{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,12,31]],"date-time":"2025-12-31T12:04:28Z","timestamp":1767182668116,"version":"3.37.3"},"reference-count":72,"publisher":"Springer Science and Business Media LLC","issue":"2","license":[{"start":{"date-parts":[[2017,2,15]],"date-time":"2017-02-15T00:00:00Z","timestamp":1487116800000},"content-version":"unspecified","delay-in-days":0,"URL":"http:\/\/www.springer.com\/tdm"}],"funder":[{"DOI":"10.13039\/501100012325","name":"National Social Science Fund of China","doi-asserted-by":"crossref","award":["14CTQ033"],"award-info":[{"award-number":["14CTQ033"]}],"id":[{"id":"10.13039\/501100012325","id-type":"DOI","asserted-by":"crossref"}]},{"name":"Youth Innovation Fund of Promotion Association, CAS","award":["2016"],"award-info":[{"award-number":["2016"]}]},{"name":"Natural Science Foundation of Shandong Province, China","award":["ZR2015GL015"],"award-info":[{"award-number":["ZR2015GL015"]}]}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":["Scientometrics"],"published-print":{"date-parts":[[2017,5]]},"DOI":"10.1007\/s11192-017-2290-5","type":"journal-article","created":{"date-parts":[[2017,2,15]],"date-time":"2017-02-15T15:13:10Z","timestamp":1487171590000},"page":"773-792","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":22,"title":["Multi-source data fusion study in scientometrics"],"prefix":"10.1007","volume":"111","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-7453-3331","authenticated-orcid":false,"given":"Hai-Yun","family":"Xu","sequence":"first","affiliation":[]},{"given":"Zeng-Hui","family":"Yue","sequence":"additional","affiliation":[]},{"given":"Chao","family":"Wang","sequence":"additional","affiliation":[]},{"given":"Kun","family":"Dong","sequence":"additional","affiliation":[]},{"given":"Hong-Shen","family":"Pang","sequence":"additional","affiliation":[]},{"given":"Zhengbiao","family":"Han","sequence":"additional","affiliation":[]}],"member":"297","published-online":{"date-parts":[[2017,2,15]]},"reference":[{"issue":"1","key":"2290_CR1","doi-asserted-by":"publisher","first-page":"49","DOI":"10.1016\/j.joi.2008.11.003","volume":"3","author":"P Ahlgren","year":"2009","unstructured":"Ahlgren, P., & Colliander, C. (2009). Document\u2013document similarity approaches and science mapping: Experimental comparison of five approaches. Journal of Informetrics, 3(1), 49\u201363.","journal-title":"Journal of Informetrics"},{"issue":"3","key":"2290_CR2","doi-asserted-by":"publisher","first-page":"257","DOI":"10.1016\/j.artmed.2003.11.007","volume":"30","author":"P Antal","year":"2004","unstructured":"Antal, P., Fannes, G., Timmerman, D., Moreau, Y., & De Moor, B. (2004). Using literature and data to learn Bayesian networks as clinical models of ovarian tumors. Artificial Intelligence in Medicine, 30(3), 257\u2013281.","journal-title":"Artificial Intelligence in Medicine"},{"key":"2290_CR3","doi-asserted-by":"publisher","unstructured":"Antal, P., Glenisson, P., & Fannes, G. (2002). On the potential of domain literature for clustering and Bayesian network learning. In Proceedings of the eighth ACM SIGKDD international conference on knowledge discovery and data mining (pp. 405\u2013414).","DOI":"10.1145\/775047.775105"},{"issue":"3\/4","key":"2290_CR4","first-page":"201","volume":"50","author":"P Antal","year":"2006","unstructured":"Antal, P., & Millinghoffer, A. (2006). Learning causal bayesian networks from literature data. Periodica Polytechnica Electrical Engineering, 50(3\/4), 201.","journal-title":"Periodica Polytechnica Electrical Engineering"},{"key":"2290_CR5","doi-asserted-by":"publisher","first-page":"144","DOI":"10.1007\/978-3-540-25966-4_14","volume-title":"Multiple classifier systems","author":"H Ayad","year":"2004","unstructured":"Ayad, H., Basir, O., & Kamel, M. (2004). Multiple classifier systems (pp. 144\u2013153). Heidelberg: Springer."