{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,3,27]],"date-time":"2025-03-27T05:16:27Z","timestamp":1743052587275,"version":"3.40.3"},"publisher-location":"Cham","reference-count":20,"publisher":"Springer International Publishing","isbn-type":[{"type":"print","value":"9783319992464"},{"type":"electronic","value":"9783319992471"}],"license":[{"start":{"date-parts":[[2018,1,1]],"date-time":"2018-01-01T00:00:00Z","timestamp":1514764800000},"content-version":"unspecified","delay-in-days":0,"URL":"http:\/\/www.springer.com\/tdm"}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2018]]},"DOI":"10.1007\/978-3-319-99247-1_34","type":"book-chapter","created":{"date-parts":[[2018,8,10]],"date-time":"2018-08-10T10:26:21Z","timestamp":1533896781000},"page":"383-395","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":2,"title":["A Network Embedding-Enhanced Approach for Generalized Community Detection"],"prefix":"10.1007","author":[{"given":"Dongxiao","family":"He","sequence":"first","affiliation":[]},{"given":"Xue","family":"Yang","sequence":"additional","affiliation":[]},{"given":"Zhiyong","family":"Feng","sequence":"additional","affiliation":[]},{"given":"Shizhan","family":"Chen","sequence":"additional","affiliation":[]},{"given":"Fran\u00e7oise","family":"Fogelman-Souli\u00e9","sequence":"additional","affiliation":[]}],"member":"297","published-online":{"date-parts":[[2018,8,11]]},"reference":[{"issue":"12","key":"34_CR1","doi-asserted-by":"publisher","first-page":"7821","DOI":"10.1073\/pnas.122653799","volume":"99","author":"M Girvan","year":"2002","unstructured":"Girvan, M., Newman, M.E.J.: Community structure in social and biological networks. Proc. Natl. Acad. Sci. 99(12), 7821\u20137826 (2002)","journal-title":"Proc. Natl. Acad. Sci."},{"key":"34_CR2","unstructured":"Yang, L., Cao, X., He, D., Zhang, W.: Modularity based community detection with deep learning. In: Proceedings of 25th International Joint Conference on Artificial Intelligence (IJCAI 2016), pp. 2252\u20132258. AAAI Press, New York (2016)"},{"key":"34_CR3","doi-asserted-by":"crossref","unstructured":"Jin, D., Chen, Z., He, D., Zhang, W.: Modeling with node degree preservation can accurately find communities. In: Proceedings of the 29th AAAI Conference on Artificial Intelligence. AAAI, Austin (2015)","DOI":"10.1609\/aaai.v29i1.9201"},{"key":"34_CR4","doi-asserted-by":"crossref","unstructured":"Jia, S., et al.: Defining and identifying cograph communities in complex networks. New J. Phys. 17 (2015)","DOI":"10.1088\/1367-2630\/17\/1\/013044"},{"key":"34_CR5","doi-asserted-by":"crossref","unstructured":"Chen, P., Wu, L.: Revisiting spectral graph clustering with generative community models. In: IEEE International Conference on Data Mining, pp. 51\u201360 (2017)","DOI":"10.1109\/ICDM.2017.14"},{"key":"34_CR6","doi-asserted-by":"crossref","unstructured":"Liu, F., Choi, D., Xie, L., Roeder, K.: Global spectral clustering in dynamic networks. Proc. Natl. Acad. Sci. (2018)","DOI":"10.1073\/pnas.1718449115"},{"issue":"1","key":"34_CR7","doi-asserted-by":"publisher","first-page":"012306","DOI":"10.1103\/PhysRevE.93.012306","volume":"93","author":"T Martin","year":"2016","unstructured":"Martin, T., Ball, B., Newman, M.E.J.: Structural inference for uncertain networks. Phys. Rev. E 93(1), 012306 (2016)","journal-title":"Phys. Rev. E"},{"key":"34_CR8","doi-asserted-by":"crossref","unstructured":"He, D., Feng, Z., Jin, D., Wang, X., Zhang, W.: Joint identification of network communities and semantics via integrative modeling of network topologies and node contents. In: Proceedings of the 31th AAAI Conference on Artificial Intelligence. AAAI, San Francisco (2017)","DOI":"10.1609\/aaai.v31i1.10489"},{"key":"34_CR9","doi-asserted-by":"crossref","unstructured":"Jin, D., Wang, X., He, R., He, D., Dang, J., Zhang, W.: Robust detection of link communities in large social networks by exploiting link semantics. In: Proceedings of the 32th AAAI Conference on Artificial Intelligence. AAAI, New Orleans (2018)","DOI":"10.1609\/aaai.v32i1.11283"},{"key":"34_CR10","doi-asserted-by":"publisher","first-page":"1","DOI":"10.1016\/j.physrep.2016.09.002","volume":"659","author":"S Fortunato","year":"2016","unstructured":"Fortunato, S., Hric, D.: Community detection in networks: a user guide. Phys. Rep. 659, 1\u201344 (2016)","journal-title":"Phys. Rep."