{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,9,19]],"date-time":"2025-09-19T07:41:40Z","timestamp":1758267700147,"version":"3.41.0"},"publisher-location":"New York, New York, USA","reference-count":48,"publisher":"ACM Press","license":[{"start":{"date-parts":[[2018,1,1]],"date-time":"2018-01-01T00:00:00Z","timestamp":1514764800000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"funder":[{"name":"NSF CAREER Award","award":["1453800","1741634"],"award-info":[{"award-number":["1453800","1741634"]}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2018]]},"DOI":"10.1145\/3178876.3186102","type":"proceedings-article","created":{"date-parts":[[2018,4,13]],"date-time":"2018-04-13T15:53:48Z","timestamp":1523634828000},"page":"359-368","source":"Crossref","is-referenced-by-count":20,"title":["RaRE"],"prefix":"10.1145","author":[{"given":"Yupeng","family":"Gu","sequence":"first","affiliation":[{"name":"University of California, Los Angeles, Los Angeles, CA, USA"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Yizhou","family":"Sun","sequence":"additional","affiliation":[{"name":"University of California, Los Angeles, Los Angeles, CA, USA"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Yanen","family":"Li","sequence":"additional","affiliation":[{"name":"Snapchat Inc., Venice, CA, USA"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Yang","family":"Yang","sequence":"additional","affiliation":[{"name":"Zhejiang University, Hangzhou, China"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"320","reference":[{"key":"key-10.1145\/3178876.3186102-1","doi-asserted-by":"crossref","unstructured":"A. Ahmed, N. Shervashidze, S. Narayanamurthy, V. Josifovski, and A. J. Smola. Distributed large-scale natural graph factorization. In Proceedings of the 22nd international conference on World Wide Web, pages 37--48. ACM, 2013.","DOI":"10.1145\/2488388.2488393"},{"key":"key-10.1145\/3178876.3186102-2","doi-asserted-by":"crossref","unstructured":"B. Ball and M. E. Newman. Friendship networks and social status. Network Science, 1(01):16--30, 2013.","DOI":"10.1017\/nws.2012.4"},{"key":"key-10.1145\/3178876.3186102-3","doi-asserted-by":"crossref","unstructured":"A. Balmin, V. Hristidis, and Y. Papakonstantinou. Objectrank: Authority-based keyword search in databases. In Proceedings of the Thirtieth international conference on Very large data bases-Volume 30, pages 564--575. VLDB Endowment, 2004.","DOI":"10.1016\/B978-012088469-8.50051-6"},{"key":"key-10.1145\/3178876.3186102-4","doi-asserted-by":"crossref","unstructured":"A.-L. Barab&#225;si and R. Albert. Emergence of scaling in random networks. science, 286(5439):509--512, 1999.","DOI":"10.1126\/science.286.5439.509"},{"key":"key-10.1145\/3178876.3186102-5","doi-asserted-by":"crossref","unstructured":"M. Belkin and P. Niyogi. Laplacian eigenmaps and spectral techniques for embedding and clustering. In Advances in neural information processing systems, pages 585--591, 2002.","DOI":"10.7551\/mitpress\/1120.003.0080"},{"key":"key-10.1145\/3178876.3186102-6","unstructured":"R. M. Bell, Y. Koren, and C. Volinsky. The bellkor 2008 solution to the netflix prize. Statistics Research Department at AT&#38;T Research, 2008."},{"key":"key-10.1145\/3178876.3186102-7","doi-asserted-by":"crossref","unstructured":"P. Boldi and C. Monti. Cleansing wikipedia categories using centrality. In Proceedings of the 25th International Conference Companion on World Wide Web, pages 969--974. International World Wide Web Conferences Steering Committee, 2016.","DOI":"10.1145\/2872518.2891111"},{"key":"key-10.1145\/3178876.3186102-8","unstructured":"A. Bordes, N. Usunier, A. Garcia-Duran, J. Weston, and O. Yakhnenko. Translating embeddings for modeling multi-relational data. In Advances in neural information processing systems, pages 2787--2795, 2013."