{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,9,19]],"date-time":"2025-09-19T07:28:34Z","timestamp":1758266914325,"version":"3.41.0"},"publisher-location":"New York, NY, USA","reference-count":44,"publisher":"ACM","license":[{"start":{"date-parts":[[2017,8,7]],"date-time":"2017-08-07T00:00:00Z","timestamp":1502064000000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.acm.org\/publications\/policies\/copyright_policy#Background"}],"funder":[{"name":"National Research Foundation, Prime Ministers Office, Singapore","award":["IRC@SG Funding Initiative"],"award-info":[{"award-number":["IRC@SG Funding Initiative"]}]}],"content-domain":{"domain":["dl.acm.org"],"crossmark-restriction":true},"short-container-title":[],"published-print":{"date-parts":[[2017,8,7]]},"DOI":"10.1145\/3077136.3080773","type":"proceedings-article","created":{"date-parts":[[2017,7,28]],"date-time":"2017-07-28T19:35:01Z","timestamp":1501270501000},"page":"455-464","update-policy":"https:\/\/doi.org\/10.1145\/crossmark-policy","source":"Crossref","is-referenced-by-count":20,"title":["Computational Social Indicators"],"prefix":"10.1145","author":[{"given":"Fuli","family":"Feng","sequence":"first","affiliation":[{"name":"National University of Singapore, Singapore, Singapore"}]},{"given":"Liqiang","family":"Nie","sequence":"additional","affiliation":[{"name":"Shandong University, Jinan, China"}]},{"given":"Xiang","family":"Wang","sequence":"additional","affiliation":[{"name":"National University of Singapore, Singapore, Singapore"}]},{"given":"Richang","family":"Hong","sequence":"additional","affiliation":[{"name":"Hefei University of Technology, Hefei, China"}]},{"given":"Tat-Seng","family":"Chua","sequence":"additional","affiliation":[{"name":"National University of Singapore, Singapore, Singapore"}]}],"member":"320","published-online":{"date-parts":[[2017,8,7]]},"reference":[{"doi-asserted-by":"crossref","unstructured":"S. Agarwal. 2006. Ranking on graph data ICML. ACM 25--32.  S. Agarwal. 2006. Ranking on graph data ICML. ACM 25--32.","key":"e_1_3_2_1_1_1","DOI":"10.1145\/1143844.1143848"},{"unstructured":"G. Andrew R. Arora J. A. Bilmes and K. Livescu. 2013. Deep canonical correlation analysis. In ICML. 1247--1255.  G. Andrew R. Arora J. A. Bilmes and K. Livescu. 2013. Deep canonical correlation analysis. In ICML. 1247--1255.","key":"e_1_3_2_1_2_1"},{"unstructured":"A. Armstrong R. Francis M. Bourne and I. Dussuyer. 2002. Difficulties of developing and using social indicators to evaluate government programs: a critical review. Ph.D. Dissertation.  A. Armstrong R. Francis M. Bourne and I. Dussuyer. 2002. Difficulties of developing and using social indicators to evaluate government programs: a critical review. Ph.D. Dissertation.","key":"e_1_3_2_1_3_1"},{"doi-asserted-by":"publisher","key":"e_1_3_2_1_4_1","DOI":"10.1109\/TIP.2015.2496275"},{"doi-asserted-by":"publisher","key":"e_1_3_2_1_5_1","DOI":"10.1145\/1571941.1571946"},{"key":"e_1_3_2_1_6_1","volume-title":"JMLR","volume":"3","author":"Blei D. M.","year":"2003"},{"volume-title":"Consumer price indexes. Concise Encyclopedia of Economics","year":"2008","author":"Boskin M. J.","key":"e_1_3_2_1_7_1"},{"doi-asserted-by":"publisher","key":"e_1_3_2_1_8_1","DOI":"10.1145\/1571941.1572103"},{"doi-asserted-by":"publisher","key":"e_1_3_2_1_9_1","DOI":"10.1145\/1873951.1874005"},{"doi-asserted-by":"crossref","unstructured":"J. Chen X. Song L. Nie X. Wang H. Zhang and T. Chua 2016. Micro Tells Macro: Predicting the Popularity of Micro-Videos via a Transductive Model MM. ACM 898--907.  