{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,3,6]],"date-time":"2026-03-06T13:29:19Z","timestamp":1772803759659,"version":"3.50.1"},"reference-count":61,"publisher":"Springer Science and Business Media LLC","issue":"6","license":[{"start":{"date-parts":[[2022,1,4]],"date-time":"2022-01-04T00:00:00Z","timestamp":1641254400000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.springer.com\/tdm"},{"start":{"date-parts":[[2022,1,4]],"date-time":"2022-01-04T00:00:00Z","timestamp":1641254400000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.springer.com\/tdm"}],"funder":[{"DOI":"10.13039\/501100012226","name":"Fundamental Research Funds for the Central Universities","doi-asserted-by":"publisher","award":["Sichuan University skbsh201808"],"award-info":[{"award-number":["Sichuan University skbsh201808"]}],"id":[{"id":"10.13039\/501100012226","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":["Scientometrics"],"published-print":{"date-parts":[[2022,6]]},"DOI":"10.1007\/s11192-021-04247-9","type":"journal-article","created":{"date-parts":[[2022,1,4]],"date-time":"2022-01-04T08:03:19Z","timestamp":1641283399000},"page":"2981-3004","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":8,"title":["Mining semantic information of co-word network to improve link prediction performance"],"prefix":"10.1007","volume":"127","author":[{"given":"Ting","family":"Xiong","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-7001-3059","authenticated-orcid":false,"given":"Liang","family":"Zhou","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Ying","family":"Zhao","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Xiaojuan","family":"Zhang","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"297","published-online":{"date-parts":[[2022,1,4]]},"reference":[{"issue":"3","key":"4247_CR1","doi-asserted-by":"publisher","first-page":"211","DOI":"10.1016\/S0378-8733(03)00009-l","volume":"25","author":"LA Adamic","year":"2003","unstructured":"Adamic, L. A., & Adar, E. (2003). Friends and neighbors on the web. Social Networks, 25(3), 211\u2013230. https:\/\/doi.org\/10.1016\/S0378-8733(03)00009-l","journal-title":"Social Networks"},{"issue":"1","key":"4247_CR2","doi-asserted-by":"publisher","first-page":"1","DOI":"10.1007\/s13278-016-0333-1","volume":"6","author":"C Ahmed","year":"2016","unstructured":"Ahmed, C., ElKorany, A., & Bahgat, R. (2016). A supervised learning approach to link prediction in Twitter. Social Network Analysis and Mining, 6(1), 1\u201311. https:\/\/doi.org\/10.1007\/s13278-016-0333-1","journal-title":"Social Network Analysis and Mining"},{"issue":"2","key":"4247_CR3","doi-asserted-by":"publisher","first-page":"1","DOI":"10.1145\/2180861.2180866","volume":"6","author":"LM Aiello","year":"2012","unstructured":"Aiello, L. M., Barrat, A., Schifanella, R., Cattuto, C., Markines, B., & Menczer, F. (2012). Friendship prediction and homophily in social media. ACM Transactions on the Web (TWEB), 6(2), 1\u201333. https:\/\/doi.org\/10.1145\/2180861.2180866","journal-title":"ACM Transactions on the Web (TWEB)"},{"issue":"2","key":"4247_CR4","doi-asserted-by":"publisher","first-page":"189","DOI":"10.1016\/j.jksuci.2016.04.001","volume":"29","author":"FS Al-Anzi","year":"2017","unstructured":"Al-Anzi, F. S., & AbuZeina, D. (2017). Toward an enhanced Arabic text classification using cosine similarity and Latent Semantic Indexing. Journal of King Saud University-Computer and Information Sciences, 29(2), 189\u2013195. https:\/\/doi.org\/10.1016\/j.jksuci.2016.04.001","journal-title":"Journal of King Saud University-Computer and Information Sciences"},{"issue":"1","key":"4247_CR5","doi-asserted-by":"publisher","first-page":"101","DOI":"10.1111\/j.1756-8765.2009.01074.x","volume":"2","author":"M Andrews","year":"2010","unstructured":"Andrews, M., & Vigliocco, G. (2010). The hidden Markov