},{"key":"key-10.1145\/3178876.3186102-9","doi-asserted-by":"crossref","unstructured":"A. Bordes, J. Weston, R. Collobert, Y. Bengio, et al. Learning structured embeddings of knowledge bases. In AAAI, volume 6, page 6, 2011.","DOI":"10.1609\/aaai.v25i1.7917"},{"key":"key-10.1145\/3178876.3186102-10","doi-asserted-by":"crossref","unstructured":"R. A. Bradley and M. E. Terry. Rank analysis of incomplete block designs: I. the method of paired comparisons. Biometrika, 39(3\/4):324--345, 1952.","DOI":"10.2307\/2334029"},{"key":"key-10.1145\/3178876.3186102-11","doi-asserted-by":"crossref","unstructured":"U. Brandes and S. Cornelsen. Visual ranking of link structures. J. Graph Algorithms Appl., 7(2):181--201, 2003.","DOI":"10.7155\/jgaa.00066"},{"key":"key-10.1145\/3178876.3186102-12","doi-asserted-by":"crossref","unstructured":"C. Burges, T. Shaked, E. Renshaw, A. Lazier, M. Deeds, N. Hamilton, and G. Hullender. Learning to rank using gradient descent. In Proceedings of the 22nd international conference on Machine learning, pages 89--96. ACM, 2005.","DOI":"10.1145\/1102351.1102363"},{"key":"key-10.1145\/3178876.3186102-13","doi-asserted-by":"crossref","unstructured":"S. Cao, W. Lu, and Q. Xu. Grarep: Learning graph representations with global structural information. In Proceedings of the 24th ACM International on Conference on Information and Knowledge Management, pages 891--900. ACM, 2015.","DOI":"10.1145\/2806416.2806512"},{"key":"key-10.1145\/3178876.3186102-14","doi-asserted-by":"crossref","unstructured":"S. Chang, W. Han, J. Tang, G.-J. Qi, C. C. Aggarwal, and T. S. Huang. Heterogeneous network embedding via deep architectures. In Proceedings of the 21th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, pages 119--128. ACM, 2015.","DOI":"10.1145\/2783258.2783296"},{"key":"key-10.1145\/3178876.3186102-15","doi-asserted-by":"crossref","unstructured":"J. Cho, H. Garcia-Molina, and L. Page. Efficient crawling through url ordering. Computer Networks and ISDN Systems, 30(1):161--172, 1998.","DOI":"10.1016\/S0169-7552(98)00108-1"},{"key":"key-10.1145\/3178876.3186102-16","doi-asserted-by":"crossref","unstructured":"A. Grover and J. Leskovec. node2vec: Scalable feature learning for networks. In Proceedings of the 22nd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, pages 855--864. ACM, 2016.","DOI":"10.1145\/2939672.2939754"},{"key":"key-10.1145\/3178876.3186102-17","doi-asserted-by":"crossref","unstructured":"T. H. Haveliwala. Topic-sensitive pagerank. In Proceedings of the 11th international conference on World Wide Web, pages 517--526. ACM, 2002.","DOI":"10.1145\/511446.511513"},{"key":"key-10.1145\/3178876.3186102-18","doi-asserted-by":"crossref","unstructured":"P. D. Hoff, A. E. Raftery, and M. S. Handcock. Latent space approaches to social network analysis. Journal of the american Statistical association, 97(460):1090--1098, 2002.","DOI":"10.1198\/016214502388618906"},{"key":"key-10.1145\/3178876.3186102-19","doi-asserted-by":"crossref","unstructured":"Y. Hu, Y. Koren, and C. Volinsky. Collaborative filtering for implicit feedback datasets. In Data Mining, 2008. ICDM'08. Eighth IEEE International Conference on, pages 263--272. Ieee, 2008.","DOI":"10.1109\/ICDM.2008.22"},{"key":"key-10.1145\/3178876.3186102-20","unstructured":"C. C. Johnson. Logistic matrix factorization for implicit feedback data. Advances in Neural Information Processing Systems, 27, 2014."},{"key":"key-10.1145\/3178876.3186102-21","doi-asserted-by":"crossref","unstructured":"J. M. Kleinberg. Authoritative sources in a hyperlinked environment. Journal of the ACM (JACM), 46(5):604--632, 1999.","DOI":"10.1145\/324133.324140"},{"key":"key-10.1145\/3178876.3186102-22","doi-asserted-by":"crossref","unstructured":"Y. Koren, R. Bell, and C. Volinsky. Matrix factorization techniques for recommender systems. Computer, 42(8):30--37, 2009.","DOI":"10.1109\/MC.2009.263"},{"key":"key-10.1145\/3178876.3186102-23","doi-asserted-by":"crossref","unstructured":"J. B. Kruskal and M. Wish. Multidimensional scaling, volume 11. Sage, 1978.","DOI":"10.4135\/9781412985130"},{"key":"key-10.1145\/3178876.3186102-24","unstructured":"O. Levy and Y. Goldberg. Neural word embedding as implicit matrix factorization. In Advances in neural information processing systems, pages 2177--2185, 2014."