J. Chen X. Song L. Nie X. Wang H. Zhang and T. Chua 2016. Micro Tells Macro: Predicting the Popularity of Micro-Videos via a Transductive Model MM. ACM 898--907.","key":"e_1_3_2_1_10_1","DOI":"10.1145\/2964284.2964314"},{"key":"e_1_3_2_1_11_1","first-page":"1","volume":"25","author":"Cheng X. Q.","year":"2013","journal-title":"Ranking on Data Manifold with Sink Points. TKDE"},{"doi-asserted-by":"publisher","key":"e_1_3_2_1_12_1","DOI":"10.1002\/asi.23355"},{"doi-asserted-by":"publisher","key":"e_1_3_2_1_13_1","DOI":"10.1145\/371920.372165"},{"volume-title":"Measuring social well-being: a progress report on the development of social indicators","key":"e_1_3_2_1_14_1"},{"doi-asserted-by":"publisher","key":"e_1_3_2_1_15_1","DOI":"10.1109\/TPAMI.2015.2408354"},{"doi-asserted-by":"publisher","key":"e_1_3_2_1_16_1","DOI":"10.1145\/2556195.2556267"},{"doi-asserted-by":"publisher","key":"e_1_3_2_1_17_1","DOI":"10.1016\/S1574-0064(00)80160-2"},{"doi-asserted-by":"publisher","key":"e_1_3_2_1_18_1","DOI":"10.1080\/03797720500260033"},{"doi-asserted-by":"publisher","key":"e_1_3_2_1_19_1","DOI":"10.1109\/TKDE.2016.2611584"},{"doi-asserted-by":"crossref","unstructured":"X. He M. Kan P. Xie and X. Chen. 2014. Comment-based Multi-view Clustering of Web 2.0 Items WWW. ACM 771--782.  X. He M. Kan P. Xie and X. Chen. 2014. Comment-based Multi-view Clustering of Web 2.0 Items WWW. ACM 771--782.","key":"e_1_3_2_1_20_1","DOI":"10.1145\/2566486.2567975"},{"doi-asserted-by":"crossref","unstructured":"J. Jeon V. Lavrenko and R. Manmatha 2003. Automatic image annotation and retrieval using cross-media relevance models SIGIR. ACM 119--126.  J. Jeon V. Lavrenko and R. Manmatha 2003. Automatic image annotation and retrieval using cross-media relevance models SIGIR. ACM 119--126.","key":"e_1_3_2_1_21_1","DOI":"10.1145\/860435.860459"},{"volume-title":"Microblog sentiment analysis with emoticon space model Chinese National Conference on Social Media Processing","author":"Jiang F.","key":"e_1_3_2_1_22_1"},{"doi-asserted-by":"crossref","unstructured":"N. Kapur N. Lytkin B. Chen D. Agarwal and I. Perisic 2016. Ranking universities based on career outcomes of graduates SIGKDD. ACM 137--144.  N. Kapur N. Lytkin B. Chen D. Agarwal and I. Perisic 2016. Ranking universities based on career outcomes of graduates SIGKDD. ACM 137--144.","key":"e_1_3_2_1_23_1","DOI":"10.1145\/2939672.2939701"},{"doi-asserted-by":"publisher","key":"e_1_3_2_1_24_1","DOI":"10.1145\/324133.324140"},{"doi-asserted-by":"publisher","key":"e_1_3_2_1_25_1","DOI":"10.1140\/epjb\/e2016-60922-0"},{"doi-asserted-by":"crossref","unstructured":"L. Liao X. He Z. Ren L. Nie X. Huan and T. Chua 2017. Representativeness-aware Aspect Analysis for Brand Monitoring in Social Media IJCAI.  L. Liao X. He Z. Ren L. Nie X. Huan and T. Chua 2017. Representativeness-aware Aspect Analysis for Brand Monitoring in Social Media IJCAI.","key":"e_1_3_2_1_26_1","DOI":"10.24963\/ijcai.2017\/44"},{"doi-asserted-by":"publisher","key":"e_1_3_2_1_27_1","DOI":"10.1145\/1390334.1390412"},{"doi-asserted-by":"crossref","unstructured":"X. Lu F. Wu S. Tang Z. Zhang X. He and Y. Zhuang 2013. A low rank structural large margin method for cross-modal ranking SIGIR. ACM 433--442.  X. Lu F. Wu S. Tang Z. Zhang X. He and Y. Zhuang 2013. A low rank structural large margin method for cross-modal ranking SIGIR. ACM 433--442.","key":"e_1_3_2_1_28_1","DOI":"10.1145\/2484028.2484039"},{"key":"e_1_3_2_1_29_1","volume-title":"TOIS","volume":"29","author":"Ma H.","year":"2011"},{"doi-asserted-by":"crossref","unstructured":"O. Megorskaya V. Kukushkin and P. Serdyukov. 2015. On the relation between assessor's agreement and accuracy in gamified relevance assessment SIGIR. ACM 605--614.  O. Megorskaya V. Kukushkin and P. Serdyukov. 2015. On the relation between assessor's agreement and accuracy in gamified relevance assessment SIGIR. ACM 605--614.","key":"e_1_3_2_1_30_1","DOI":"10.1145\/2766462.2767727"},{"unstructured":"J. Ngiam A. Khosla M. Kim J. Nam H. Lee and A. Y. Ng 2011. Multimodal deep learning. In ICML. 689--696.  J. Ngiam A. Khosla M. Kim J. Nam H. Lee and A. Y. Ng 2011. Multimodal deep learning. In ICML. 689--696.","key":"e_1_3_2_1_31_1"},{"doi-asserted-by":"crossref","unstructured":"Z. Nie Y. Zhang J. Wen and W. Ma. 2005. Object-level ranking: bringing order to Web objects WWW. ACM 567--574.  