{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,3,26]],"date-time":"2025-03-26T05:54:01Z","timestamp":1742968441882,"version":"3.40.3"},"publisher-location":"Cham","reference-count":20,"publisher":"Springer Nature Switzerland","isbn-type":[{"type":"print","value":"9783031329098"},{"type":"electronic","value":"9783031329104"}],"license":[{"start":{"date-parts":[[2023,1,1]],"date-time":"2023-01-01T00:00:00Z","timestamp":1672531200000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"},{"start":{"date-parts":[[2023,1,1]],"date-time":"2023-01-01T00:00:00Z","timestamp":1672531200000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2023]]},"DOI":"10.1007\/978-3-031-32910-4_12","type":"book-chapter","created":{"date-parts":[[2023,5,11]],"date-time":"2023-05-11T05:38:34Z","timestamp":1683783514000},"page":"165-176","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":1,"title":["Influential Community Search Over Large Heterogeneous Information Networks"],"prefix":"10.1007","author":[{"given":"Xingyu","family":"Li","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Lihua","family":"Zhou","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Bing","family":"Kong","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Lizhen","family":"Wang","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"297","published-online":{"date-parts":[[2023,5,11]]},"reference":[{"issue":"3\u20135","key":"12_CR1","doi-asserted-by":"publisher","first-page":"75","DOI":"10.1016\/j.physrep.2009.11.002","volume":"486","author":"S Fortunato","year":"2010","unstructured":"Fortunato, S.: Community detection in graphs. Phys. Rep. 486(3\u20135), 75\u2013174 (2010)","journal-title":"Phys. Rep."},{"key":"12_CR2","doi-asserted-by":"publisher","first-page":"87","DOI":"10.1016\/j.jnca.2018.02.011","volume":"108","author":"MA Javed","year":"2018","unstructured":"Javed, M.A., Younis, M.S., Latif, S., Qadir, J., Baig, A.: Community detection in networks: a multidisciplinary review. J. Netw. Comput. Appl. 108, 87\u2013111 (2018)","journal-title":"J. Netw. Comput. Appl."},{"key":"12_CR3","doi-asserted-by":"crossref","unstructured":"Sozio, M., Gionis, A.: The community-search problem and how to plan a successful cocktail party. In: Proceedings of the 16th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, pp. 939\u2013948 (2010)","DOI":"10.1145\/1835804.1835923"},{"key":"12_CR4","doi-asserted-by":"crossref","unstructured":"Cui, W., Xiao, Y., Wang, H., Wang, W.: Local search of communities in large graphs. In: Proceedings of the 2014 ACM SIGMOD International Conference on Management of Data, pp. 991\u20131002 (2014)","DOI":"10.1145\/2588555.2612179"},{"issue":"1","key":"12_CR5","doi-asserted-by":"publisher","first-page":"17","DOI":"10.1109\/TKDE.2016.2598561","volume":"29","author":"C Shi","year":"2016","unstructured":"Shi, C., Li, Y., Zhang, J., Sun, Y., Philip, S.Y.: A survey of heterogeneous information network analysis. IEEE Trans. Knowl. Data Eng. 29(1), 17\u201337 (2016)","journal-title":"IEEE Trans. Knowl. Data Eng."},{"issue":"6","key":"12_CR6","doi-asserted-by":"publisher","first-page":"854","DOI":"10.14778\/3380750.3380756","volume":"13","author":"Y Fang","year":"2020","unstructured":"Fang, Y., Yang, Y., Zhang, W., Lin, X., Cao, X.: Effective and efficient community search over large heterogeneous information networks. Proc. VLDB Endow. 13(6), 854\u2013867 (2020)","journal-title":"Proc. VLDB Endow."},{"key":"12_CR7","doi-asserted-by":"crossref","unstructured":"Yang, Y., Fang, Y., Lin, X., Zhang, W.: Effective and efficient truss computation over large heterogeneous information networks. In: 2020 IEEE 36th International Conference on Data Engineering (ICDE), pp. 901\u2013912. IEEE (2020)","DOI":"10.1109\/ICDE48307.2020.00083"},{"issue":"11","key":"12_CR8","doi-asserted-by":"publisher","first-page":"2307","DOI":"10.14778\/3551793.3551795","volume":"15","author":"Y Jiang","year":"2022","unstructured":"Jiang, Y., Fang, Y., Ma, C., Cao, X., Li, C.: Effective community search over large star-schema heterogeneous information networks. Proc. VLDB Endow. 