{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,6,19]],"date-time":"2025-06-19T04:25:04Z","timestamp":1750307104736,"version":"3.41.0"},"publisher-location":"New York, NY, USA","reference-count":27,"publisher":"ACM","license":[{"start":{"date-parts":[[2012,11,2]],"date-time":"2012-11-02T00:00:00Z","timestamp":1351814400000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.acm.org\/publications\/policies\/copyright_policy#Background"}],"content-domain":{"domain":["dl.acm.org"],"crossmark-restriction":true},"short-container-title":[],"published-print":{"date-parts":[[2012,11,2]]},"DOI":"10.1145\/2389686.2389698","type":"proceedings-article","created":{"date-parts":[[2012,11,7]],"date-time":"2012-11-07T16:42:56Z","timestamp":1352306576000},"page":"51-58","update-policy":"https:\/\/doi.org\/10.1145\/crossmark-policy","source":"Crossref","is-referenced-by-count":11,"title":["iTop"],"prefix":"10.1145","author":[{"given":"Denzil","family":"Correa","sequence":"first","affiliation":[{"name":"Indraprastha Institute of Information Technology, India, New Delhi, India"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Ashish","family":"Sureka","sequence":"additional","affiliation":[{"name":"Indraprastha Institute of Information Technology, India, New Delhi, India"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Mayank","family":"Pundir","sequence":"additional","affiliation":[{"name":"Indraprastha Institute of Information Technology, India, New Delhi, India"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"320","published-online":{"date-parts":[[2012,11,2]]},"reference":[{"key":"e_1_3_2_1_1_1","doi-asserted-by":"publisher","DOI":"10.1145\/1135777.1135814"},{"key":"e_1_3_2_1_2_1","doi-asserted-by":"publisher","DOI":"10.1016\/S0378-8733(99)00019-2"},{"key":"e_1_3_2_1_3_1","doi-asserted-by":"publisher","DOI":"10.1103\/PhysRevE.72.026132"},{"key":"e_1_3_2_1_4_1","volume-title":"Modeling users' activity on twitter networks: validation of dunbar's number. PloS one, 6(8)","author":"Goncalves B.","year":"2011","unstructured":"B. Goncalves , N. Perra , and A. Vespignani . Modeling users' activity on twitter networks: validation of dunbar's number. PloS one, 6(8) , 2011 . B. Goncalves, N. Perra, and A. Vespignani. Modeling users' activity on twitter networks: validation of dunbar's number. PloS one, 6(8), 2011."},{"key":"e_1_3_2_1_5_1","volume-title":"June","author":"Hill S.","year":"2006","unstructured":"S. Hill , F. Provost , and C. Volinsky . Network-Based Marketing: Identifying Likely Adopters via Consumer Networks. ArXiv Mathematics e-prints , June 2006 . S. Hill, F. Provost, and C. Volinsky. Network-Based Marketing: Identifying Likely Adopters via Consumer Networks. ArXiv Mathematics e-prints, June 2006."},{"key":"e_1_3_2_1_6_1","volume-title":"Dec.","author":"Huberman B. A.","year":"2008","unstructured":"B. A. Huberman , D. M. Romero , and F. Wu . Social networks that matter: Twitter under the microscope. ArXiv e-prints , Dec. 2008 . B. A. Huberman, D. M. Romero, and F. Wu. Social networks that matter: Twitter under the microscope. ArXiv e-prints, Dec. 2008."},{"key":"e_1_3_2_1_7_1","doi-asserted-by":"publisher","DOI":"10.1145\/956750.956769"},{"key":"e_1_3_2_1_8_1","volume-title":"May","author":"Kewalramani M.","year":"2011","unstructured":"M. Kewalramani . Community Detection in Twitter . Master's thesis , May 2011 . M. Kewalramani. Community Detection in Twitter. Master's thesis, May 2011."},{"key":"e_1_3_2_1_9_1","doi-asserted-by":"publisher","DOI":"10.1016\/S1389-1286(99)00040-7"},{"key":"e_1_3_2_1_10_1","doi-asserted-by":"publisher","DOI":"10.1145\/1772690.1772751"},{"volume-title":"Twitter Marketing for Dummies","author":"Lacy K.","key":"e_1_3_2_1_11_1","unstructured":"K. Lacy . Twitter Marketing for Dummies , volume 2nd. 2009 . K. Lacy. Twitter Marketing for Dummies, volume 2nd. 2009."},{"key":"e_1_3_2_1_12_1","doi-asserted-by":"publisher","DOI":"10.1145\/1367497.1367591"},{"key":"e_1_3_2_1_13_1","doi-asserted-by":"publisher","DOI":"10.1103\/PhysRevE.69.066133"},{"key":"e_1_3_2_1_14_1","doi-asserted-by":"publisher","DOI":"10.1073\/pnas.0601602103"},{"key":"e_1_3_2_1_15_1","volume-title":"Feb.","author":"Papadopoulos S.","year":"2009","unstructured":"S. Papadopoulos , A. Skusa , A. Vakali , Y. Kompatsiaris , and N. Wagner . Bridge Bounding: A Local Approach for Efficient Community Discovery in Complex Networks. ArXiv e-prints , Feb. 2009 . S. Papadopoulos, A. Skusa, A. Vakali, Y. Kompatsiaris, and N. Wagner. Bridge Bounding: A Local Approach for Efficient Community Discovery in Complex Networks. ArXiv e-prints, Feb. 2009."