},{"issue":"8","key":"34_CR11","doi-asserted-by":"publisher","first-page":"088701","DOI":"10.1103\/PhysRevLett.115.088701","volume":"115","author":"MEJ Newman","year":"2015","unstructured":"Newman, M.E.J., Peixoto, T.P.: Generalized communities in networks. Phys. Rev. Lett. 115(8), 088701 (2015)","journal-title":"Phys. Rev. Lett."},{"key":"34_CR12","doi-asserted-by":"crossref","unstructured":"Grover, A., Leskovec, J.: Node2vec: scalable feature learning for networks. In: Proceedings of the 22nd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, pp. 855\u2013864 (2016)","DOI":"10.1145\/2939672.2939754"},{"key":"34_CR13","unstructured":"Newman, M.E.J.: Real-world network data in Newman\u2019s homepage (2017). http:\/\/www-personal.umich.edu\/~mejn\/netdata\/"},{"key":"34_CR14","doi-asserted-by":"publisher","first-page":"1","DOI":"10.1145\/2501654.2501657","volume":"45","author":"J Xie","year":"2013","unstructured":"Xie, J., Kelley, S., Szymanski, B.K.: Overlapping community detection in networks: the state of the art and comparative study. ACM Comput. Surv. 45, 1\u201335 (2013)","journal-title":"ACM Comput. Surv."},{"issue":"3","key":"34_CR15","doi-asserted-by":"publisher","first-page":"93","DOI":"10.1609\/aimag.v29i3.2157","volume":"29","author":"P Sen","year":"2008","unstructured":"Sen, P., Namata, G., Bilgic, M., Getoor, L., Gallagher, B., Eliassi-Rad, T.: Collective classification in network data. AI Mag. 29(3), 93\u2013106 (2008)","journal-title":"AI Mag."},{"issue":"1","key":"34_CR16","doi-asserted-by":"publisher","first-page":"016107","DOI":"10.1103\/PhysRevE.83.016107","volume":"83","author":"B Karrer","year":"2011","unstructured":"Karrer, B., Newman, M.E.J.: Stochastic block models and community structure in networks. Phys. Rev. E 83(1), 016107 (2011)","journal-title":"Phys. Rev. E"},{"issue":"3","key":"34_CR17","doi-asserted-by":"publisher","first-page":"493","DOI":"10.1007\/s10618-010-0181-y","volume":"22","author":"F Wang","year":"2011","unstructured":"Wang, F., Li, T., Wang, X., Zhu, S., Ding, C.: Community discovery using nonnegative matrix factorization. Data Min. Knowl. Discov. 22(3), 493\u2013521 (2011)","journal-title":"Data Min. Knowl. Discov."},{"key":"34_CR18","doi-asserted-by":"crossref","unstructured":"Zhang, Y., Yeung, D.Y.: Overlapping community detection via bounded nonnegative matrix factorization. In: Proceedings of the 18th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, pp. 606\u2013614. ACM Press, New York (2012)","DOI":"10.1145\/2339530.2339629"},{"issue":"23","key":"34_CR19","doi-asserted-by":"publisher","first-page":"9564","DOI":"10.1073\/pnas.0610537104","volume":"104","author":"ME Newman","year":"2006","unstructured":"Newman, M.E., Leicht, E.: Mixture models and exploratory analysis in networks. Proc. Natl. Acad. Sci. U.S.A. 104(23), 9564 (2006)","journal-title":"Proc. Natl. Acad. Sci. U.S.A."},{"issue":"7","key":"34_CR20","doi-asserted-by":"publisher","first-page":"1299","DOI":"10.1109\/TPAMI.2011.217","volume":"34","author":"H Liu","year":"2012","unstructured":"Liu, H., Wu, Z., Li, X., Cai, D., Huang, T.: Constrained nonnegative matrix factorization for image representation. IEEE Trans. Pattern Anal. Mach. Intell. 34(7), 1299\u20131311 (2012)","journal-title":"IEEE Trans. Pattern Anal. Mach. Intell."