},{"key":"2290_CR6","doi-asserted-by":"publisher","first-page":"307","DOI":"10.1007\/978-3-540-45231-7_29","volume-title":"Advances in intelligent data analysis V","author":"H Ayad","year":"2003","unstructured":"Ayad, H., & Kamel, M. (2003). Advances in intelligent data analysis V (pp. 307\u2013318). Heidelberg: Springer."},{"key":"2290_CR7","doi-asserted-by":"publisher","unstructured":"Banerjee, A., & Langford, J. (2004). An objective evaluation criterion for clustering. In: 10th ACM SIGKDD international conference on knowledge discovery and data mining (pp. 515\u2013520).","DOI":"10.1145\/1014052.1014112"},{"issue":"6","key":"2290_CR8","doi-asserted-by":"publisher","first-page":"1","DOI":"10.1103\/PhysRevE.76.066102","volume":"76","author":"MJ Barber","year":"2007","unstructured":"Barber, M. J. (2007). Modularity and community detection in bipartite networks. Physical Review E, 76(6), 1\u201311.","journal-title":"Physical Review E"},{"key":"2290_CR9","doi-asserted-by":"publisher","unstructured":"Bharne, P. K., Gulhane, V., & Yewale, S. K. (2011). Data clustering algorithms based on swarm intelligence. In: 3rd international conference, electronics computer technology (ICECT) (pp. 407\u2013411).","DOI":"10.1109\/ICECTECH.2011.5941931"},{"issue":"1","key":"2290_CR10","doi-asserted-by":"publisher","first-page":"61","DOI":"10.1016\/j.asoc.2008.03.002","volume":"9","author":"U Boryczka","year":"2009","unstructured":"Boryczka, U. (2009). Finding groups in data: Cluster analysis with ants. Applied Soft Computing, 9(1), 61\u201370.","journal-title":"Applied Soft Computing"},{"issue":"4","key":"2290_CR11","doi-asserted-by":"publisher","first-page":"233","DOI":"10.1002\/(SICI)1097-4571(199105)42:4<233::AID-ASI1>3.0.CO;2-I","volume":"42","author":"RR Braam","year":"1991","unstructured":"Braam, R. R., Moed, H. F., & Van Raan, A. F. (1991). Mapping of science by combined co-citation and word analysis I. Structural aspects. Journal of the American Society for information science, 42(4), 233.","journal-title":"Journal of the American Society for information science"},{"issue":"2","key":"2290_CR12","doi-asserted-by":"publisher","first-page":"208","DOI":"10.1002\/asi.20266","volume":"57","author":"P Calado","year":"2006","unstructured":"Calado, P., et al. (2006). Link-based similarity measures for the classification of Web documents. Journal of the American Society for Information Science and Technology, 57(2), 208\u2013221.","journal-title":"Journal of the American Society for Information Science and Technology"},{"issue":"4","key":"2290_CR13","doi-asserted-by":"publisher","first-page":"272","DOI":"10.1016\/j.joi.2008.09.005","volume":"2","author":"C Calero-Medina","year":"2008","unstructured":"Calero-Medina, C., & Noyons, E. C. (2008). Combining mapping and citation network analysis for a better understanding of the scientific development: The case of the absorptive capacity field. Journal of Informetrics, 2(4), 272\u2013279.","journal-title":"Journal of Informetrics"},{"key":"2290_CR15","doi-asserted-by":"publisher","unstructured":"Couto, T., et al. (2006). A comparative study of citations and links in document classification. In: 6th ACM\/IEEE-CS joint conference on digital libraries (pp. 