topic model: A probabilistic model of semantic representation. Topics in Cognitive Science, 2(1), 101\u2013113.","journal-title":"Topics in Cognitive Science"},{"issue":"7","key":"4247_CR6","doi-asserted-by":"publisher","first-page":"1145","DOI":"10.1016\/S0031-3203(96)00142-2","volume":"30","author":"AP Bradley","year":"1997","unstructured":"Bradley, A. P. (1997). The use of the area under the ROC curve in the evaluation of machine learning algorithms. Pattern Recognition, 30(7), 1145\u20131159.","journal-title":"Pattern Recognition"},{"key":"4247_CR7","doi-asserted-by":"publisher","first-page":"953","DOI":"10.1038\/224953a0","volume":"224","author":"B Brookes","year":"1969","unstructured":"Brookes, B. (1969). Bradford\u2019s Law and the Bibliography of Science. Nature, 224, 953\u2013956. https:\/\/doi.org\/10.1038\/224953a0","journal-title":"Nature"},{"issue":"5439","key":"4247_CR8","doi-asserted-by":"publisher","first-page":"509","DOI":"10.1126\/science.286.5439.509","volume":"286","author":"AL Barab\u00e1si","year":"1999","unstructured":"Barab\u00e1si, A. L., & Albert, R. (1999). Emergence of scaling in random networks. Science, 286(5439), 509\u2013512.","journal-title":"Science"},{"issue":"5","key":"4247_CR9","doi-asserted-by":"publisher","first-page":"750","DOI":"10.1016\/j.jocs.2014.01.003","volume":"5","author":"CA Bliss","year":"2014","unstructured":"Bliss, C. A., Frank, M. R., Danforth, C. M., & Dodds, P. S. (2014). An evolutionary algorithm approach to link prediction in dynamic social networks. Journal of Computational Science, 5(5), 750\u2013764. https:\/\/doi.org\/10.1016\/j.jocs.2014.01.003","journal-title":"Journal of Computational Science"},{"key":"4247_CR10","doi-asserted-by":"publisher","unstructured":"Benchettara, N., Kanawati, R., & Rouveirol, C. (2010). Supervised machine learning applied to link prediction in bipartite social networks. In 2010 international conference on advances in social networks analysis and mining. https:\/\/doi.org\/10.1109\/asonam.2010.87","DOI":"10.1109\/asonam.2010.87"},{"issue":"7191","key":"4247_CR11","doi-asserted-by":"publisher","first-page":"98","DOI":"10.1038\/nature06830","volume":"453","author":"A Clauset","year":"2008","unstructured":"Clauset, A., Moore, C., & Newman, M. E. J. (2008). Hierarchical structure and the prediction of missing links in networks. Nature, 453(7191), 98\u2013101. https:\/\/doi.org\/10.1038\/nature06830","journal-title":"Nature"},{"issue":"3","key":"4247_CR12","doi-asserted-by":"publisher","first-page":"2091","DOI":"10.1007\/s11192-020-03666-4","volume":"125","author":"J Chen","year":"2020","unstructured":"Chen, J., Chen, J., Zhao, S., Zhang, Y., & Tang, J. (2020). Exploiting word embedding for heterogeneous topic model towards patent recommendation. Scientometrics, 125(3), 2091\u20132108.","journal-title":"Scientometrics"},{"issue":"2","key":"4247_CR13","doi-asserted-by":"publisher","first-page":"745","DOI":"10.1007\/s11192-016-2003-5","volume":"108","author":"N Choudhury","year":"2016","unstructured":"Choudhury, N., & Uddin, S. (2016). Time-aware link prediction to explore network effects on temporal knowledge evolution. Scientometrics, 108(2), 745\u2013776. https:\/\/doi.org\/10.1007\/s11192-016-2003-5","journal-title":"Scientometrics"},{"key":"4247_CR25","doi-asserted-by":"publisher","unstructured":"Chuan, P. M., Son, L. H., Ali, M., Khang, T. D., Huong, L. T., & Dey, N. (2018). Link prediction in co-authorship networks based on hybrid content similarity metric. Applied Intelligence, 48(8), 2470\u20132486. https:\/\/doi.org\/10.1007\/s10489-017-1086-x","DOI":"10.1007\/s10489-017-1086-x"},{"key":"4247_CR14","first-page":"49","volume-title":"Understanding scientific literature: A bibliographic approach","author":"JC Donohue","year":"1973","unstructured":"Donohue, J. C. (1973). Understanding scientific literature: A bibliographic approach (pp. 49\u201350). The MIT Press."