Z. Nie Y. Zhang J. Wen and W. Ma. 2005. Object-level ranking: bringing order to Web objects WWW. ACM 567--574.","key":"e_1_3_2_1_32_1","DOI":"10.1145\/1060745.1060828"},{"volume-title":"Technical Report 66.","year":"1999","author":"Page L.","key":"e_1_3_2_1_33_1"},{"doi-asserted-by":"publisher","key":"e_1_3_2_1_34_1","DOI":"10.1109\/TPAMI.2013.109"},{"doi-asserted-by":"crossref","unstructured":"K. Ura S. Alkire and T. Zangmo 2012. A short guide to gross national happiness index. (2012).  K. Ura S. Alkire and T. Zangmo 2012. A short guide to gross national happiness index. (2012).","key":"e_1_3_2_1_35_1","DOI":"10.35648\/20.500.12413\/11781\/ii025"},{"doi-asserted-by":"publisher","key":"e_1_3_2_1_36_1","DOI":"10.1145\/2484028.2484040"},{"doi-asserted-by":"publisher","key":"e_1_3_2_1_37_1","DOI":"10.1145\/1390334.1390387"},{"doi-asserted-by":"publisher","key":"e_1_3_2_1_38_1","DOI":"10.1109\/TIP.2012.2207397"},{"unstructured":"W. Wang R. Arora K. Livescu and J. Bilmes. 2015. On deep multi-view representation learning. In ICML. 1083--1092.  W. Wang R. Arora K. Livescu and J. Bilmes. 2015. On deep multi-view representation learning. In ICML. 1083--1092.","key":"e_1_3_2_1_39_1"},{"doi-asserted-by":"publisher","key":"e_1_3_2_1_40_1","DOI":"10.1145\/3052774"},{"doi-asserted-by":"crossref","unstructured":"W. Xu X. Liu and Y. Gong 2003. Document clustering based on non-negative matrix factorization SIGIR. ACM 267--273.  W. Xu X. Liu and Y. Gong 2003. Document clustering based on non-negative matrix factorization SIGIR. ACM 267--273.","key":"e_1_3_2_1_41_1","DOI":"10.1145\/860435.860485"},{"doi-asserted-by":"crossref","unstructured":"Q. Yin S. Wu and L. Wang 2015. Incomplete multi-view clustering via subspace learning CIKM. ACM 383--392.  Q. Yin S. Wu and L. Wang 2015. Incomplete multi-view clustering via subspace learning CIKM. ACM 383--392.","key":"e_1_3_2_1_42_1","DOI":"10.1145\/2806416.2806526"},{"key":"e_1_3_2_1_43_1","doi-asserted-by":"crossref","first-page":"1","DOI":"10.1145\/2978656","article-title":"Learning from Collective Intelligence: Feature Learning Using Social Images and Tags","volume":"13","author":"Zhang H.","year":"2017","journal-title":"TOMCCAP"},{"doi-asserted-by":"crossref","unstructured":"X. Zhou M. Belkin and N. Srebro 2011. An iterated graph Laplacian approach for ranking on manifolds SIGKDD. ACM 877--885.  X. Zhou M. Belkin and N. Srebro 2011. An iterated graph Laplacian approach for ranking on manifolds SIGKDD. ACM 877--885.","key":"e_1_3_2_1_44_1","DOI":"10.1145\/2020408.2020556"}],"event":{"sponsor":["SIGIR ACM Special Interest Group on Information Retrieval"],"acronym":"SIGIR '17","name":"SIGIR '17: The 40th International ACM SIGIR conference on research and development in Information Retrieval","location":"Shinjuku Tokyo Japan"},"container-title":["Proceedings of the 40th International ACM SIGIR Conference on Research and Development in Information Retrieval"],"original-title":[],"link":[{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3077136.3080773","content-type":"unspecified","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/dl.acm.org\/doi\/pdf\/10.1145\/3077136.3080773","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,6,18]],"date-time":"2025-06-18T19:04:07Z","timestamp":1750273447000},"score":1,"resource":{"primary":{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3077136.3080773"}},"subtitle":["A Case Study of Chinese University Ranking"],"short-title":[],"issued":{"date-parts":[[2017,8,7]]},"references-count":44,"alternative-id":["10.1145\/3077136.3080773","10.1145\/3077136"],"URL":"https:\/\/doi.org\/10.1145\/3077136.3080773","relation":{},"subject":[],"published":{"date-parts":[[2017,8,7]]},"assertion":[{"value":"2017-08-07","order":2,"name":"published","label":"Published","group":{"name":"publication_history","label":"Publication History"}}]}}