virtual reality: A comparative analysis of EEG classification methods. Proceedings of the International Conference on Mobile and Ubiquitous Multimedia, 381\u2013395.","DOI":"10.1145\/3701571.3701579"},{"issue":"22","key":"5550_CR5","doi-asserted-by":"publisher","first-page":"6125","DOI":"10.1016\/j.cell.2024.09.022","volume":"187","author":"S Gao","year":"2024","unstructured":"Gao, S., Fang, A., Huang, Y., Giunchiglia, V., Noori, A., Schwarz, J. R., Ektefaie, Y., Kondic, J., & Zitnik, M. (2024). Empowering biomedical discovery with AI agents. Cell, 187(22), 6125\u20136151.","journal-title":"Cell"},{"key":"5550_CR6","unstructured":"Gupta, S., & Manning, C. D. (2011). Analyzing the dynamics of research by extracting key aspects of scientific papers. Proceedings of 5th International Joint Conference on Natural Language Processing, 1\u20139."},{"issue":"4","key":"5550_CR7","doi-asserted-by":"publisher","first-page":"1185","DOI":"10.1016\/j.ipm.2019.02.014","volume":"56","author":"K Hu","year":"2019","unstructured":"Hu, K., Luo, Q., Qi, K., Yang, S., Mao, J., Fu, X., Zheng, J., Wu, H., Guo, Y., & Zhu, Q. (2019). Understanding the topic evolution of scientific literatures like an evolving city: Using Google Word2Vec model and spatial autocorrelation analysis. Information Processing & Management, 56(4), 1185\u20131203.","journal-title":"Information Processing & Management"},{"issue":"3","key":"5550_CR8","doi-asserted-by":"publisher","DOI":"10.1016\/j.ipm.2024.103973","volume":"62","author":"S Huang","year":"2025","unstructured":"Huang, S., Huang, Y., Liu, Y., Luo, Z., & Lu, W. (2025). Are large language models qualified reviewers in originality evaluation? Information Processing & Management, 62(3), Article 103973.","journal-title":"Information Processing & Management"},{"issue":"6","key":"5550_CR9","doi-asserted-by":"publisher","DOI":"10.1016\/j.ipm.2022.103110","volume":"59","author":"S Huang","year":"2022","unstructured":"Huang, S., Lu, W., Bu, Y., & Huang, Y. (2022). Revisiting the exploration-exploitation behavior of scholars\u2019 research topic selection: Evidence from a large-scale bibliographic database. Information Processing & Management, 59(6), Article 103110.","journal-title":"Information Processing & Management"},{"issue":"6","key":"5550_CR10","doi-asserted-by":"publisher","DOI":"10.1016\/j.ipm.2024.103859","volume":"61","author":"S Huang","year":"2024","unstructured":"Huang, S., Lu, W., Cheng, Q., Luo, Z., & Huang, Y. (2024). Evolutions of semantic consistency in research topic via contextualized word embedding. Information Processing & Management, 61(6), Article 103859.","journal-title":"Information Processing & Management"},{"key":"5550_CR11","doi-asserted-by":"crossref","unstructured":"Huang, S., & Wan, X. (2013). AKMiner: Domain-specific knowledge graph mining from academic literatures. In X. Lin, Y. Manolopoulos, D. Srivastava, & G. Huang (Eds.), Web information systems engineering \u2013 WISE 2013 (Vol. 8181, pp. 241\u2013255).","DOI":"10.1007\/978-3-642-41154-0_18"},{"issue":"2","key":"5550_CR12","doi-asserted-by":"publisher","first-page":"606","DOI":"10.1016\/j.joi.2016.04.002","volume":"10","author":"S Jensen","year":"2016","unstructured":"Jensen, S., Liu, X., Yu, Y., & Milojevic, S. (2016). Generation of topic evolution trees from heterogeneous bibliographic networks. Journal of Informetrics, 10(2), 606\u2013621.","journal-title":"Journal of Informetrics"},{"issue":"3","key":"5550_CR13","doi-asserted-by":"publisher","DOI":"10.1016\/j.joi.2020.101040","volume":"14","author":"S Jung","year":"2020","unstructured":"Jung, S., & Yoon, W. C. (2020). An alternative topic model based on Common Interest Authors for topic evolution analysis. Journal of Informetrics, 14(3), Article 101040.","journal-title":"Journal of Informetrics"},{"issue":"3","key":"5550_CR14","doi-asserted-by":"publisher","first-page":"435","DOI":"10.1108\/EL-10-2020-0301","volume":"39","author":"P Li","year":"2021","unstructured":"Li, P., Liu, Q., Cheng, Q., & Lu, W. (2021). Data set entity recognition based on distant supervision. The Electronic Library, 39(3), 435\u2013449.","journal-title":"The Electronic Library"},{"issue":"8","key":"5550_CR15","doi-asserted-by":"publisher","first-page":"4397","DOI":"10.1007\/s11192-022-04458-8","volume":"127","author":"P Li","year":"2022","unstructured":"Li, P., Lu, W., & Cheng, Q. (2022). Generating a related work section for scientific papers: An optimized approach with adopting problem and method