},{"key":"4247_CR15","doi-asserted-by":"publisher","unstructured":"De S\u00e1, H. R., & Prud\u00eancio, R. B. (2011). Supervised link prediction in weighted networks. In: The 2011 international joint conference on neural networks. https:\/\/doi.org\/10.1109\/ijcnn.2011.6033513","DOI":"10.1109\/ijcnn.2011.6033513"},{"issue":"1","key":"4247_CR16","doi-asserted-by":"publisher","DOI":"10.1016\/j.jnca.2020.102716","volume":"166","author":"NN Daud","year":"2020","unstructured":"Daud, N. N., et al. (2020). Applications of link prediction in social networks: A review. Journal of Network and Computer Applications, 166(1), 102716. https:\/\/doi.org\/10.1016\/j.jnca.2020.102716","journal-title":"Journal of Network and Computer Applications"},{"key":"4247_CR17","doi-asserted-by":"crossref","unstructured":"Deza, M. M., & Deza, E. (2009). Encyclopedia of distances (pp. 1\u2013583). Springer.","DOI":"10.1007\/978-3-642-00234-2_1"},{"key":"4247_CR18","doi-asserted-by":"publisher","DOI":"10.1177\/0165551520968055","author":"M Eminagaoglu","year":"2020","unstructured":"Eminagaoglu, M. (2020). A new similarity measure for vector space models in text classification and information retrieval. Journal of Information Science. https:\/\/doi.org\/10.1177\/0165551520968055","journal-title":"Journal of Information Science"},{"issue":"1","key":"4247_CR19","first-page":"465","volume":"9","author":"Z Elberrichi","year":"2012","unstructured":"Elberrichi, Z., & Abidi, K. (2012). Arabic text categorization: A comparative study of different representation modes. International Arab Journal of Information Technology, 9(1), 465\u2013470.","journal-title":"International Arab Journal of Information Technology"},{"issue":"15","key":"4247_CR20","doi-asserted-by":"publisher","first-page":"2479","DOI":"10.1093\/bioinformatics\/bth261","volume":"20","author":"E Frank","year":"2004","unstructured":"Frank, E., Hall, M., Trigg, L., Holmes, G., & Witten, I. H. (2004). Data mining in bioinformatics using Weka. Bioinformatics, 20(15), 2479\u20132481. https:\/\/doi.org\/10.1093\/bioinformatics\/bth261","journal-title":"Bioinformatics"},{"issue":"3","key":"4247_CR22","first-page":"72","volume":"4","author":"KM George","year":"2017","unstructured":"George, K. M., Soundarabai, P. B., & Krishnamurthi, K. (2017). Impact of topic modelling methods and text classification techniques in text mining: A survey. International Journal of Advances in Electronics and Computer Science, 4(3), 72\u201377.","journal-title":"International Journal of Advances in Electronics and Computer Science"},{"issue":"1","key":"4247_CR24","first-page":"66","volume":"37","author":"X Gong","year":"2018","unstructured":"Gong, X., & Cui, L. (2018). Link prediction in MeSH terms co-occurring networks. Journal of Intelligence, 37(1), 66\u201371.","journal-title":"Journal of Intelligence"},{"issue":"2","key":"4247_CR23","doi-asserted-by":"publisher","first-page":"1461","DOI":"10.1007\/s11192-013-1228-9","volume":"101","author":"R Guns","year":"2014","unstructured":"Guns, R., & Rousseau, R. (2014). Recommending research collaborations using link prediction and random forest classifiers. Scientometrics, 101(2), 1461\u20131473. https:\/\/doi.org\/10.1007\/s11192-013-1228-9","journal-title":"Scientometrics"},{"issue":"3","key":"4247_CR26","doi-asserted-by":"publisher","first-page":"1961","DOI":"10.1007\/s10462-017-9590-2","volume":"52","author":"S Haghani","year":"2019","unstructured":"Haghani, S., & Keyvanpour, M. R. (2019). A systemic analysis of link prediction in social network. Artificial Intelligence Review, 52(3), 1961\u20131995. https:\/\/doi.org\/10.1007\/s10462-017-9590-2","journal-title":"Artificial Intelligence Review"},{"issue":"3","key":"4247_CR27","doi-asserted-by":"publisher","first-page":"38","DOI":"10.1007\/s00283-010-9159-2","volume":"32","author":"M