},{"key":"key-10.1145\/3178876.3186102-25","unstructured":"C. Li, B. Wang, V. Pavlu, and J. Aslam. Conditional bernoulli mixtures for multi-label classification. In Proceedings of The 33rd International Conference on Machine Learning, pages 2482--2491, 2016."},{"key":"key-10.1145\/3178876.3186102-26","doi-asserted-by":"crossref","unstructured":"L. Liu, J. Tang, J. Han, M. Jiang, and S. Yang. Mining topic-level influence in heterogeneous networks. In Proceedings of the 19th ACM international conference on Information and knowledge management, pages 199--208. ACM, 2010.","DOI":"10.1145\/1871437.1871467"},{"key":"key-10.1145\/3178876.3186102-27","doi-asserted-by":"crossref","unstructured":"L. L&#252;, Y.-C. Zhang, C. H. Yeung, and T. Zhou. Leaders in social networks, the delicious case. PloS one, 6(6):e21202, 2011.","DOI":"10.1371\/journal.pone.0021202"},{"key":"key-10.1145\/3178876.3186102-28","unstructured":"L. v. d. Maaten and G. Hinton. Visualizing data using t-sne. Journal of Machine Learning Research, 9(Nov):2579--2605, 2008."},{"key":"key-10.1145\/3178876.3186102-29","doi-asserted-by":"crossref","unstructured":"M. McPherson, L. Smith-Lovin, and J. M. Cook. Birds of a feather: Homophily in social networks. Annual review of sociology, pages 415--444, 2001.","DOI":"10.1146\/annurev.soc.27.1.415"},{"key":"key-10.1145\/3178876.3186102-30","doi-asserted-by":"crossref","unstructured":"A. Menon and C. Elkan. Link prediction via matrix factorization. Machine Learning and Knowledge Discovery in Databases, pages 437--452, 2011.","DOI":"10.1007\/978-3-642-23783-6_28"},{"key":"key-10.1145\/3178876.3186102-31","unstructured":"T. Mikolov, I. Sutskever, K. Chen, G. S. Corrado, and J. Dean. Distributed representations of words and phrases and their compositionality. In Advances in neural information processing systems, pages 3111--3119, 2013."},{"key":"key-10.1145\/3178876.3186102-32","unstructured":"L. Page, S. Brin, R. Motwani, and T. Winograd. The pagerank citation ranking: Bringing order to the web. Technical report, Stanford InfoLab, 1999."},{"key":"key-10.1145\/3178876.3186102-33","doi-asserted-by":"crossref","unstructured":"A. Pal and S. Counts. Identifying topical authorities in microblogs. In Proceedings of the fourth ACM international conference on Web search and data mining, pages 45--54. ACM, 2011.","DOI":"10.1145\/1935826.1935843"},{"key":"key-10.1145\/3178876.3186102-34","doi-asserted-by":"crossref","unstructured":"B. Perozzi, R. Al-Rfou, and S. Skiena. Deepwalk: Online learning of social representations. In Proceedings of the 20th ACM SIGKDD international conference on Knowledge discovery and data mining, pages 701--710. ACM, 2014.","DOI":"10.1145\/2623330.2623732"},{"key":"key-10.1145\/3178876.3186102-35","doi-asserted-by":"crossref","unstructured":"S. T. Roweis and L. K. Saul. Nonlinear dimensionality reduction by locally linear embedding. science, 290(5500):2323--2326, 2000.","DOI":"10.1126\/science.290.5500.2323"},{"key":"key-10.1145\/3178876.3186102-36","doi-asserted-by":"crossref","unstructured":"A. Sinha, Z. Shen, Y. Song, H. Ma, D. Eide, B.-j. P. Hsu, and K. Wang. An overview of microsoft academic service (mas) and applications. In Proceedings of the 24th international conference on world wide web, pages 243--246. ACM, 2015.","DOI":"10.1145\/2740908.2742839"},{"key":"key-10.1145\/3178876.3186102-37","doi-asserted-by":"crossref","unstructured":"Y. Sun, J. Han, P. Zhao, Z. Yin, H. Cheng, and T. Wu. Rankclus: integrating clustering with ranking for heterogeneous information network analysis. In Proceedings of the 12th International Conference on Extending Database Technology: Advances in Database Technology, pages 565--576. ACM, 2009.","DOI":"10.1145\/1516360.1516426"},{"key":"key-10.1145\/3178876.3186102-38","doi-asserted-by":"crossref","unstructured":"Y. Sun, Y. Yu, and J. Han. Ranking-based clustering of heterogeneous information networks with star network schema. In Proceedings of the 15th ACM SIGKDD international conference on Knowledge discovery and data mining, pages 797--806. ACM, 2009.","DOI":"10.1145\/1557019.1557107"},{"key":"key-10.1145\/3178876.3186102-39","doi-asserted-by":"crossref","unstructured":"J. Tang, J. Liu, M. Zhang, and