75\u201384).","DOI":"10.1145\/1141753.1141766"},{"key":"2290_CR16","doi-asserted-by":"publisher","unstructured":"Fern, X. Z., & Brodley, C. E. (2004). Solving cluster ensemble problems by bipartite graph partitioning. In: Twenty-first international conference on Machine learning (p 36).","DOI":"10.1145\/1015330.1015414"},{"key":"2290_CR17","doi-asserted-by":"publisher","first-page":"309","DOI":"10.1007\/3-540-48219-9_31","volume-title":"In multiple classifier systems","author":"A Fred","year":"2001","unstructured":"Fred, A. (2001). In multiple classifier systems (pp. 309\u2013318). Heidelberg: Springer."},{"key":"2290_CR18","doi-asserted-by":"publisher","unstructured":"Fred, A. L., & Jain, A. K. (2002). Data clustering using evidence accumulation. In: 16th international conference on pattern recognition (pp. 276\u2013280).","DOI":"10.1109\/ICPR.2002.1047450"},{"key":"2290_CR19","doi-asserted-by":"publisher","first-page":"442","DOI":"10.1007\/3-540-70659-3_46","volume-title":"Structural, syntactic, and statistical pattern recognition","author":"A Fred","year":"2002","unstructured":"Fred, A., & Jain, A. K. (2002b). Structural, syntactic, and statistical pattern recognition (pp. 442\u2013451). Heidelberg: Springer."},{"issue":"3","key":"2290_CR20","doi-asserted-by":"publisher","first-page":"036102","DOI":"10.1103\/PhysRevE.76.036102","volume":"76","author":"R Guimer\u00e0","year":"2007","unstructured":"Guimer\u00e0, R., Sales-Pardo, M., & Amaral, L. A. N. (2007). Module identification in bipartite and directed networks. Physical Review E, 76(3), 036102.","journal-title":"Physical Review E"},{"issue":"1","key":"2290_CR21","first-page":"17","volume":"19","author":"HY Guo","year":"2005","unstructured":"Guo, H. Y. (2005). Research and development of multi-sensor information fusion technology. Bulletin of National Science Foundation of China, 19(1), 17\u201321.","journal-title":"Bulletin of National Science Foundation of China"},{"issue":"007","key":"2290_CR22","first-page":"1094","volume":"30","author":"MF Han","year":"2014","unstructured":"Han, M. F., & Zhu, Y. P. (2014). Applications of meta-analysis in multi-omics. Chinese Journal of Biotechnology, 30(007), 1094\u20131104.","journal-title":"Chinese Journal of Biotechnology"},{"key":"2290_CR23","unstructured":"He, X., Ding, C. H., Zha, H., & Simon, H. D. (2001). Automatic topic identification using webpage clustering. In IEEE International Conference on Data Mining, ICDM 2001 (pp. 195\u2013202)."},{"issue":"1","key":"2290_CR24","doi-asserted-by":"publisher","first-page":"19","DOI":"10.1016\/S0167-9473(02)00070-1","volume":"41","author":"X He","year":"2002","unstructured":"He, X., Zha, H., Ding, C. H., & Simon, H. D. (2002). Web document clustering using hyperlink structures. Computational Statistics & Data Analysis, 41(1), 19\u201345.","journal-title":"Computational Statistics & Data Analysis"},{"issue":"11","key":"2290_CR25","first-page":"16","volume":"36","author":"BL Hua","year":"2013","unstructured":"Hua, B. L. (2013). Research on the methods of multi-source fusion. Information Studies: Theory & Application, 36(11), 16\u201319.","journal-title":"Information Studies: Theory & Application"},{"issue":"1","key":"2290_CR26","doi-asserted-by":"publisher","first-page":"193","DOI":"10.1007\/BF01908075","volume":"2","author":"L Hubert","year":"1985","unstructured":"Hubert, L., & Arabie, P. (1985). Comparing partitions. Journal of Classification, 2(1), 193\u2013218.","journal-title":"Journal of Classification"},{"key":"2290_CR27","first-page":"124","volume-title":"Clustering of scientific fields by integrating text mining and bibliometrics","author":"F Janssens","year":"2007","unstructured":"Janssens, F. (2007). Clustering of scientific fields by integrating text mining and bibliometrics (pp. 124\u2013129). Leuven: Katholieke Universiteit Leuven."