Hardy","year":"2010","unstructured":"Hardy, M. (2010). Pareto\u2019s law. Mathematical Intelligencer, 32(3), 38\u201343.","journal-title":"Mathematical Intelligencer"},{"issue":"1","key":"4247_CR29","doi-asserted-by":"publisher","first-page":"1","DOI":"10.1016\/j.techfore.2021.120944","volume":"170","author":"L Huang","year":"2021","unstructured":"Huang, L., Chen, X., Ni, X., Liu, J., Cao, X., & Wang, C. (2021). Tracking the dynamics of co-word networks for emerging topic identification. Technological Forecasting and Social Change, 170(1), 1\u201314. https:\/\/doi.org\/10.1016\/j.techfore.2021.120944","journal-title":"Technological Forecasting and Social Change"},{"key":"4247_CR30","doi-asserted-by":"publisher","unstructured":"Huang, L., Ma, J., & Chen, C. (2017). Topic detection from microblogs using T-LDA and perplexity. In: 2017 24th Asia-Pacific software engineering conference workshops (APSECW) (pp. 71\u201377). IEEE. https:\/\/doi.org\/10.1109\/apsecw.2017.11","DOI":"10.1109\/apsecw.2017.11"},{"issue":"1","key":"4247_CR31","first-page":"547","volume":"37","author":"P Jaccard","year":"1901","unstructured":"Jaccard, P. (1901). \u00c9tude comparative de la distribution florale dans une portion des Alpes et des Jura. Bulletin De La Societe Vaudoise Des Science Naturelles, 37(1), 547\u2013579.","journal-title":"Bulletin De La Societe Vaudoise Des Science Naturelles"},{"issue":"11","key":"4247_CR32","doi-asserted-by":"publisher","first-page":"15169","DOI":"10.1007\/s11042-018-6894-4","volume":"78","author":"H Jelodar","year":"2019","unstructured":"Jelodar, H., Wang, Y., Yuan, C., et al. (2019). Latent Dirichlet allocation (LDA) and topic modeling: Models, applications, a survey. Multimedia Tools and Applications., 78(11), 15169\u201315211. https:\/\/doi.org\/10.1007\/s11042-018-6894-4","journal-title":"Multimedia Tools and Applications."},{"key":"4247_CR33","unstructured":"Julian, K., & Lu, W. (2016). Application of Machine Learning to Link Prediction."},{"issue":"4","key":"4247_CR53","doi-asserted-by":"publisher","first-page":"340","DOI":"10.3414\/me15-01-0108","volume":"55","author":"A Kastrin","year":"2016","unstructured":"Kastrin, A., Rindflesch, T., & Hristovski, D. (2016). Link prediction on a network of co-occurring MeSH terms: Towards literature-based discovery. Methods of Information in Medicine, 55(4), 340\u2013346. https:\/\/doi.org\/10.3414\/me15-01-0108","journal-title":"Methods of Information in Medicine"},{"issue":"1","key":"4247_CR34","first-page":"38","volume":"13","author":"V Kumar","year":"2014","unstructured":"Kumar, V., Chhabra, J. K., & Kumar, D. (2014). Performance evaluation of distance metrics in the clustering algorithms. INFOCOMP Journal of Computer Science, 13(1), 38\u201352.","journal-title":"INFOCOMP Journal of Computer Science"},{"issue":"23","key":"4247_CR35","doi-asserted-by":"publisher","first-page":"135","DOI":"10.13266\/j.issn.0252-3116.2016.23.017","volume":"60","author":"MJ Liu","year":"2016","unstructured":"Liu, M. J., Zhang, X. F., & Yan, Y. (2016). Research on method of determining scope of word set in co-word analysis based on word frequency, number of words, cumulative word frequency in proportion. Library and Information Service, 60(23), 135\u2013142. https:\/\/doi.org\/10.13266\/j.issn.0252-3116.2016.23.017","journal-title":"Library and Information Service"},{"key":"4247_CR36","doi-asserted-by":"publisher","unstructured":"Lebedev A., Lee J., Rivera V., Mazzara M. (2017) Link prediction using top-k shortest distances. In British international conference on databases (pp. 101\u2013105). Springer. https:\/\/doi.org\/10.1007\/978-3-319-60795-5_10","DOI":"10.1007\/978-3-319-60795-5_10"},{"issue":"9","key":"4247_CR37","doi-asserted-by":"publisher","first-page":"1536","DOI":"10.1093\/bioinformatics\/bty858","volume":"35","author":"CH