{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,3,26]],"date-time":"2025-03-26T09:19:21Z","timestamp":1742980761284,"version":"3.40.3"},"publisher-location":"Cham","reference-count":35,"publisher":"Springer International Publishing","isbn-type":[{"type":"print","value":"9783030029210"},{"type":"electronic","value":"9783030029227"}],"license":[{"start":{"date-parts":[[2018,1,1]],"date-time":"2018-01-01T00:00:00Z","timestamp":1514764800000},"content-version":"tdm","delay-in-days":0,"URL":"http:\/\/www.springer.com\/tdm"}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2018]]},"DOI":"10.1007\/978-3-030-02922-7_17","type":"book-chapter","created":{"date-parts":[[2018,10,19]],"date-time":"2018-10-19T05:42:24Z","timestamp":1539927744000},"page":"247-261","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":6,"title":["NANE: Attributed Network Embedding with Local and Global Information"],"prefix":"10.1007","author":[{"given":"Jingjie","family":"Mo","sequence":"first","affiliation":[]},{"given":"Neng","family":"Gao","sequence":"additional","affiliation":[]},{"given":"Yujing","family":"Zhou","sequence":"additional","affiliation":[]},{"given":"Yang","family":"Pei","sequence":"additional","affiliation":[]},{"given":"Jiong","family":"Wang","sequence":"additional","affiliation":[]}],"member":"297","published-online":{"date-parts":[[2018,10,20]]},"reference":[{"key":"17_CR1","doi-asserted-by":"crossref","unstructured":"Belkin, M., Niyogi, P.: Laplacian Eigenmaps and spectral techniques for embedding and clustering. In: International Conference on Neural Information Processing Systems: Natural and Synthetic, pp. 585\u2013591 (2002)","DOI":"10.7551\/mitpress\/1120.003.0080"},{"key":"17_CR2","doi-asserted-by":"publisher","DOI":"10.1007\/978-1-4419-8462-3_5","volume-title":"Node Classification in Social Networks","author":"S Bhagat","year":"2011","unstructured":"Bhagat, S., Cormode, G., Muthukrishnan, S.: Node Classification in Social Networks. Springer, New York (2011)"},{"issue":"1","key":"17_CR3","doi-asserted-by":"publisher","first-page":"303","DOI":"10.1109\/SURV.2013.052213.00046","volume":"16","author":"MH Bhuyan","year":"2014","unstructured":"Bhuyan, M.H., Bhattacharyya, D.K., Kalita, J.K.: Network anomaly detection: methods, systems and tools. IEEE Commun. Surv. Tutor. 16(1), 303\u2013336 (2014)","journal-title":"IEEE Commun. Surv. Tutor."},{"key":"17_CR4","unstructured":"Burger, J.D., Henderson, J., Kim, G., Zarrella, G.: Discriminating gender on twitter. In: Conference on Empirical Methods in Natural Language Processing, pp. 1301\u20131309 (2011)"},{"key":"17_CR5","doi-asserted-by":"crossref","unstructured":"Cao, S., Lu, W., Xu, Q.: Deep neural networks for learning graph representations. In: Thirtieth AAAI Conference on Artificial Intelligence, pp. 1145\u20131152 (2016)","DOI":"10.1609\/aaai.v30i1.10179"},{"key":"17_CR6","doi-asserted-by":"crossref","unstructured":"Dong, Y., Zhang, J., Tang, J., Chawla, N.V., Wang, B.: Coupledlp: link prediction in coupled networks. In: ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, pp. 199\u2013208 (2015)","DOI":"10.1145\/2783258.2783329"},{"issue":"3","key":"17_CR7","first-page":"625","volume":"11","author":"D Erhan","year":"2010","unstructured":"Erhan, D., Bengio, Y., Courville, A., Manzagol, P.A., Vincent, P., Bengio, S.: Why does unsupervised pre-training help deep learning? J. Mach. Learn. Res. 11(3), 625\u2013660 (2010)","journal-title":"J. Mach. Learn. Res."},{"issue":"6","key":"17_CR8","doi-asserted-by":"publisher","first-page":"201","DOI":"10.2307\/202051","volume":"1","author":"M Granovetter","year":"1983","unstructured":"Granovetter, M.: The strength of weak ties: a network theory revisited. Sociol. Theory 1(6), 201\u2013233 (1983)","journal-title":"Sociol. Theory"},{"key":"17_CR9","doi-asserted-by":"crossref","unstructured":"Grover, A., Leskovec, J.: node2vec: Scalable feature learning for networks. In: KDD 2016, pp. 855\u2013864 (2016)","DOI":"10.1145\/2939672.2939754"},{"key":"17_CR10","doi-asserted-by":"crossref","unstructured":"Huang, X., Li, J., Hu, X.: Label informed attributed network embedding. In: Tenth ACM International Conference on Web Search and Data Mining, pp. 731\u2013739 (2017)","DOI":"10.1145\/3018661.3018667"},{"issue":"1","key":"17_CR11","doi-asserted-by":"publisher","first-page":"193","DOI":"10.1007\/BF01908075","volume":"2","author":"L Hubert","year":"1985","unstructured":"Hubert, L., Arabie, P.: Comparing partitions. J. Classification 2(1), 193\u2013218 (1985)","journal-title":"J. Classification"},{"issue":"2","key":"17_CR12","doi-asserted-by":"publisher","first-page":"405","DOI":"10.1086\/599247","volume":"115","author":"G Kossinets","year":"2009","unstructured":"Kossinets, G., Watts, D.J.: Origins of homophily in an evolving social network1. Am. J. Sociol. 