{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,10,25]],"date-time":"2025-10-25T12:20:54Z","timestamp":1761394854621},"publisher-location":"Cham","reference-count":24,"publisher":"Springer International Publishing","isbn-type":[{"type":"print","value":"9783319422930"},{"type":"electronic","value":"9783319422947"}],"license":[{"start":{"date-parts":[[2016,1,1]],"date-time":"2016-01-01T00:00:00Z","timestamp":1451606400000},"content-version":"unspecified","delay-in-days":0,"URL":"http:\/\/www.springer.com\/tdm"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2016]]},"DOI":"10.1007\/978-3-319-42294-7_7","type":"book-chapter","created":{"date-parts":[[2016,7,11]],"date-time":"2016-07-11T15:00:47Z","timestamp":1468249247000},"page":"81-92","source":"Crossref","is-referenced-by-count":8,"title":["Enhancing Link Prediction Using Gradient Boosting Features"],"prefix":"10.1007","author":[{"given":"Taisong","family":"Li","sequence":"first","affiliation":[]},{"given":"Jing","family":"Wang","sequence":"additional","affiliation":[]},{"given":"Manshu","family":"Tu","sequence":"additional","affiliation":[]},{"given":"Yan","family":"Zhang","sequence":"additional","affiliation":[]},{"given":"Yonghong","family":"Yan","sequence":"additional","affiliation":[]}],"member":"297","published-online":{"date-parts":[[2016,7,12]]},"reference":[{"issue":"7","key":"7_CR1","doi-asserted-by":"crossref","first-page":"1019","DOI":"10.1002\/asi.20591","volume":"58","author":"D Liben-Nowell","year":"2007","unstructured":"Liben-Nowell, D., Kleinberg, J.: The link-prediction problem for social networks. J. Am. Soc. Inform. Sci. Technol. 58(7), 1019\u20131031 (2007)","journal-title":"J. Am. Soc. Inform. Sci. Technol."},{"issue":"6","key":"7_CR2","doi-asserted-by":"crossref","first-page":"1150","DOI":"10.1016\/j.physa.2010.11.027","volume":"390","author":"L L\u00fc","year":"2011","unstructured":"L\u00fc, L., Zhou, T.: Link prediction in complex networks: a survey. Physica A 390(6), 1150\u20131170 (2011)","journal-title":"Physica A"},{"issue":"1","key":"7_CR3","first-page":"1","volume":"58","author":"P Wang","year":"2015","unstructured":"Wang, P., Xu, B., Wu, Y., Zhou, X.: Link prediction in social networks: the state-of-the-art. Sci. China Inf. Sci. 58(1), 1\u201338 (2015)","journal-title":"Sci. China Inf. Sci."},{"issue":"2","key":"7_CR4","doi-asserted-by":"crossref","first-page":"025102","DOI":"10.1103\/PhysRevE.64.025102","volume":"64","author":"ME Newman","year":"2001","unstructured":"Newman, M.E.: Clustering and preferential attachment in growing networks. Phys. Rev. E 64(2), 025102 (2001)","journal-title":"Phys. Rev. E"},{"issue":"3","key":"7_CR5","doi-asserted-by":"crossref","first-page":"211","DOI":"10.1016\/S0378-8733(03)00009-1","volume":"25","author":"LA Adamic","year":"2003","unstructured":"Adamic, L.A., Adar, E.: Friends and neighbors on the web. Soc. Netw. 25(3), 211\u2013230 (2003)","journal-title":"Soc. Netw."