},{"issue":"3","key":"2290_CR28","doi-asserted-by":"publisher","first-page":"607","DOI":"10.1007\/s11192-007-2002-7","volume":"75","author":"F Janssens","year":"2008","unstructured":"Janssens, F., Gl\u00e4nzel, W., & De Moor, B. (2008). A hybrid mapping of information science. Scientometrics, 75(3), 607\u2013631.","journal-title":"Scientometrics"},{"issue":"6","key":"2290_CR29","doi-asserted-by":"publisher","first-page":"683","DOI":"10.1016\/j.ipm.2009.06.003","volume":"45","author":"F Janssens","year":"2009","unstructured":"Janssens, F., Zhang, L., De Moor, B., & Gl\u00e4nzel, W. (2009). Hybrid clustering for validation and improvement of subject-classification schemes. Information Processing and Management, 45(6), 683\u2013702.","journal-title":"Information Processing and Management"},{"issue":"1","key":"2290_CR30","doi-asserted-by":"publisher","first-page":"28","DOI":"10.1016\/j.inffus.2011.08.001","volume":"14","author":"B Khaleghi","year":"2013","unstructured":"Khaleghi, B., Khamis, A., Karray, F. O., & Razavi, S. N. (2013). Multisensor data fusion: A review of the state-of-the-art. Information Fusion, 14(1), 28\u201344.","journal-title":"Information Fusion"},{"issue":"3","key":"2290_CR31","doi-asserted-by":"publisher","first-page":"475","DOI":"10.1007\/s11192-006-0125-x","volume":"68","author":"R Klavans","year":"2006","unstructured":"Klavans, R., & Boyack, K. W. (2006). Quantitative evaluation of large maps of science. Scientometrics, 68(3), 475\u2013499.","journal-title":"Scientometrics"},{"key":"2290_CR32","doi-asserted-by":"publisher","first-page":"28","DOI":"10.1007\/3-540-28349-8","volume-title":"Grouping multidimensional data","author":"J Kogan","year":"2006","unstructured":"Kogan, J., Nicholas, C., & Teboulle, M. (2006). Grouping multidimensional data (pp. 28\u201329). Heidelberg: Springer."},{"issue":"1","key":"2290_CR33","doi-asserted-by":"publisher","first-page":"31","DOI":"10.1016\/j.socnet.2007.04.006","volume":"30","author":"M Latapy","year":"2008","unstructured":"Latapy, M., Magnien, C., & Del Vecchio, N. (2008). Basic notions for the analysis of large two-mode networks. Social Networks, 30(1), 31\u201348.","journal-title":"Social Networks"},{"key":"2290_CR34","doi-asserted-by":"publisher","unstructured":"Leydesdorff, L. (2010). What can heterogeneity add to the scientometric map? Steps towards algorithmic historiography. In D\u00e9bordements M\u00e9langes Offerts \u00c0 Michel Callon (pp. 283\u2013289).","DOI":"10.4000\/books.pressesmines.756"},{"key":"2290_CR35","doi-asserted-by":"publisher","unstructured":"Meil\u01ce, M. (2005). Comparing clusterings: an axiomatic view. In: 22nd international conference on machine learning (pp. 577\u2013584).","DOI":"10.1145\/1102351.1102424"},{"issue":"1\u20132","key":"2290_CR36","doi-asserted-by":"publisher","first-page":"9","DOI":"10.1023\/A:1007648401407","volume":"42","author":"M Meil\u0103","year":"2001","unstructured":"Meil\u0103, M., & Heckerman, D. (2001). An experimental comparison of model-based clustering methods. Machine Learning, 42(1\u20132), 9\u201329.","journal-title":"Machine Learning"},{"issue":"1","key":"2290_CR37","doi-asserted-by":"publisher","first-page":"91","DOI":"10.1023\/A:1023949509487","volume":"52","author":"S Monti","year":"2003","unstructured":"Monti, S., Tamayo, P., Mesirov, J., & Golub, T. (2003). Consensus clustering: a resampling-based method for class discovery and visualization of gene expression microarray data. Machine Learning, 52(1), 91\u2013118.","journal-title":"Machine Learning"},{"issue":"1","key":"2290_CR38","first-page":"19","volume":"9","author":"A Mooghali","year":"2011","unstructured":"Mooghali, A., Alijani, R., Karami, N., & Khasseh, A. (2011). Scientometric analysis of the scientometric literature. International Journal of Information Science and Management, 9(1), 19\u201329.","journal-title":"International Journal of Information Science and Management"},{"issue":"4","key":"2290_CR39","doi-asserted-by":"publisher","first-page":"841","DOI":"10.1016\/S0360-8352(02)00143-2","volume":"43","author":"S Morris","year":"2002","unstructured":"Morris, S., DeYong, C., Wu, Z., Salman, S., & Yemenu, D. (2002). DIVA:a visualization system for exploring document databases for technology forecasting. Computers & Industrial Engineering, 43(4), 841\u2013862.","journal-title":"Computers & Industrial Engineering"},{"issue":"1","key":"2290_CR40","doi-asserted-by":"publisher","first-page":"213","DOI":"10.1002\/aris.2008.1440420113","volume":"42","author":"SA Morris","year":"2008","unstructured":"Morris, S. A., & Van der Veer Martens, B. (2008). Mapping research specialties. Annual Review of Information Science and Technology, 42(1), 213\u2013295.","journal-title":"Annual Review of Information Science and Technology"},{"issue":"suppl 1","key":"2290_CR41","doi-asserted-by":"publisher","first-page":"5291","DOI":"10.1073\/pnas.0307604100","volume":"101","author":"SA Morris","year":"2004","unstructured":"Morris, S. A., & Yen, G. G. (2004). Crossmaps visualization of overlapping relationships in collections of journal papers. Proceedings of the National Academy of Sciences, 101(suppl 1), 5291\u20135296.","journal-title":"Proceedings of the National Academy of Sciences"},{"key":"2290_CR42","first-page":"116","volume-title":"Research on knowledge discovery method based on multiple co-occurrence","author":"HS Pang","year":"2012","unstructured":"Pang, H. S. (2012). Research on knowledge discovery method based on multiple co-occurrence (pp. 116\u2013119). Beijing: University of Chinese Academy of Science."},{"key":"2290_CR43","doi-asserted-by":"publisher","unstructured":"Pavlidis, P., Weston, J., Cai, J., & Grundy, W. N. (2001). Gene functional classification from heterogeneous data. In Proceedings of the fifth annual international conference on computational biology (pp. 249\u2013255).","DOI":"10.1145\/369133.369228"},{"issue":"1","key":"2290_CR44","doi-asserted-by":"publisher","first-page":"929","DOI":"10.1007\/s11192-014-1402-8","volume":"102","author":"S Ravikumar","year":"2015","unstructured":"Ravikumar, S., Agrahari, A., & Singh, S. N. (2015). Mapping the intellectual structure of scientometrics: A co-word analysis of the journal Scientometrics (2005\u20132010). Scientometrics, 102(1), 929\u2013955.","journal-title":"Scientometrics"},{"key":"2290_CR45","doi-asserted-by":"publisher","first-page":"465","DOI":"10.1016\/j.ast.2014.06.005","volume":"39","author":"S Safari","year":"2014","unstructured":"Safari, S., Shabani, F., & Simon, D. (2014). Multirate multisensor data fusion for linear systems using Kalman filters and a neural network. Aerospace Science and Technology, 39, 465\u2013471.","journal-title":"Aerospace Science and Technology"},{"key":"2290_CR14","unstructured":"Scientometrics. Journal Description. \n                        http:\/\/link.springer.com\/journal\/11192\n                        \n                    . 2016-7-14."