Lin","year":"2018","unstructured":"Lin, C. H., Konecki, D. M., Liu, M., Wilson, S. J., Nassar, H., Wilkins, A. D., & Lichtarge, O. (2018). Multimodal network diffusion predicts future disease-gene-chemical associations. Bioinformatics, 35(9), 1536\u20131543. https:\/\/doi.org\/10.1093\/bioinformatics\/bty858","journal-title":"Bioinformatics"},{"issue":"6","key":"4247_CR38","doi-asserted-by":"publisher","first-page":"1938","DOI":"10.1287\/mnsc.2016.2446","volume":"63","author":"Z Li","year":"2017","unstructured":"Li, Z., Fang, X., Bai, X., & Sheng, O. R. L. (2017). Utility-based link recommendation for online social networks. Management Science, 63(6), 1938\u20131952. https:\/\/doi.org\/10.1287\/mnsc.2016.2446","journal-title":"Management Science"},{"issue":"5","key":"4247_CR40","doi-asserted-by":"publisher","first-page":"651","DOI":"10.3969\/j.issn.1001-0548.2010.05.002","volume":"39","author":"LY L\u00fc","year":"2010","unstructured":"L\u00fc, L. Y. (2010). Link prediction on complex networks. Journal of University of Electronic Science and Technology of China, 39(5), 651\u2013661. https:\/\/doi.org\/10.3969\/j.issn.1001-0548.2010.05.002","journal-title":"Journal of University of Electronic Science and Technology of China"},{"issue":"5","key":"4247_CR41","doi-asserted-by":"publisher","first-page":"58007","DOI":"10.1209\/0295-5075\/89\/58007","volume":"89","author":"WP Liu","year":"2010","unstructured":"Liu, W. P., & L\u00fc, L. Y. (2010). Link prediction based on local random walk. EPL (europhysics Letters), 89(5), 58007. https:\/\/doi.org\/10.1209\/0295-5075\/89\/58007","journal-title":"EPL (europhysics Letters)"},{"key":"4247_CR42","unstructured":"Manning, C., & Schutze, H. (1999). Foundations of statistical natural language processing. MIT Press."},{"key":"4247_CR43","doi-asserted-by":"crossref","unstructured":"Marjan, M., Zaki, N., & Mohamed, E. A. (2018). Link prediction in dynamic social networks: A literature review. In: 2018 IEEE 5th international congress on information science and technology (CiSt) (pp. 200\u2013207).","DOI":"10.1109\/CIST.2018.8596511"},{"issue":"3","key":"4247_CR45","doi-asserted-by":"publisher","first-page":"245","DOI":"10.1007\/s00354-008-0043-y","volume":"26","author":"T Murata","year":"2008","unstructured":"Murata, T., & Moriyasu, S. (2008). Link prediction based on structural properties of online social networks. New Gener Comput, 26(3), 245\u2013257.","journal-title":"New Gener Comput"},{"issue":"7","key":"4247_CR46","doi-asserted-by":"publisher","first-page":"1","DOI":"10.1371\/journal.pone.0181079","volume":"12","author":"S Martin\u010di\u0107-Ip\u0161i\u0107","year":"2017","unstructured":"Martin\u010di\u0107-Ip\u0161i\u0107, S., Mo\u010dibob, E., & Perc, M. (2017). Link prediction on Twitter. PLoS ONE, 12(7), 1\u201321.","journal-title":"PLoS ONE"},{"key":"4247_CR44","doi-asserted-by":"crossref","unstructured":"Nassar, H., Benson, A. R., & Gleich, D. F. (2019). Pairwise link prediction. In: 2019 IEEE\/ACM international conference on advances in social networks analysis and mining (ASONAM). IEEE.","DOI":"10.1145\/3341161.3342897"},{"issue":"64","key":"4247_CR47","first-page":"25","volume":"3","author":"MEJ Newman","year":"2001","unstructured":"Newman, M. E. J. (2001). Clustering and preferential attachment in growing networks. Physical Review Letters, 3(64), 25\u201329.","journal-title":"Physical Review Letters"},{"key":"4247_CR48","unstructured":"Salton, G., Mcgill, M. J. (1983). Friendship prediction and homophily in social media (pp. 305\u2013306). MuGraw-Hill."