}],"container-title":["Lecture Notes in Computer Science","Knowledge Science, Engineering and Management"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/978-3-319-99247-1_34","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,3,12]],"date-time":"2024-03-12T08:38:54Z","timestamp":1710232734000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/978-3-319-99247-1_34"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2018]]},"ISBN":["9783319992464","9783319992471"],"references-count":20,"URL":"https:\/\/doi.org\/10.1007\/978-3-319-99247-1_34","relation":{},"ISSN":["0302-9743","1611-3349"],"issn-type":[{"type":"print","value":"0302-9743"},{"type":"electronic","value":"1611-3349"}],"subject":[],"published":{"date-parts":[[2018]]},"assertion":[{"value":"11 August 2018","order":1,"name":"first_online","label":"First Online","group":{"name":"ChapterHistory","label":"Chapter History"}},{"value":"KSEM","order":1,"name":"conference_acronym","label":"Conference Acronym","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"International Conference on Knowledge Science, Engineering and Management","order":2,"name":"conference_name","label":"Conference Name","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Changchun","order":3,"name":"conference_city","label":"Conference City","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"China","order":4,"name":"conference_country","label":"Conference Country","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"2018","order":5,"name":"conference_year","label":"Conference Year","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"17 August 2018","order":7,"name":"conference_start_date","label":"Conference Start Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"19 August 2018","order":8,"name":"conference_end_date","label":"Conference End Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"11","order":9,"name":"conference_number","label":"Conference Number","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"ksem2018","order":10,"name":"conference_id","label":"Conference ID","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"http:\/\/ksem2018.venue.link\/","order":11,"name":"conference_url","label":"Conference URL","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Single-blind","order":1,"name":"type","label":"Type","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"EasyChair","order":2,"name":"conference_management_system","label":"Conference Management System","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"262","order":3,"name":"number_of_submissions_sent_for_review","label":"Number of Submissions Sent for Review","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"62","order":4,"name":"number_of_full_papers_accepted","label":"Number of Full Papers Accepted","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"26","order":5,"name":"number_of_short_papers_accepted","label":"Number of Short Papers Accepted","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"24% - The value is computed by the equation \"Number of Full Papers Accepted \/ Number of Submissions Sent for Review * 100\" and then rounded to a whole number.","order":6,"name":"acceptance_rate_of_full_papers","label":"Acceptance Rate of Full Papers","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"3.1","order":7,"name":"average_number_of_reviews_per_paper","label":"Average Number of Reviews per Paper","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"10","order":8,"name":"average_number_of_papers_per_reviewer","label":"Average Number of Papers per Reviewer","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"Yes","order":9,"name":"external_reviewers_involved","label":"External Reviewers Involved","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"We have 3 reviews for 235 submissions, 4 reviews for 25 submissions and 5 review for 2 submissions.","order":10,"name":"additional_info_on_review_process","label":"Additional Info on Review Process","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}}]}}