Q. Mei. Visualizing large-scale and high-dimensional data. In Proceedings of the 25th International Conference on World Wide Web, pages 287--297. International World Wide Web Conferences Steering Committee, 2016.","DOI":"10.1145\/2872427.2883041"},{"key":"key-10.1145\/3178876.3186102-40","doi-asserted-by":"crossref","unstructured":"J. Tang, M. Qu, M. Wang, M. Zhang, J. Yan, and Q. Mei. Line: Large-scale information network embedding. In Proceedings of the 24th International Conference on World Wide Web, pages 1067--1077. ACM, 2015.","DOI":"10.1145\/2736277.2741093"},{"key":"key-10.1145\/3178876.3186102-41","doi-asserted-by":"crossref","unstructured":"J. B. Tenenbaum, V. De Silva, and J. C. Langford. A global geometric framework for nonlinear dimensionality reduction. science, 290(5500):2319--2323, 2000.","DOI":"10.1126\/science.290.5500.2319"},{"key":"key-10.1145\/3178876.3186102-42","unstructured":"L. Van Der Maaten. Accelerating t-sne using tree-based algorithms. Journal of machine learning research, 15(1):3221--3245, 2014."},{"key":"key-10.1145\/3178876.3186102-43","doi-asserted-by":"crossref","unstructured":"D. Wang, P. Cui, and W. Zhu. Structural deep network embedding. In Proceedings of the 22nd ACM SIGKDD international conference on Knowledge discovery and data mining, pages 1225--1234. ACM, 2016.","DOI":"10.1145\/2939672.2939753"},{"key":"key-10.1145\/3178876.3186102-44","doi-asserted-by":"crossref","unstructured":"Z. Wang, J. Zhang, J. Feng, and Z. Chen. Knowledge graph embedding by translating on hyperplanes. In AAAI, pages 1112--1119, 2014.","DOI":"10.1609\/aaai.v28i1.8870"},{"key":"key-10.1145\/3178876.3186102-45","doi-asserted-by":"crossref","unstructured":"J. Weng, E.-P. Lim, J. Jiang, and Q. He. Twitterrank: finding topic-sensitive influential twitterers. In Proceedings of the third ACM international conference on Web search and data mining, pages 261--270. ACM, 2010.","DOI":"10.1145\/1718487.1718520"},{"key":"key-10.1145\/3178876.3186102-46","doi-asserted-by":"crossref","unstructured":"Y. Yamaguchi, T. Takahashi, T. Amagasa, and H. Kitagawa. Turank: Twitter user ranking based on user-tweet graph analysis. In International Conference on Web Information Systems Engineering, pages 240--253. Springer, 2010.","DOI":"10.1007\/978-3-642-17616-6_22"},{"key":"key-10.1145\/3178876.3186102-47","doi-asserted-by":"crossref","unstructured":"S. Yan, D. Xu, B. Zhang, H.-J. Zhang, Q. Yang, and S. Lin. Graph embedding and extensions: A general framework for dimensionality reduction. IEEE transactions on pattern analysis and machine intelligence, 29(1):40--51, 2007.","DOI":"10.1109\/TPAMI.2007.250598"},{"key":"key-10.1145\/3178876.3186102-48","doi-asserted-by":"crossref","unstructured":"Y. Yang, J. Tang, C. W.-k. Leung, Y. Sun, Q. Chen, J. Li, and Q. Yang. Rain: Social role-aware information diffusion. In AAAI, pages 367--373, 2015.","DOI":"10.1609\/aaai.v29i1.9164"}],"event":{"number":"2018","sponsor":["SIGWEB, ACM Special Interest Group on Hypertext, Hypermedia, and Web","IW3C2, International World Wide Web Conference Committee"],"acronym":"WWW '18","name":"the 2018 World Wide Web Conference","start":{"date-parts":[[2018,4,23]]},"location":"Lyon, France","end":{"date-parts":[[2018,4,27]]}},"container-title":["Proceedings of the 2018 World Wide Web Conference on World Wide Web - WWW '18"],"original-title":[],"link":[{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3178876.3186102","content-type":"unspecified","content-version":"vor","intended-application":"text-mining"},{"URL":"http:\/\/dl.acm.org\/ft_gateway.cfm?id=3186102&ftid=1957490&dwn=1","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,6,18]],"date-time":"2025-06-18T02:11:28Z","timestamp":1750212688000},"score":1,"resource":{"primary":{"URL":"http:\/\/dl.acm.org\/citation.cfm?doid=3178876.3186102"}},"subtitle":["Social Rank Regulated Large-scale Network Embedding"],"proceedings-subject":"World Wide Web","short-title":[],"issued":{"date-parts":[[2018]]},"references-count":48,"URL":"https:\/\/doi.org\/10.1145\/3178876.3186102","relation":{},"subject":[],"published":{"date-parts":[[2018]]}}}