},{"key":"4247_CR49","doi-asserted-by":"crossref","unstructured":"Sch\u00fctze, H., Manning, C. D., & Raghavan, P. (2008). Introduction to information retrieval (Vol. 29, No. 1, pp. 234\u2013265). Cambridge University Press.","DOI":"10.1017\/CBO9780511809071"},{"key":"4247_CR51","doi-asserted-by":"crossref","unstructured":"Sharma, D., & Sharma, U. (2014). Link prediction algorithm for co-authorship networks using Neural Network. In Proceedings of 3rd international conference on reliability, Infocom technologies and optimization (pp. 1\u20134). IEEE.","DOI":"10.1109\/ICRITO.2014.7014756"},{"key":"4247_CR52","doi-asserted-by":"publisher","unstructured":"Sirichanya, C., & Kraisak, K. (2021). Semantic data mining in the information age: A systematic review. International Journal of Intelligent Systems, 36(8), 3880\u20133916. https:\/\/doi.org\/10.1002\/int.22443.","DOI":"10.1002\/int.22443"},{"issue":"1","key":"4247_CR54","doi-asserted-by":"publisher","first-page":"43","DOI":"10.1007\/s11192-015-1597-3","volume":"104","author":"X Sun","year":"2015","unstructured":"Sun, X., Lin, H., Xu, K., & Ding, K. (2015). How we collaborate: Characterizing, modeling and predicting scientific collaborations. Scientometrics, 104(1), 43\u201360. https:\/\/doi.org\/10.1007\/s11192-015-1597-3","journal-title":"Scientometrics"},{"issue":"3","key":"4247_CR55","doi-asserted-by":"publisher","first-page":"1","DOI":"10.1371\/journal.pone.0017906","volume":"6","author":"Z Wang","year":"2011","unstructured":"Wang, Z., et al. (2011). A protein domain co-occurrence network approach for predicting protein function and inferring species phylogeny. PLoS ONE, 6(3), 1\u201317. https:\/\/doi.org\/10.1371\/journal.pone.0017906","journal-title":"PLoS ONE"},{"issue":"9","key":"4247_CR57","doi-asserted-by":"publisher","first-page":"1","DOI":"10.3390\/info11090421","volume":"11","author":"J Wang","year":"2020","unstructured":"Wang, J., & Dong, Y. (2020). Measurement of text similarity: A survey. Information, 11(9), 1\u201317. https:\/\/doi.org\/10.3390\/info11090421","journal-title":"Information"},{"key":"4247_CR58","doi-asserted-by":"publisher","unstructured":"Wei, X., & Croft, W. B. (2006). LDA-based document models for ad-hoc retrieval. In: Proceedings of the 29th annual international ACM SIGIR conference on research and development in information retrieval (pp. 178\u2013185). https:\/\/doi.org\/10.1145\/1148170.1148204","DOI":"10.1145\/1148170.1148204"},{"issue":"3","key":"4247_CR59","doi-asserted-by":"publisher","first-page":"767","DOI":"10.1007\/s11192-014-1321-8","volume":"100","author":"CK Yau","year":"2014","unstructured":"Yau, C. K., Porter, A., Newman, N., & Suominen, A. (2014). Clustering scientific documents with topic modeling. Scientometrics, 100(3), 767\u2013786.","journal-title":"Scientometrics"},{"issue":"217","key":"4247_CR60","doi-asserted-by":"publisher","first-page":"399","DOI":"10.13530\/j.cnki.jlis.150016","volume":"41","author":"B Zhang","year":"2015","unstructured":"Zhang, B., & Ma, F. C. (2015). A review on link prediction of scientific knowledge network. Journal of Library Science in China, 41(217), 399\u2013113. https:\/\/doi.org\/10.13530\/j.cnki.jlis.150016","journal-title":"Journal of Library Science in China"},{"key":"4247_CR61","unstructured":"Zhao, H., Du, L., & Buntine, W. (2017). Leveraging node attributes for incomplete relational data. In International conference on machine learning (pp. 4072\u20134081)."},{"issue":"9","key":"4247_CR62","doi-asserted-by":"publisher","first-page":"772","DOI":"10.1002\/(SICI)1097-4571(1999)50:9<772::AID-ASI5>3.0.CO;2-E","volume":"50","author":"J Zhang","year":"1999","unstructured":"Zhang, J., & Korfhage, R. R. (1999). A distance and angle similarity measure method. Journal of the American Society for Information Science, 50(9), 772\u2013778.","journal-title":"Journal of the American Society for Information Science"},{"issue":"1","key":"4247_CR63","first-page":"1","volume":"27","author":"Q Zheng","year":"2019","unstructured":"Zheng, Q., Tian, X., Yang, M., & Wang, H. (2019). Differential learning: A powerful tool for interactive content-based image retrieval. Engineering