information. Scientometrics, 127(8), 4397\u20134417.","journal-title":"Scientometrics"},{"issue":"5","key":"5550_CR16","doi-asserted-by":"publisher","DOI":"10.1016\/j.ipm.2021.102611","volume":"58","author":"Z Liang","year":"2021","unstructured":"Liang, Z., Mao, J., Lu, K., Ba, Z., & Li, G. (2021). Combining deep neural network and bibliometric indicator for emerging research topic prediction. Information Processing & Management, 58(5), Article 102611.","journal-title":"Information Processing & Management"},{"issue":"4","key":"5550_CR17","doi-asserted-by":"publisher","first-page":"1975","DOI":"10.1007\/s11192-024-04961-0","volume":"129","author":"P Liu","year":"2024","unstructured":"Liu, P., Zhou, W., Feng, L., Wang, J., Lin, K.-Y., Wu, X., & Zhang, D. (2024). Mapping and comparing the technology evolution paths of scientific papers and patents: An integrated approach for forecasting technology trends. Scientometrics, 129(4), 1975\u20132005.","journal-title":"Scientometrics"},{"issue":"6","key":"5550_CR18","first-page":"403","volume":"46","author":"W Lu","year":"2019","unstructured":"Lu, W., Li, X., Liu, Z., & Cheng, Q. (2019). How do author-selected keywords function semantically in scientific manuscripts? Knowledge Organization, 46(6), 403\u2013418.","journal-title":"Knowledge Organization"},{"key":"5550_CR19","doi-asserted-by":"crossref","unstructured":"Luan, Y., Wadden, D., He, L., Shah, A., Ostendorf, M., & Hajishirzi, H. (2019). A general framework for information extraction using dynamic span graphs. In J. Burstein, C. Doran, & T. Solorio (Eds.), Proceedings of the 2019 conference of the North American Chapter of the association for computational linguistics: Human language technologies, Volume 1 (long and short papers) (Vol. 309; pp. 3036\u20133046).","DOI":"10.18653\/v1\/N19-1308"},{"issue":"2","key":"5550_CR20","doi-asserted-by":"publisher","DOI":"10.1016\/j.joi.2022.101282","volume":"16","author":"Z Luo","year":"2022","unstructured":"Luo, Z., Lu, W., He, J., & Wang, Y. (2022). Combination of research questions and methods: A new measurement of scientific novelty. Journal of Informetrics, 16(2), Article 101282.","journal-title":"Journal of Informetrics"},{"issue":"8","key":"5550_CR21","doi-asserted-by":"publisher","first-page":"1059","DOI":"10.1002\/asi.24474","volume":"72","author":"J Ma","year":"2021","unstructured":"Ma, J., & Lund, B. (2021). The evolution and shift of research topics and methods in library and information science. Journal of the Association for Information Science and Technology, 72(8), 1059\u20131074.","journal-title":"Journal of the Association for Information Science and Technology"},{"issue":"1\/2","key":"5550_CR22","doi-asserted-by":"publisher","first-page":"17","DOI":"10.2307\/2332142","volume":"37","author":"PA Moran","year":"1950","unstructured":"Moran, P. A. (1950). Notes on continuous stochastic phenomena. Biometrika, 37(1\/2), 17\u201323.","journal-title":"Biometrika"},{"key":"5550_CR23","doi-asserted-by":"crossref","unstructured":"Sinha, A., Shen, Z., Song, Y., Ma, H., Eide, D., Hsu, B.-J. (Paul), & Wang, K. (2015). An overview of microsoft academic service (MAS) and applications. Proceedings of the 24th International Conference on World Wide Web, 243\u2013246.","DOI":"10.1145\/2740908.2742839"},{"issue":"1","key":"5550_CR24","doi-asserted-by":"publisher","first-page":"397","DOI":"10.1007\/s11192-014-1246-2","volume":"101","author":"M Song","year":"2014","unstructured":"Song, M., Heo, G. E., & Kim, S. Y. (2014). Analyzing topic evolution in bioinformatics: Investigation of dynamics of the field with conference data in DBLP. Scientometrics, 101(1), 397\u2013428.","journal-title":"Scientometrics"},{"issue":"7","key":"5550_CR25","doi-asserted-by":"publisher","first-page":"3841","DOI":"10.1007\/s11192-024-05058-4","volume":"129","author":"A Thakuria","year":"2024","unstructured":"Thakuria, A., & Deka, D. (2024). A decadal study on identifying latent topics and research trends in open access LIS journals using topic modeling approach. Scientometrics, 129(7), 3841\u20133869.","journal-title":"Scientometrics"},{"issue":"4","key":"5550_CR26","doi-asserted-by":"publisher","DOI":"10.1016\/j.ipm.2023.103405","volume":"60","author":"J Wang","year":"2023","unstructured":"Wang, J., Cheng, Q., Lu, W., Dou, Y., & Li, P. (2023a). A term function\u2013aware keyword citation network method for science mapping analysis. Information Processing & Management, 60(4), Article 103405.","journal-title":"Information