{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,2,21]],"date-time":"2025-02-21T05:35:57Z","timestamp":1740116157441,"version":"3.37.3"},"publisher-location":"Berlin, Heidelberg","reference-count":9,"publisher":"Springer Berlin Heidelberg","isbn-type":[{"type":"print","value":"9783642136566"},{"type":"electronic","value":"9783642136573"}],"license":[{"start":{"date-parts":[[2010,1,1]],"date-time":"2010-01-01T00:00:00Z","timestamp":1262304000000},"content-version":"tdm","delay-in-days":0,"URL":"http:\/\/www.springer.com\/tdm"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2010]]},"DOI":"10.1007\/978-3-642-13657-3_9","type":"book-chapter","created":{"date-parts":[[2010,5,18]],"date-time":"2010-05-18T15:29:16Z","timestamp":1274196556000},"page":"56-67","source":"Crossref","is-referenced-by-count":4,"title":["A Better Strategy of Discovering Link-Pattern Based Communities by Classical Clustering Methods"],"prefix":"10.1007","author":[{"given":"Chen-Yi","family":"Lin","sequence":"first","affiliation":[]},{"given":"Jia-Ling","family":"Koh","sequence":"additional","affiliation":[]},{"given":"Arbee L. P.","family":"Chen","sequence":"additional","affiliation":[]}],"member":"297","reference":[{"key":"9_CR1","doi-asserted-by":"crossref","unstructured":"Chan, P.K., Schlag, M.D.F., Zien, J.Y.: Spectral K-Way Ratio-Cut Partitioning and Clustering. In: Proceedings of the 30th Design Automation Conference, pp. 749\u2013754 (1993)","DOI":"10.1145\/157485.165117"},{"key":"9_CR2","doi-asserted-by":"crossref","unstructured":"Ding, C.H.Q., He, X., Zha, H., Gu, M., Simon, H.D.: A Min-Max Cut Algorithm for Graph Partitioning and Data Clustering. In: Proceedings of the 1st IEEE International Conference on Data Mining, pp. 107\u2013114 (2001)","DOI":"10.1109\/ICDM.2001.989507"},{"key":"9_CR3","doi-asserted-by":"crossref","unstructured":"Flake, G., Lawrence, S., Giles, C.: Efficient Identification of Web Communities. In: Proceedings of the 6th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, pp. 150\u2013160 (2000)","DOI":"10.1145\/347090.347121"},{"key":"9_CR4","volume-title":"Clustering algorithms","author":"J.A. Hartigan","year":"1975","unstructured":"Hartigan, J.A.: Clustering algorithms. John Wiley & Sons, New York (1975)"},{"key":"9_CR5","doi-asserted-by":"crossref","unstructured":"Ino, H., Kudo, M., Nakamura, A.: Partitioning of Web Graphs by Community Topology. In: Proceedings of the 14th International Conference on World Wide Web, pp. 661\u2013669 (2005)","DOI":"10.1145\/1060745.1060841"},{"issue":"11-16","key":"9_CR6","doi-asserted-by":"publisher","first-page":"1481","DOI":"10.1016\/S1389-1286(99)00040-7","volume":"31","author":"R. Kumar","year":"1999","unstructured":"Kumar, R., Raghavan, P., Rajagopalan, S., Tomkins, A.: Trawling the Web for Emerging Cyber-Communities. Journal of Computer Networks\u00a031(11-16), 1481\u20131493 (1999)","journal-title":"Journal of Computer Networks"},{"key":"9_CR7","doi-asserted-by":"crossref","unstructured":"Long, B., Wu, X., Zhang, Z.M., Yu, P.S.: Community Learning by Graph Approximation. In: Proceedings of the 7th IEEE International Conference on Data Mining, pp. 232\u2013241 (2007)","DOI":"10.1109\/ICDM.2007.42"},{"key":"9_CR8","unstructured":"Reddy, P., Kitsuregawa, M.: Inferring Web Communities through Relaxed Cocitation and Dense Bipartite Graphs. In: Proceedings of the 2nd International Conference on Web Information Systems Engineering, pp. 301\u2013310 (2001)"},{"issue":"8","key":"9_CR9","doi-asserted-by":"publisher","first-page":"888","DOI":"10.1109\/34.868688","volume":"22","author":"J. Shi","year":"2000","unstructured":"Shi, J., Malik, J.: Normalized Cuts and Image Segmentation. IEEE Transactions on Pattern Analysis and Machine Intelligence\u00a022(8), 888\u2013905 (2000)","journal-title":"IEEE Transactions on Pattern Analysis and Machine Intelligence"}],"container-title":["Lecture Notes in Computer Science","Advances in Knowledge Discovery and Data Mining"],"original-title":[],"language":"en","link":[{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/978-3-642-13657-3_9","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,2,20]],"date-time":"2025-02-20T23:01:59Z","timestamp":1740092519000},"score":1,"resource":{"primary":{"URL":"http:\/\/link.springer.com\/10.1007\/978-3-642-13657-3_9"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2010]]},"ISBN":["9783642136566","9783642136573"],"references-count":9,"URL":"https:\/\/doi.org\/10.1007\/978-3-642-13657-3_9","relation":{},"ISSN":["0302-9743","1611-3349"],"issn-type":[{"type":"print","value":"0302-9743"},{"type":"electronic","value":"1611-3349"}],"subject":[],"published":{"date-parts":[[2010]]}}}