Letters, 27(1), 1.","journal-title":"Engineering Letters"},{"issue":"4","key":"4247_CR64","doi-asserted-by":"publisher","first-page":"317","DOI":"10.1007\/s10791-017-9300-3","volume":"20","author":"X Zhou","year":"2017","unstructured":"Zhou, X., Ding, L., Li, Z., & Wan, R. (2017). Collaborator recommendation in heterogeneous bibliographic networks using random walks. Information Retrieval Journal, 20(4), 317\u2013337. https:\/\/doi.org\/10.1007\/s10791-017-9300-3","journal-title":"Information Retrieval Journal"},{"issue":"1","key":"4247_CR65","doi-asserted-by":"publisher","first-page":"381","DOI":"10.1007\/s11192-018-2867-7","volume":"117","author":"W Zhou","year":"2018","unstructured":"Zhou, W., Gu, J., & Jia, Y. (2018). h-Index-based link prediction methods in citation network. Scientometrics, 117(1), 381\u2013390. https:\/\/doi.org\/10.1007\/s11192-018-2867-7","journal-title":"Scientometrics"},{"key":"4247_CR66","doi-asserted-by":"publisher","DOI":"10.1007\/s10257-020-00461-9","author":"L Zhou","year":"2020","unstructured":"Zhou, L., Zhang, L., Zhao, Y., Zheng, R., & Song, K. (2020). A scientometric review of blockchain research. Information Systems and e-Business Management. https:\/\/doi.org\/10.1007\/s10257-020-00461-9","journal-title":"Information Systems and e-Business Management"}],"updated-by":[{"DOI":"10.1007\/s11192-022-04422-6","type":"correction","label":"Correction","source":"publisher","updated":{"date-parts":[[2022,6,9]],"date-time":"2022-06-09T00:00:00Z","timestamp":1654732800000}}],"container-title":["Scientometrics"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/s11192-021-04247-9.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/link.springer.com\/article\/10.1007\/s11192-021-04247-9\/fulltext.html","content-type":"text\/html","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/s11192-021-04247-9.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2022,6,15]],"date-time":"2022-06-15T08:38:35Z","timestamp":1655282315000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/s11192-021-04247-9"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2022,1,4]]},"references-count":61,"journal-issue":{"issue":"6","published-print":{"date-parts":[[2022,6]]}},"alternative-id":["4247"],"URL":"https:\/\/doi.org\/10.1007\/s11192-021-04247-9","relation":{"correction":[{"id-type":"doi","id":"10.1007\/s11192-022-04422-6","asserted-by":"object"}]},"ISSN":["0138-9130","1588-2861"],"issn-type":[{"value":"0138-9130","type":"print"},{"value":"1588-2861","type":"electronic"}],"subject":[],"published":{"date-parts":[[2022,1,4]]},"assertion":[{"value":"29 April 2021","order":1,"name":"received","label":"Received","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"14 December 2021","order":2,"name":"accepted","label":"Accepted","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"4 January 2022","order":3,"name":"first_online","label":"First Online","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"9 June 2022","order":4,"name":"change_date","label":"Change Date","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"Correction","order":5,"name":"change_type","label":"Change Type","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"A Correction to this paper has been published:","order":6,"name":"change_details","label":"Change Details","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"https:\/\/doi.org\/10.1007\/s11192-022-04422-6","URL":"https:\/\/doi.org\/10.1007\/s11192-022-04422-6","order":7,"name":"change_details","label":"Change Details","group":{"name":"ArticleHistory","label":"Article History"}},{"order":1,"name":"Ethics","group":{"name":"EthicsHeading","label":"Declarations"}},{"value":"The authors have no relevant financial or non-financial interests to disclose.","order":2,"name":"Ethics","group":{"name":"EthicsHeading","label":"Conflict of interest"}}]}}