{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,3,28]],"date-time":"2026-03-28T12:53:01Z","timestamp":1774702381941,"version":"3.50.1"},"publisher-location":"New York, NY, USA","reference-count":47,"publisher":"ACM","license":[{"start":{"date-parts":[[2021,10,26]],"date-time":"2021-10-26T00:00:00Z","timestamp":1635206400000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.acm.org\/publications\/policies\/copyright_policy#Background"}],"funder":[{"DOI":"10.13039\/501100004543","name":"China Scholarship Council","doi-asserted-by":"publisher","award":["202108050068"],"award-info":[{"award-number":["202108050068"]}],"id":[{"id":"10.13039\/501100004543","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":["dl.acm.org"],"crossmark-restriction":true},"short-container-title":[],"published-print":{"date-parts":[[2021,10,26]]},"DOI":"10.1145\/3459637.3482473","type":"proceedings-article","created":{"date-parts":[[2021,10,30]],"date-time":"2021-10-30T18:33:11Z","timestamp":1635618791000},"page":"2424-2433","update-policy":"https:\/\/doi.org\/10.1145\/crossmark-policy","source":"Crossref","is-referenced-by-count":6,"title":["Robust Dynamic Clustering for Temporal Networks"],"prefix":"10.1145","author":[{"given":"Jingyi","family":"You","sequence":"first","affiliation":[{"name":"Tokyo Institute of Technology, Yokohama, Japan"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Chenlong","family":"Hu","sequence":"additional","affiliation":[{"name":"Tokyo Institute of Technology, Yokohama, Japan"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Hidetaka","family":"Kamigaito","sequence":"additional","affiliation":[{"name":"Tokyo Institute of Technology, Yokohama, Japan"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Kotaro","family":"Funakoshi","sequence":"additional","affiliation":[{"name":"Tokyo Institute of Technology, Yokohama, Japan"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Manabu","family":"Okumura","sequence":"additional","affiliation":[{"name":"Tokyo Institute of Technology, Yokohama, Japan"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"320","published-online":{"date-parts":[[2021,10,30]]},"reference":[{"key":"e_1_3_2_2_1_1","doi-asserted-by":"publisher","DOI":"10.1109\/TKDE.2019.2903712"},{"key":"e_1_3_2_2_2_1","doi-asserted-by":"publisher","DOI":"10.1137\/080738970"},{"key":"e_1_3_2_2_3_1","doi-asserted-by":"publisher","DOI":"10.1145\/1150402.1150467"},{"key":"e_1_3_2_2_4_1","doi-asserted-by":"publisher","DOI":"10.1145\/3394486.3403114"},{"key":"e_1_3_2_2_5_1","volume-title":"Spectral graph theory. Number 92 in CBMS Regional Conference Series in Mathematics. American Mathematical Soc","author":"Chung Fan RK","unstructured":"Fan RK Chung and Fan Chung Graham . 1997. Spectral graph theory. Number 92 in CBMS Regional Conference Series in Mathematics. American Mathematical Soc ., Fresno State University . Fan RK Chung and Fan Chung Graham. 1997. Spectral graph theory. Number 92 in CBMS Regional Conference Series in Mathematics. American Mathematical Soc., Fresno State University."},{"key":"e_1_3_2_2_6_1","doi-asserted-by":"publisher","DOI":"10.1088\/1742-5468\/2005\/09\/P09008"},{"key":"e_1_3_2_2_7_1","doi-asserted-by":"publisher","DOI":"10.5555\/3304889.3304949"},{"key":"e_1_3_2_2_8_1","doi-asserted-by":"publisher","DOI":"10.1145\/1390156.1390191"},{"key":"e_1_3_2_2_9_1","doi-asserted-by":"publisher","DOI":"10.1109\/TKDE.2013.131"},{"key":"e_1_3_2_2_10_1","doi-asserted-by":"publisher","DOI":"10.1145\/3394486.3403081"},{"key":"e_1_3_2_2_11_1","volume-title":"Dynamic Control of Probabilistic Simple Temporal Networks. In The Thirty-Fourth AAAI Conference on Artificial Intelligence. AAAI Press","author":"Gao Michael","year":"2020","unstructured":"Michael Gao , Lindsay Popowski , and Jim Boerkoel . 2020 . Dynamic Control of Probabilistic Simple Temporal Networks. In The Thirty-Fourth AAAI Conference on Artificial Intelligence. AAAI Press , New York, NY, USA, 9851--9858. Michael Gao, Lindsay Popowski, and Jim Boerkoel. 2020. Dynamic Control of Probabilistic Simple Temporal Networks. In The Thirty-Fourth AAAI Conference on Artificial Intelligence. AAAI Press, New York, NY, USA, 9851--9858."