},{"issue":"3","key":"2290_CR46","doi-asserted-by":"publisher","first-page":"571","DOI":"10.1002\/asi.20994","volume":"60","author":"N Shibata","year":"2009","unstructured":"Shibata, N., Kajikawa, Y., Takeda, Y., & Matsushima, K. (2009). Comparative study on methods of detecting research fronts using different types of citation. Journal of the American Society for Information Science and Technology, 60(3), 571\u2013580.","journal-title":"Journal of the American Society for Information Science and Technology"},{"issue":"1\u20132","key":"2290_CR47","doi-asserted-by":"publisher","first-page":"125","DOI":"10.1007\/BF02457973","volume":"41","author":"H Small","year":"1998","unstructured":"Small, H. (1998). A general framework for creating large-scale maps of science in two or three dimensions: The SciViz system. Scientometrics, 41(1\u20132), 125\u2013133.","journal-title":"Scientometrics"},{"key":"2290_CR48","doi-asserted-by":"publisher","first-page":"16","DOI":"10.1016\/j.inffus.2015.01.002","volume":"25","author":"L Snidaro","year":"2015","unstructured":"Snidaro, L., Garc\u00eda, J., & Llinas, J. (2015). Context-based information fusion: a survey and discussion. Information Fusion, 25, 16\u201331.","journal-title":"Information Fusion"},{"key":"2290_CR49","first-page":"583","volume":"3","author":"A Strehl","year":"2003","unstructured":"Strehl, A., & Ghosh, J. (2003). Cluster ensembles-a knowledge reuse framework for combining multiple partitions. The Journal of Machine Learning Research, 3, 583\u2013617.","journal-title":"The Journal of Machine Learning Research"},{"key":"2290_CR72","first-page":"16","volume-title":"On methods of multiple relations fusion in research field analysis","author":"N Su","year":"2011","unstructured":"Su, N. (2011). On methods of multiple relations fusion in research field analysis (pp. 16\u201320). Beijing: University of Chinese academy of science."},{"issue":"9","key":"2290_CR50","first-page":"1309","volume":"28","author":"N Su","year":"2010","unstructured":"Su, N., & Zhang, Z. Q. (2010). On the multiple relation fusion research in scientometrics. Information Science, 28(9), 1309\u20131313.","journal-title":"Information Science"},{"key":"2290_CR51","doi-asserted-by":"publisher","unstructured":"Tang, W., Xiong, H., Zhong, S., & Wu, J. (2007). Enhancing semi-supervised clustering: A feature projection perspective. In: 13th ACM SIGKDD international conference on knowledge discovery and data mining (pp. 707\u2013716).","DOI":"10.1145\/1281192.1281268"},{"issue":"1","key":"2290_CR52","first-page":"28","volume":"34","author":"L Teng","year":"2015","unstructured":"Teng, L. (2015). Research on hybrid co-occurrence network of author-Institution-country based on supernetwork. Journal of The China Society for Scientific and Technical Information, 34(1), 28\u201336.","journal-title":"Journal of The China Society for Scientific and Technical Information"},{"key":"2290_CR53","doi-asserted-by":"publisher","unstructured":"Topchy, A., Jain, A. K., & Punch, W. (2004). A mixture model for clustering ensembles. Society for industrial and applied mathematics. In SIAM International Conference on Data Mining (pp. 379).","DOI":"10.1137\/1.9781611972740.35"},{"issue":"3","key":"2290_CR54","doi-asserted-by":"publisher","first-page":"377","DOI":"10.1007\/s11192-006-0118-9","volume":"68","author":"P Besselaar Van Den","year":"2006","unstructured":"Van Den Besselaar, P., & Heimeriks, G. (2006). Mapping research topics using word-reference co-occurrences: A method and an exploratory case study. Scientometrics., 68(3), 377\u2013393.","journal-title":"Scientometrics."