},{"issue":"3","key":"7_CR6","doi-asserted-by":"crossref","first-page":"590","DOI":"10.1016\/S0378-4371(02)00736-7","volume":"311","author":"AL Barab\u00e1si","year":"2002","unstructured":"Barab\u00e1si, A.L., Jeong, H., N\u00e9da, Z., Ravasz, E., Schubert, A., Vicsek, T.: Evolution of the social network of scientific collaborations. Physica A 311(3), 590\u2013614 (2002)","journal-title":"Physica A"},{"key":"7_CR7","doi-asserted-by":"crossref","unstructured":"Sun, Y., Han, J., Aggarwal, C.C., Chawla, N.V.: When will it happen?: Relationship prediction in heterogeneous information networks. In: Proceedings of the Fifth ACM International Conference on Web Search and Data Mining, pp. 663\u2013672. ACM, February 2012","DOI":"10.1145\/2124295.2124373"},{"key":"7_CR8","doi-asserted-by":"crossref","unstructured":"Lu, Z., Savas, B., Tang, W., Dhillon, I.S.: Supervised link prediction using multiple sources. In: 2010 IEEE 10th International Conference on Data Mining (ICDM), pp. 923\u2013928. IEEE, December 2010","DOI":"10.1109\/ICDM.2010.112"},{"key":"7_CR9","series-title":"Lecture Notes in Computer Science","doi-asserted-by":"crossref","first-page":"476","DOI":"10.1007\/978-3-642-35176-1_30","volume-title":"The Semantic Web \u2013 ISWC 2012","author":"M Rowe","year":"2012","unstructured":"Rowe, M., Stankovic, M., Alani, H.: Who will follow whom? Exploiting semantics for link prediction in attention-information networks. In: Cudr\u00e9-Mauroux, P., et al. (eds.) ISWC 2012, Part I. LNCS, vol. 7649, pp. 476\u2013491. Springer, Heidelberg (2012)"},{"key":"7_CR10","unstructured":"Sachan, M., Ichise, R.: Using semantic information to improve link prediction results in network datasets. Int. J. Comput. Theory Eng. 71\u201376 (2011)"},{"key":"7_CR11","doi-asserted-by":"crossref","unstructured":"De S\u00e1, H.R., Prud\u00eancio, R.B.: Supervised link prediction in weighted networks. In: The 2011 International Joint Conference on Neural Networks (IJCNN), pp. 2281\u20132288. IEEE, July 2011","DOI":"10.1109\/IJCNN.2011.6033513"},{"key":"7_CR12","doi-asserted-by":"crossref","unstructured":"Scellato, S., Noulas, A., Mascolo, C.: Exploiting place features in link prediction on location-based social networks. In: Proceedings of the 17th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, pp. 1046\u20131054. ACM, August 2011","DOI":"10.1145\/2020408.2020575"},{"key":"7_CR13","doi-asserted-by":"crossref","unstructured":"Tang, J., Zhang, J., Yao, L., Li, J., Zhang, L., Su, Z.: Arnetminer: extraction and mining of academic social networks. In: Proceedings of the 14th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, pp. 990\u2013998. ACM, August 2008","DOI":"10.1145\/1401890.1402008"},{"key":"7_CR14","doi-asserted-by":"crossref","unstructured":"He, X., Pan, J., Jin, O., Xu, T., Liu, B., Xu, T., et al.: Practical lessons from predicting clicks on ads at facebook. In: Proceedings of the Eighth International Workshop on Data Mining for Online Advertising, pp. 1\u20139. ACM, August 2014","DOI":"10.1145\/2648584.2648589"},{"key":"7_CR15","doi-asserted-by":"crossref","unstructured":"Manning, C.D., Raghavan, P., Sch\u00fctze, H.: Introduction to Information Retrieval, vol. 1, no. 1, p. 496. Cambridge University Press, Cambridge (2008)","DOI":"10.1017\/CBO9780511809071"},{"issue":"4","key":"7_CR16","doi-asserted-by":"crossref","first-page":"623","DOI":"10.1140\/epjb\/e2009-00335-8","volume":"71","author":"T Zhou","year":"2009","unstructured":"Zhou, T., L\u00fc, L., Zhang, Y.C.: Predicting missing links via local information. Eur. Phys. J. B 