},{"key":"e_1_3_2_2_12_1","doi-asserted-by":"publisher","DOI":"10.1145\/2939672.2939754"},{"key":"e_1_3_2_2_13_1","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2019.2900306"},{"key":"e_1_3_2_2_14_1","doi-asserted-by":"publisher","DOI":"10.24963\/ijcai.2020\/486"},{"key":"e_1_3_2_2_15_1","doi-asserted-by":"publisher","DOI":"10.5555\/1005332.1044709"},{"key":"e_1_3_2_2_16_1","volume-title":"MuMod: A Micro-Unit Connection Approach for Hybrid-Order Community Detection. In The Thirty- Fourth AAAI Conference on Artificial Intelligence. AAAI Press","author":"Huang Ling","year":"2020","unstructured":"Ling Huang , Hong-Yang Chao , and Guangqiang Xie . 2020 . MuMod: A Micro-Unit Connection Approach for Hybrid-Order Community Detection. In The Thirty- Fourth AAAI Conference on Artificial Intelligence. AAAI Press , New York, NY, 107--114. Ling Huang, Hong-Yang Chao, and Guangqiang Xie. 2020. MuMod: A Micro-Unit Connection Approach for Hybrid-Order Community Detection. In The Thirty- Fourth AAAI Conference on Artificial Intelligence. AAAI Press, New York, NY, 107--114."},{"key":"e_1_3_2_2_17_1","doi-asserted-by":"publisher","DOI":"10.1109\/TKDE.2019.2937298"},{"key":"e_1_3_2_2_18_1","doi-asserted-by":"publisher","DOI":"10.14778\/1687627.1687698"},{"key":"e_1_3_2_2_19_1","volume-title":"Proceedings of the Sixth Asian Conference on Machine Learning (JMLR Workshop and Conference Proceedings","volume":"141","author":"Kimura Keigo","year":"2014","unstructured":"Keigo Kimura , Yuzuru Tanaka , and Mineichi Kudo . 2014 . A Fast Hierarchical Alternating Least Squares Algorithm for Orthogonal Nonnegative Matrix Fac- torization . In Proceedings of the Sixth Asian Conference on Machine Learning (JMLR Workshop and Conference Proceedings , Vol. 39). JMLR.org, Nha Trang City, Vietnam, 129-- 141 . Keigo Kimura, Yuzuru Tanaka, and Mineichi Kudo. 2014. A Fast Hierarchical Alternating Least Squares Algorithm for Orthogonal Nonnegative Matrix Fac- torization. In Proceedings of the Sixth Asian Conference on Machine Learning (JMLR Workshop and Conference Proceedings, Vol. 39). JMLR.org, Nha Trang City, Vietnam, 129--141."},{"key":"e_1_3_2_2_20_1","volume-title":"Learning the parts of objects by non-negative matrix factorization. Nature 401, 6755","author":"Lee Daniel D","year":"1999","unstructured":"Daniel D Lee and H Sebastian Seung . 1999. Learning the parts of objects by non-negative matrix factorization. Nature 401, 6755 ( 1999 ), 788--791. Daniel D Lee and H Sebastian Seung. 1999. Learning the parts of objects by non-negative matrix factorization. Nature 401, 6755 (1999), 788--791."},{"key":"e_1_3_2_2_21_1","doi-asserted-by":"publisher","DOI":"10.5555\/2969033.2969070"},{"key":"e_1_3_2_2_22_1","volume-title":"Proceedings of the Thirty- Second AAAI Conference on Artificial Intelligence. AAAI Press","author":"Li Ye","year":"2018","unstructured":"Ye Li , Chaofeng Sha , Xin Huang , and Yanchun Zhang . 2018 . Community Detection in Attributed Graphs: An Embedding Approach . In Proceedings of the Thirty- Second AAAI Conference on Artificial Intelligence. AAAI Press , New Orleans, Louisiana, USA, 338--345. Ye Li, Chaofeng Sha, Xin Huang, and Yanchun Zhang. 2018. Community Detection in Attributed Graphs: An Embedding Approach. In Proceedings of the Thirty- Second AAAI Conference on Artificial Intelligence. AAAI Press, New Orleans, Louisiana, USA, 338--345."},{"key":"e_1_3_2_2_23_1","doi-asserted-by":"publisher","DOI":"10.1073\/pnas.1718449115"},{"key":"e_1_3_2_2_24_1","doi-asserted-by":"publisher","DOI":"10.1109\/TFUZZ.2020.2966182"},{"key":"e_1_3_2_2_25_1","doi-asserted-by":"publisher","DOI":"10.1007\/s11280-019-00710-z"},{"key":"e_1_3_2_2_26_1","doi-asserted-by":"publisher","DOI":"10.1109\/TKDE.2017.2657752"},{"key":"e_1_3_2_2_27_1","doi-asserted-by":"publisher","DOI":"10.5555\/3294996.3295168"},{"key":"e_1_3_2_2_28_1","doi-asserted-by":"publisher","DOI":"10.24963\/ijcai.2020\/437"},{"key":"e_1_3_2_2_29_1","doi-asserted-by":"publisher","DOI":"10.5555\/2888116.2888122"},{"key":"e_1_3_2_2_30_1","doi-asserted-by":"publisher","DOI":"10.1145\/2623330.2623