},{"issue":"1","key":"2290_CR55","doi-asserted-by":"publisher","first-page":"205","DOI":"10.1007\/BF02461131","volume":"38","author":"A Raan Van","year":"1997","unstructured":"Van Raan, A. (1997). Scientometrics: State-of-the-art. Scientometrics., 38(1), 205\u2013218.","journal-title":"Scientometrics."},{"issue":"7","key":"2290_CR56","doi-asserted-by":"publisher","first-page":"1149","DOI":"10.1109\/TNN.2011.2147798","volume":"22","author":"Y Wang","year":"2011","unstructured":"Wang, Y., Jiang, Y., Wu, Y., & Zhou, Z. H. (2011). Spectral clustering on multiple manifolds. IEEE Transactions on Neural Networks, 22(7), 1149\u20131161.","journal-title":"IEEE Transactions on Neural Networks"},{"key":"2290_CR57","doi-asserted-by":"publisher","unstructured":"Wang, Y., & Kitsuregawa, M. (2002). Evaluating contents-link coupled web page clustering for web search results. In ACM CIKM international conference on information and knowledge management (pp. 499\u2013506).","DOI":"10.1145\/584792.584875"},{"issue":"3","key":"2290_CR58","doi-asserted-by":"publisher","first-page":"333","DOI":"10.1038\/nmeth.2810","volume":"11","author":"B Wang","year":"2014","unstructured":"Wang, B., Mezlini, A. M., Demir, F., Fiume, M., Tu, Z., Brudno, M., et al. (2014). Similarity network fusion for aggregating data types on a genomic scale. Nature Methods, 11(3), 333\u2013337.","journal-title":"Nature Methods"},{"key":"2290_CR59","first-page":"117","volume":"11","author":"XQ Wei","year":"2014","unstructured":"Wei, X. Q., & Li, C. L. (2014). The research of science collaboration behavior based on author-year-keyword network\u2014The case of the library and information science. Journal of Intelligence, 11, 117\u2013123.","journal-title":"Journal of Intelligence"},{"key":"2290_CR60","first-page":"74","volume":"08","author":"XQ Wei","year":"2014","unstructured":"Wei, X. Q., Li, C. L., & Liu, F. F. (2014). Construction and visualization of 3-mode network: A literature study of knowledge management of library and information science. Information Studies: Theory & Application, 08, 74\u201378.","journal-title":"Information Studies: Theory & Application"},{"key":"2290_CR61","doi-asserted-by":"publisher","unstructured":"Weiss, R., V\u00e9lez, B., & Sheldon, M. A. (1996). HyPursuit: A hierarchical network search engine that exploits content-link hypertext clustering. In: 7th ACM conference on hypertext (pp. 180\u2013193).","DOI":"10.1145\/234828.234846"},{"issue":"2","key":"2290_CR62","first-page":"158","volume":"33","author":"HY Xu","year":"2014","unstructured":"Xu, H. Y., & Fang, S. (2014). Core patents mining based on cross co-occurrence analysis to patent technology-effect subject terms and citations. Library and Information Service, 33(2), 158\u2013166.","journal-title":"Library and Information Service"},{"key":"2290_CR63","doi-asserted-by":"publisher","first-page":"10","DOI":"10.1016\/j.inffus.2015.07.001","volume":"28","author":"Z Xu","year":"2016","unstructured":"Xu, Z., & Zhao, N. (2016). Information fusion for intuitionistic fuzzy decision making: an overview. Information Fusion, 28, 10\u201323.","journal-title":"Information Fusion"},{"key":"2290_CR64","doi-asserted-by":"publisher","unstructured":"Yang, Y., Kamel, M. S., & Jin, F. (2006). ART-based clustering aggregation. In IEEE international conference on granular computing (pp. 482\u2013485).","DOI":"10.1109\/GRC.2006.1635845"},{"issue":"6","key":"2290_CR65","first-page":"1630","volume":"25","author":"Y Yang","year":"2008","unstructured":"Yang, Y., Xin, F., & Mohamed, K. (2008). Survey