Processing & Management"},{"issue":"6","key":"5550_CR27","doi-asserted-by":"publisher","DOI":"10.1016\/j.xinn.2023.100516","volume":"4","author":"Q Wang","year":"2023","unstructured":"Wang, Q., Feng, Y., Huang, J., Lv, Y., Xie, Z., & Gao, X. (2023b). Large-scale generative simulation artificial intelligence: The next hotspot. The Innovation, 4(6), Article 100516.","journal-title":"The Innovation"},{"issue":"4","key":"5550_CR28","doi-asserted-by":"publisher","DOI":"10.1016\/j.joi.2022.101343","volume":"16","author":"X Wang","year":"2022","unstructured":"Wang, X., He, J., Huang, H., & Wang, H. (2022). MatrixSim: A new method for detecting the evolution paths of research topics. Journal of Informetrics, 16(4), Article 101343.","journal-title":"Journal of Informetrics"},{"key":"5550_CR29","doi-asserted-by":"crossref","unstructured":"Wei, J., Wang, X., Schuurmans, D., Bosma, M., Ichter, B., Xia, F., Chi, E. H., Le, Q. V., & Zhou, D. (2022). Chain-of-thought prompting elicits reasoning in large language models. Proceedings of the 36th International Conference on Neural Information Processing Systems, 24824\u201324837.","DOI":"10.52202\/068431-1800"},{"issue":"8","key":"5550_CR30","doi-asserted-by":"publisher","first-page":"6301","DOI":"10.1007\/s11192-021-04000-2","volume":"126","author":"H Wu","year":"2021","unstructured":"Wu, H., Yi, H., & Li, C. (2021). An integrated approach for detecting and quantifying the topic evolutions of patent technology: A case study on graphene field. Scientometrics, 126(8), 6301\u20136321.","journal-title":"Scientometrics"},{"issue":"3","key":"5550_CR31","doi-asserted-by":"publisher","DOI":"10.1016\/j.joi.2020.101055","volume":"14","author":"Q Xie","year":"2020","unstructured":"Xie, Q., Zhang, X., Ding, Y., & Song, M. (2020). Monolingual and multilingual topic analysis using LDA and BERT embeddings. Journal of Informetrics, 14(3), Article 101055.","journal-title":"Journal of Informetrics"},{"issue":"1","key":"5550_CR32","doi-asserted-by":"publisher","first-page":"98","DOI":"10.1016\/j.joi.2013.10.010","volume":"8","author":"E Yan","year":"2014","unstructured":"Yan, E. (2014). Research dynamics: Measuring the continuity and popularity of research topics. Journal of Informetrics, 8(1), 98\u2013110.","journal-title":"Journal of Informetrics"},{"issue":"1","key":"5550_CR33","doi-asserted-by":"publisher","DOI":"10.1016\/j.joi.2022.101373","volume":"17","author":"C Zhang","year":"2023","unstructured":"Zhang, C., Xiang, Y., Hao, W., Li, Z., Qian, Y., & Wang, Y. (2023). Automatic recognition and classification of future work sentences from academic articles in a specific domain. Journal of Informetrics, 17(1), Article 101373.","journal-title":"Journal of Informetrics"},{"issue":"7","key":"5550_CR34","doi-asserted-by":"publisher","first-page":"3767","DOI":"10.1007\/s11192-022-04439-x","volume":"127","author":"H Zhu","year":"2022","unstructured":"Zhu, H., Qian, L., Qin, W., Wei, J., & Shen, C. (2022). Evolution analysis of online topics based on \u2018word-topic\u2019 coupling network. Scientometrics, 127(7), 3767\u20133792.","journal-title":"Scientometrics"}],"container-title":["Scientometrics"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/s11192-026-05550-z.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/link.springer.com\/article\/10.1007\/s11192-026-05550-z","content-type":"text\/html","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/s11192-026-05550-z.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2026,3,3]],"date-time":"2026-03-03T07:17:13Z","timestamp":1772522233000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/s11192-026-05550-z"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2026,2]]},"references-count":34,"journal-issue":{"issue":"2","published-print":{"date-parts":[[2026,2]]}},"alternative-id":["5550"],"URL":"https:\/\/doi.org\/10.1007\/s11192-026-05550-z","relation":{},"ISSN":["0138-9130","1588-2861"],"issn-type":[{"value":"0138-9130","type":"print"},{"value":"1588-2861","type":"electronic"}],"subject":[],"published":{"date-parts":[[2026,2]]},"assertion":[{"value":"12 May 2025","order":1,"name":"received","label":"Received","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"12 January 2026","order":2,"name":"accepted","label":"Accepted","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"2 February 2026","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 interest.","order":2,"name":"Ethics","group":{"name":"EthicsHeading","label":"Conflict of interest"}}]}}