732"},{"key":"e_1_3_2_2_31_1","doi-asserted-by":"publisher","DOI":"10.1145\/3159652.3159706"},{"key":"e_1_3_2_2_32_1","doi-asserted-by":"publisher","DOI":"10.1007\/BF02289451"},{"key":"e_1_3_2_2_33_1","doi-asserted-by":"publisher","DOI":"10.1145\/1281192.1281266"},{"key":"e_1_3_2_2_34_1","doi-asserted-by":"publisher","DOI":"10.1145\/2736277.2741093"},{"key":"e_1_3_2_2_35_1","doi-asserted-by":"publisher","DOI":"10.1109\/TNSE.2019.2936865"},{"key":"e_1_3_2_2_36_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.knosys.2018.05.026"},{"key":"e_1_3_2_2_37_1","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v34i01.5358"},{"key":"e_1_3_2_2_38_1","doi-asserted-by":"publisher","DOI":"10.5555\/2892753.2892850"},{"key":"e_1_3_2_2_39_1","doi-asserted-by":"publisher","DOI":"10.5555\/3060832.3060936"},{"key":"e_1_3_2_2_40_1","doi-asserted-by":"publisher","DOI":"10.26615\/978-954-452-072-4_178"},{"key":"e_1_3_2_2_41_1","doi-asserted-by":"publisher","DOI":"10.1109\/TCYB.2019.2938895"},{"key":"e_1_3_2_2_42_1","doi-asserted-by":"publisher","DOI":"10.1109\/TBDATA.2018.2850013"},{"key":"e_1_3_2_2_43_1","doi-asserted-by":"publisher","DOI":"10.1109\/TIP.2020.2985219"},{"key":"e_1_3_2_2_44_1","doi-asserted-by":"publisher","DOI":"10.1109\/TSMC.2018.2854294"},{"key":"e_1_3_2_2_45_1","doi-asserted-by":"publisher","DOI":"10.1023\/B:MACH.0000027785.44527.d6"},{"key":"e_1_3_2_2_46_1","volume-title":"Scalable Temporal Latent Space Inference for Link Prediction in Dynamic Social Networks. In 33rd IEEE International Conference on Data Engineering. IEEE Computer Society","author":"Zhu Linhong","year":"2017","unstructured":"Linhong Zhu , Dong Guo , Junming Yin , Greg Ver Steeg , and Aram Galstyan . 2017 . Scalable Temporal Latent Space Inference for Link Prediction in Dynamic Social Networks. In 33rd IEEE International Conference on Data Engineering. IEEE Computer Society , San Diego, CA, USA, 57--58. Linhong Zhu, Dong Guo, Junming Yin, Greg Ver Steeg, and Aram Galstyan. 2017. Scalable Temporal Latent Space Inference for Link Prediction in Dynamic Social Networks. In 33rd IEEE International Conference on Data Engineering. IEEE Computer Society, San Diego, CA, USA, 57--58."},{"key":"e_1_3_2_2_47_1","first-page":"1934","article-title":"DynaMo: Dynamic Com- munity Detection by Incrementally Maximizing Modularity","volume":"33","author":"Zhuang Di","year":"2021","unstructured":"Di Zhuang , J. Morris Chang , and Mingchen Li . 2021 . DynaMo: Dynamic Com- munity Detection by Incrementally Maximizing Modularity . IEEE Trans. Knowl. Data Eng. 33 , 5 (2021), 1934 -- 1945 . Di Zhuang, J. Morris Chang, and Mingchen Li. 2021. DynaMo: Dynamic Com- munity Detection by Incrementally Maximizing Modularity. IEEE Trans. Knowl. Data Eng. 33, 5 (2021), 1934--1945.","journal-title":"IEEE Trans. Knowl. Data Eng."}],"event":{"name":"CIKM '21: The 30th ACM International Conference on Information and Knowledge Management","location":"Virtual Event Queensland Australia","acronym":"CIKM '21","sponsor":["SIGWEB ACM Special Interest Group on Hypertext, Hypermedia, and Web","SIGIR ACM Special Interest Group on Information Retrieval"]},"container-title":["Proceedings of the 30th ACM International Conference on Information &amp; Knowledge Management"],"original-title":[],"link":[{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3459637.3482473","content-type":"unspecified","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/dl.acm.org\/doi\/pdf\/10.1145\/3459637.3482473","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,6,17]],"date-time":"2025-06-17T20:48:49Z","timestamp":1750193329000},"score":1,"resource":{"primary":{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3459637.3482473"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2021,10,26]]},"references-count":47,"alternative-id":["10.1145\/3459637.3482473","10.1145\/3459637"],"URL":"https:\/\/doi.org\/10.1145\/3459637.3482473","relation":{},"subject":[],"published":{"date-parts":[[2021,10,26]]},"assertion":[{"value":"2021-10-30","order":2,"name":"published","label":"Published","group":{"name":"publication_history","label":"Publication History"}}]}}