115(2), 405\u2013450 (2009)","journal-title":"Am. J. Sociol."},{"key":"17_CR13","unstructured":"Le, Q.V., Mikolov, T.: Distributed representations of sentences and documents, vol. 4, p. II-1188 (2014)"},{"key":"17_CR14","doi-asserted-by":"crossref","unstructured":"Leskovec, J.: Graphs over time: densification laws, shrinking diameters, explanations and realistic generators. In: KDD, pp. 177\u2013187 (2005)","DOI":"10.1145\/1081870.1081893"},{"key":"17_CR15","unstructured":"Mcauley, J., Leskovec, J.: Learning to discover social circles in ego networks. In: International Conference on Neural Information Processing Systems, pp. 539\u2013547 (2012)"},{"issue":"2","key":"17_CR16","doi-asserted-by":"publisher","first-page":"127","DOI":"10.1023\/A:1009953814988","volume":"3","author":"AK Mccallum","year":"2000","unstructured":"Mccallum, A.K., Nigam, K., Rennie, J., Seymore, K.: Automating the construction of internet portals with machine learning. Inf. Retr. 3(2), 127\u2013163 (2000)","journal-title":"Inf. Retr."},{"issue":"3","key":"17_CR17","doi-asserted-by":"publisher","first-page":"370","DOI":"10.2307\/2095356","volume":"52","author":"JM Mcpherson","year":"1987","unstructured":"Mcpherson, J.M., Smith-Lovin, L.: Homophily in voluntary organizations: status distance and the composition of face-to-face groups. Am. Sociol. Rev. 52(3), 370\u2013379 (1987)","journal-title":"Am. Sociol. Rev."},{"issue":"6224","key":"17_CR18","doi-asserted-by":"publisher","first-page":"1257601","DOI":"10.1126\/science.1257601","volume":"347","author":"J Menche","year":"2015","unstructured":"Menche, J., et al.: Disease networks. Uncovering disease-disease relationships through the incomplete interactome. Science 347(6224), 1257601 (2015)","journal-title":"Science"},{"key":"17_CR19","unstructured":"Mikolov, T., Chen, K., Corrado, G., Dean, J.: Efficient estimation of word representations in vector space. In: Computer Science (2013)"},{"key":"17_CR20","unstructured":"Mikolov, T., Sutskever, I., Chen, K., Corrado, G., Dean, J.: Distributed representations of words and phrases and their compositionality, vol. 26, pp. 3111\u20133119 (2013)"},{"key":"17_CR21","unstructured":"Narayanan, A., Chandramohan, M., Chen, L., Liu, Y., Saminathan, S.: subgraph2vec: learning distributed representations of rooted sub-graphs from large graphs (2016)"},{"key":"17_CR22","unstructured":"Pan, S., Wu, J., Zhu, X., Zhang, C., Wang, Y.: Tri-party deep network representation. In: International Joint Conference on Artificial Intelligence, pp. 1895\u20131901 (2016)"},{"key":"17_CR23","doi-asserted-by":"crossref","unstructured":"Pennacchiotti, M., Popescu, A.M.: Democrats, republicans and starbucks afficionados: user classification in twitter. In: ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, pp. 430\u2013438 (2011)","DOI":"10.1145\/2020408.2020477"},{"key":"17_CR24","doi-asserted-by":"crossref","unstructured":"Perozzi, B., Al-Rfou, R., Skiena, S.: Deepwalk: online learning of social representations. In: ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, pp. 701\u2013710 (2014)","DOI":"10.1145\/2623330.2623732"},{"issue":"5500","key":"17_CR25","doi-asserted-by":"publisher","first-page":"2323","DOI":"10.1126\/science.290.5500.2323","volume":"290","author":"ST Roweis","year":"2000","unstructured":"Roweis, S.T., Saul, L.K.: Nonlinear dimensionality reduction by locally linear embedding. Science 290(5500), 2323\u20136 (2000)","journal-title":"Science"},{"issue":"7","key":"17_CR26","doi-asserted-by":"publisher","first-page":"969","DOI":"10.1016\/j.ijar.2008.11.006","volume":"50","author":"Ruslan Salakhutdinov","year":"2009","unstructured":"Salakhutdinov, R., Hinton, G.: Semantic Hashing. Elsevier Science Inc., Amsterdam (2009)","journal-title":"International Journal of Approximate Reasoning"},{"key":"17_CR27","doi-asserted-by":"crossref","unstructured":"Tang, J., Liu, J., Zhang, M., Mei, Q.: Visualizing large-scale and high-dimensional data, vol. 37(7), pp. 287\u2013297 (2016)","DOI":"10.1145\/2872427.2883041"},{"key":"17_CR28","doi-asserted-by":"crossref","unstructured":"Tang, J., Qu, M., Wang, M., Zhang, M., Yan, J., Mei, Q.: Line:large-scale information network embedding, vol. 2, pp. 1067\u20131077 (2015)","DOI":"10.1145\/2736277.2741093"},{"issue":"5500","key":"17_CR29","doi-asserted-by":"publisher","first-page":"2319","DOI":"10.1126\/science.290.5500.2319","volume":"290","author":"JB Tenenbaum","year":"2000","unstructured":"Tenenbaum, J.B., Silva, V.D., Langford, J.C.: A global geometric framework for nonlinear dimensionality reduction. Science 290(5500), 2319 (2000)","journal-title":"Science"},{"issue":"16","key":"17_CR30","doi-asserted-by":"publisher","first-page":"4165","DOI":"10.1016\/j.physa.2011.12.021","volume":"391","author":"AL Traud","year":"2012","unstructured":"Traud, A.L., Mucha, P.J., Porter, M.A.: Social structure of facebook networks. Physica A Stat. Mech. Appl. 391(16), 4165\u20134180 (2012)","journal-title":"Physica A Stat. Mech. Appl."},{"key":"17_CR31","doi-asserted-by":"crossref","unstructured":"Tsur, O., Rappoport, A.: What\u2019s in a hashtag? Content based prediction of the spread of ideas in microblogging communities. In: ACM International Conference on Web Search and Data Mining, pp. 643\u2013652 (2012)","DOI":"10.1145\/2124295.2124320"},{"key":"17_CR32","doi-asserted-by":"crossref","unstructured":"Vinh, N.X., Epps, J., Bailey, J.: Information Theoretic Measures for Clusterings Comparison: Variants, Properties, Normalization and Correction for Chance (2010). JMLR.org","DOI":"10.1145\/1553374.1553511"},{"key":"17_CR33","doi-asserted-by":"crossref","unstructured":"Wang, D., Cui, P., Zhu, W.: Structural deep network embedding. In: ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, pp. 1225\u20131234 (2016)","DOI":"10.1145\/2939672.2939753"},{"key":"17_CR34","unstructured":"Yang, C., Liu, Z., Zhao, D., Sun, M., Chang, E.Y.: Network representation learning with rich text information. In: International Conference on Artificial Intelligence, pp. 2111\u20132117 (2015)"},{"key":"17_CR35","doi-asserted-by":"crossref","unstructured":"Zhang, D., Yin, J., Zhu, X., Zhang, C.: User profile preserving social network embedding. In: Twenty-Sixth International Joint Conference on Artificial Intelligence, pp. 3378\u20133384 (2017)","DOI":"10.24963\/ijcai.2017\/472"}],"container-title":["Lecture Notes in Computer Science","Web Information Systems Engineering \u2013 WISE 2018"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/978-3-030-02922-7_17","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,3,12]],"date-time":"2024-03-12T08:48:53Z","timestamp":1710233333000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/978-3-030-02922-7_17"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2018]]},"ISBN":["9783030029210","9783030029227"],"references-count":35,"URL":"https:\/\/doi.org\/10.1007\/978-3-030-02922-7_17","relation":{},"ISSN":["0302-9743","1611-3349"],"issn-type":[{"type":"print","value":"0302-9743"},{"type":"electronic","value":"1611-3349"}],"subject":[],"published":{"date-parts":[[2018]]},"assertion":[{"value":"20 October 2018","order":1,"name":"first_online","label":"First Online","group":{"name":"ChapterHistory","label":"Chapter History"}},{"value":"WISE","order":1,"name":"conference_acronym","label":"Conference Acronym","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"International Conference on Web Information Systems Engineering","order":2,"name":"conference_name","label":"Conference Name","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Dubai","order":3,"name":"conference_city","label":"Conference City","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"United Arab Emirates","order":4,"name":"conference_country","label":"Conference Country","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"2018","order":5,"name":"conference_year","label":"Conference Year","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"12 November 2018","order":7,"name":"conference_start_date","label":"Conference Start Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"15 November 2018","order":8,"name":"conference_end_date","label":"Conference End Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"19","order":9,"name":"conference_number","label":"Conference Number","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"wise2018","order":10,"name":"conference_id","label":"Conference ID","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"http:\/\/wise2018.connect.rs\/","order":11,"name":"conference_url","label":"Conference URL","group":{"name":"ConferenceInfo","label":"Conference Information"}}]}}