of clustering validity evaluation. Application Research of Computers, 25(6), 1630\u20131632.","journal-title":"Application Research of Computers"},{"key":"2290_CR66","doi-asserted-by":"publisher","DOI":"10.1016\/j.ijinfomgt.2016.04.014","author":"I Yaqoob","year":"2016","unstructured":"Yaqoob, I., Chang, V., Gani, A., Mokhtar, S., Hashem, I. A. T., Ahmed, E., et al. (2016). Information fusion in social big data: Foundations, state-of-the-art, applications, challenges, and future research directions. International Journal of Information Management. doi:\n                        10.1016\/j.ijinfomgt.2016.04.014\n                        \n                    .","journal-title":"International Journal of Information Management"},{"key":"2290_CR67","doi-asserted-by":"publisher","unstructured":"Yi, J. F, Yang, T. B, Jin, R., Jain, A. K., & Mahdavi, M. (2012). Robust ensemble clustering by matrix completion. In 2012 IEEE 12th international conference on data mining (pp. 1176\u20131181).","DOI":"10.1109\/ICDM.2012.123"},{"issue":"3","key":"2290_CR68","first-page":"378","volume":"30","author":"H Zhang","year":"2007","unstructured":"Zhang, H., Wang, X. Y., & Cui, L. Trend. (2007). Co-word analysis method combined with literature CI research thematic areas. Information Studies: Theory & Application, 30(3), 378\u2013380.","journal-title":"Information Studies: Theory & Application"},{"issue":"6","key":"2290_CR69","doi-asserted-by":"publisher","first-page":"2214","DOI":"10.1016\/j.patcog.2011.11.017","volume":"45","author":"S Zhang","year":"2012","unstructured":"Zhang, S., Wong, H. S., & Shen, Y. (2012). Generalized adjusted rand indices for cluster ensembles. Pattern Recognition, 45(6), 2214\u20132226.","journal-title":"Pattern Recognition"},{"issue":"6","key":"2290_CR70","doi-asserted-by":"publisher","first-page":"1486","DOI":"10.3724\/SP.J.1001.2012.04073","volume":"23","author":"WZ Zhao","year":"2012","unstructured":"Zhao, W. Z., Ma, W. Z., Li, Z. Q., & Shi, Z. Z. (2012). Efficiently active learning for semi-supervised document clustering. Journal of Software, 23(6), 1486\u20131499.","journal-title":"Journal of Software"},{"issue":"1","key":"2290_CR71","doi-asserted-by":"publisher","first-page":"77","DOI":"10.1016\/j.knosys.2005.11.003","volume":"19","author":"ZH Zhou","year":"2006","unstructured":"Zhou, Z. H., & Tang, W. (2006). Clusterer ensemble. Knowledge-Based Systems, 19(1), 77\u201383.","journal-title":"Knowledge-Based Systems"}],"container-title":["Scientometrics"],"original-title":[],"language":"en","link":[{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/s11192-017-2290-5.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"http:\/\/link.springer.com\/article\/10.1007\/s11192-017-2290-5\/fulltext.html","content-type":"text\/html","content-version":"vor","intended-application":"text-mining"},{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/s11192-017-2290-5.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2020,5,17]],"date-time":"2020-05-17T15:49:08Z","timestamp":1589730548000},"score":1,"resource":{"primary":{"URL":"http:\/\/link.springer.com\/10.1007\/s11192-017-2290-5"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2017,2,15]]},"references-count":72,"journal-issue":{"issue":"2","published-print":{"date-parts":[[2017,5]]}},"alternative-id":["2290"],"URL":"https:\/\/doi.org\/10.1007\/s11192-017-2290-5","relation":{},"ISSN":["0138-9130","1588-2861"],"issn-type":[{"type":"print","value":"0138-9130"},{"type":"electronic","value":"1588-2861"}],"subject":[],"published":{"date-parts":[[2017,2,15]]}}}