71(4), 623\u2013630 (2009)","journal-title":"Eur. Phys. J. B"},{"issue":"2","key":"7_CR17","doi-asserted-by":"crossref","first-page":"026120","DOI":"10.1103\/PhysRevE.73.026120","volume":"73","author":"EA Leicht","year":"2006","unstructured":"Leicht, E.A., Holme, P., Newman, M.E.: Vertex similarity in networks. Phys. Rev. E 73(2), 026120 (2006)","journal-title":"Phys. Rev. E"},{"key":"7_CR18","unstructured":"Ho, T.K.: Random decision forests. In: Proceedings of the Third International Conference on Document Analysis and Recognition, 1995, vol. 1. IEEE (1995)"},{"key":"7_CR19","unstructured":"Budur, E., Lee, S., Kong, V.S.: Structural Analysis of Criminal Network and Predicting Hidden Links using Machine Learning. arXiv preprint arXiv:1507.05739 (2015)"},{"key":"7_CR20","doi-asserted-by":"crossref","first-page":"321","DOI":"10.1613\/jair.953","volume":"16","author":"NV Chawla","year":"2002","unstructured":"Chawla, N.V., Bowyer, K.W., Hall, L.O., Kegelmeyer, W.P.: SMOTE: synthetic minority over-sampling technique. J. Artif. Intell. Res. 16, 321\u2013357 (2002)","journal-title":"J. Artif. Intell. Res."},{"key":"7_CR21","doi-asserted-by":"crossref","unstructured":"Yin, D., Hong, L., Davison, B.D.: Structural link analysis and prediction in microblogs. In: Proceedings of the 20th ACM International Conference on Information and Knowledge Management, pp. 1163\u20131168. ACM, October 2011","DOI":"10.1145\/2063576.2063743"},{"key":"7_CR22","first-page":"2825","volume":"12","author":"F Pedregosa","year":"2011","unstructured":"Pedregosa, F., Varoquaux, G., Gramfort, A., Michel, V., Thirion, B., Grisel, O., et al.: Scikit-Learn: machine learning in Python. J. Mach. Learn. Res. 12, 2825\u20132830 (2011)","journal-title":"J. Mach. Learn. Res."},{"key":"7_CR23","series-title":"Lecture Notes in Computer Science","first-page":"425","volume-title":"Neural Information Processing","author":"F Liu","year":"2013","unstructured":"Liu, F., Liu, B., Sun, C., Liu, M., Wang, X.: Deep learning approaches for link prediction in social network services. In: Lee, M., Hirose, A., Hou, Z.-G., Kil, R.M. (eds.) ICONIP 2013, Part II. LNCS, vol. 8227, pp. 425\u2013432. Springer, Heidelberg (2013)"},{"key":"7_CR24","doi-asserted-by":"crossref","unstructured":"Li, X., Du, N., Li, H., Li, K., Gao, J., Zhang, A.: A deep learning approach to link prediction in dynamic networks. In: SDM, vol. 14, pp. 289\u2013297 (2014)","DOI":"10.1137\/1.9781611973440.33"}],"container-title":["Lecture Notes in Computer Science","Intelligent Computing Theories and Application"],"original-title":[],"link":[{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/978-3-319-42294-7_7","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2019,9,11]],"date-time":"2019-09-11T00:29:45Z","timestamp":1568161785000},"score":1,"resource":{"primary":{"URL":"http:\/\/link.springer.com\/10.1007\/978-3-319-42294-7_7"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2016]]},"ISBN":["9783319422930","9783319422947"],"references-count":24,"URL":"https:\/\/doi.org\/10.1007\/978-3-319-42294-7_7","relation":{},"ISSN":["0302-9743","1611-3349"],"issn-type":[{"type":"print","value":"0302-9743"},{"type":"electronic","value":"1611-3349"}],"subject":[],"published":{"date-parts":[[2016]]}}}