},{"key":"e_1_3_2_1_16_1","volume-title":"Social Topic Models for Community Extraction. In The 2nd SNA-KDD Workshop '08 (SNA-KDD'08)","author":"Pathak N.","year":"2008","unstructured":"N. Pathak , C. Delong , A. Banerjee , and K. Erickson . Social Topic Models for Community Extraction. In The 2nd SNA-KDD Workshop '08 (SNA-KDD'08) , Aug. 2008 . N. Pathak, C. Delong, A. Banerjee, and K. Erickson. Social Topic Models for Community Extraction. In The 2nd SNA-KDD Workshop '08 (SNA-KDD'08), Aug. 2008."},{"key":"e_1_3_2_1_17_1","doi-asserted-by":"publisher","DOI":"10.1016\/0047-2484(92)90081-J"},{"key":"e_1_3_2_1_18_1","doi-asserted-by":"publisher","DOI":"10.1145\/2063576.2063963"},{"key":"e_1_3_2_1_19_1","doi-asserted-by":"publisher","DOI":"10.1145\/2187836.2187882"},{"key":"e_1_3_2_1_20_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.physrep.2009.11.002"},{"key":"e_1_3_2_1_21_1","series-title":"Lecture Notes in Computer Science","doi-asserted-by":"crossref","first-page":"13","DOI":"10.1007\/978-3-642-17187-1_2","volume-title":"Information Retrieval Technology","author":"Sureka A.","year":"2010","unstructured":"A. Sureka , P. Kumaraguru , A. Goyal , and S. Chhabra . Mining youtube to discover extremist videos, users and hidden communities . In Information Retrieval Technology , volume 6458 of Lecture Notes in Computer Science , pages 13 -- 24 . Springer Berlin \/ Heidelberg , 2010 . A. Sureka, P. Kumaraguru, A. Goyal, and S. Chhabra. Mining youtube to discover extremist videos, users and hidden communities. In Information Retrieval Technology, volume 6458 of Lecture Notes in Computer Science, pages 13--24. Springer Berlin \/ Heidelberg, 2010."},{"key":"e_1_3_2_1_22_1","series-title":"The Kluwer International Series on Advances in Database Systems","doi-asserted-by":"crossref","first-page":"487","DOI":"10.1007\/978-1-4419-6045-0_16","volume-title":"Managing and Mining Graph Data","author":"Tang L.","year":"2010","unstructured":"L. Tang and H. Liu . Graph mining applications to social network analysis . In C. C. Aggarwal, H. Wang, and A. K. Elmagarmid, editors, Managing and Mining Graph Data , volume 40 of The Kluwer International Series on Advances in Database Systems , pages 487 -- 513 . Springer US , 2010 . L. Tang and H. Liu. Graph mining applications to social network analysis. In C. C. Aggarwal, H. Wang, and A. K. Elmagarmid, editors, Managing and Mining Graph Data, volume 40 of The Kluwer International Series on Advances in Database Systems, pages 487--513. Springer US, 2010."},{"key":"e_1_3_2_1_23_1","doi-asserted-by":"publisher","DOI":"10.1145\/1401890.1401972"},{"key":"e_1_3_2_1_24_1","doi-asserted-by":"publisher","DOI":"10.1109\/ICDM.2009.20"},{"key":"e_1_3_2_1_25_1","unstructured":"G. Tscherteu and C. Langreiter. Community core detection in twitter - a \"bottom up\" heuristic.  G. Tscherteu and C. Langreiter. Community core detection in twitter - a \"bottom up\" heuristic."},{"key":"e_1_3_2_1_26_1","doi-asserted-by":"publisher","DOI":"10.1145\/1242572.1242805"},{"key":"e_1_3_2_1_27_1","doi-asserted-by":"publisher","DOI":"10.1145\/1557019.1557120"}],"event":{"name":"CIKM'12: 21st ACM International Conference on Information and Knowledge Management","sponsor":["SIGWEB ACM Special Interest Group on Hypertext, Hypermedia, and Web","SIGIR ACM Special Interest Group on Information Retrieval"],"location":"Maui Hawaii USA","acronym":"CIKM'12"},"container-title":["Proceedings of the 5th Ph.D. workshop on Information and knowledge"],"original-title":[],"link":[{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/2389686.2389698","content-type":"unspecified","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/dl.acm.org\/doi\/pdf\/10.1145\/2389686.2389698","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,6,18]],"date-time":"2025-06-18T09:34:59Z","timestamp":1750239299000},"score":1,"resource":{"primary":{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/2389686.2389698"}},"subtitle":["interaction based topic centric community discovery on twitter"],"short-title":[],"issued":{"date-parts":[[2012,11,2]]},"references-count":27,"alternative-id":["10.1145\/2389686.2389698","10.1145\/2389686"],"URL":"https:\/\/doi.org\/10.1145\/2389686.2389698","relation":{},"subject":[],"published":{"date-parts":[[2012,11,2]]},"assertion":[{"value":"2012-11-02","order":2,"name":"published","label":"Published","group":{"name":"publication_history","label":"Publication History"}}]}}