15(11), 2307\u20132320 (2022)","journal-title":"Proc. VLDB Endow."},{"issue":"3","key":"12_CR9","doi-asserted-by":"publisher","first-page":"269","DOI":"10.1016\/0378-8733(83)90028-X","volume":"5","author":"SB Seidman","year":"1983","unstructured":"Seidman, S.B.: Network structure and minimum degree. Soc. Netw. 5(3), 269\u2013287 (1983)","journal-title":"Soc. Netw."},{"key":"12_CR10","unstructured":"Batagelj, V., Zaversnik, M.: An O (m) algorithm for cores decomposition of networks, arXiv preprint cs\/0310049 (2003)"},{"issue":"11","key":"12_CR11","doi-asserted-by":"publisher","first-page":"1298","DOI":"10.14778\/3137628.3137640","volume":"10","author":"E Akbas","year":"2017","unstructured":"Akbas, E., Zhao, P.: Truss-based community search: a truss-equivalence based indexing approach. Proc. VLDB Endow. 10(11), 1298\u20131309 (2017)","journal-title":"Proc. VLDB Endow."},{"issue":"5","key":"12_CR12","doi-asserted-by":"publisher","first-page":"922","DOI":"10.1109\/TKDE.2017.2783933","volume":"30","author":"L Yuan","year":"2017","unstructured":"Yuan, L., Qin, L., Zhang, W., Chang, L., Yang, J.: Index-based densest clique percolation community search in networks. IEEE Trans. Knowl. Data Eng. 30(5), 922\u2013935 (2017)","journal-title":"IEEE Trans. Knowl. Data Eng."},{"issue":"11","key":"12_CR13","doi-asserted-by":"publisher","first-page":"2455","DOI":"10.1109\/TKDE.2017.2730873","volume":"29","author":"J Hu","year":"2017","unstructured":"Hu, J., Wu, X., Cheng, R., Luo, S., Fang, Y.: On minimal steiner maximum-connected subgraph queries. IEEE Trans. Knowl. Data Eng. 29(11), 2455\u20132469 (2017)","journal-title":"IEEE Trans. Knowl. Data Eng."},{"issue":"6","key":"12_CR14","doi-asserted-by":"publisher","first-page":"751","DOI":"10.1007\/s00778-017-0467-4","volume":"26","author":"R-H Li","year":"2017","unstructured":"Li, R.-H., Qin, L., Yu, J.X., Mao, R.: Finding influential communities in massive networks. VLDB J. 26(6), 751\u2013776 (2017). https:\/\/doi.org\/10.1007\/s00778-017-0467-4","journal-title":"VLDB J."},{"key":"12_CR15","unstructured":"Bi, F., Chang, L., Lin, X., Zhang, W.: An optimal and progressive approach to online search of top-k influential communities, arXiv preprint arXiv:1711.05857 (2017)"},{"key":"12_CR16","doi-asserted-by":"crossref","unstructured":"Li, J., Wang, X., Deng, K., Yang, X., Sellis, T., Yu, J.X.: Most influential community search over large social networks. In: 2017 IEEE 33rd International Conference on Data Engineering (ICDE), pp. 871\u2013882. IEEE (2017)","DOI":"10.1109\/ICDE.2017.136"},{"key":"12_CR17","doi-asserted-by":"publisher","first-page":"254","DOI":"10.1016\/j.ins.2020.10.011","volume":"548","author":"JH Seo","year":"2021","unstructured":"Seo, J.H., Kim, M.H.: Finding influential communities in networks with multiple influence types. Inf. Sci. 548, 254\u2013274 (2021)","journal-title":"Inf. Sci."},{"issue":"11","key":"12_CR18","doi-asserted-by":"publisher","first-page":"992","DOI":"10.14778\/3402707.3402736","volume":"4","author":"Y Sun","year":"2011","unstructured":"Sun, Y., Han, J., Yan, X., Yu, P.S., Wu, T.: Pathsim: Meta path-based top-k similarity search in heterogeneous information networks. Proc. VLDB Endow. 4(11), 992\u20131003 (2011)","journal-title":"Proc. VLDB Endow."},{"key":"12_CR19","series-title":"Lecture Notes in Computer Science","doi-asserted-by":"publisher","first-page":"158","DOI":"10.1007\/978-3-030-73194-6_12","volume-title":"Database Systems for Advanced Applications","author":"L Qiao","year":"2021","unstructured":"Qiao, L., Zhang, Z., Yuan, Y., Chen, C., Wang, G.: Keyword-centric community search over large heterogeneous information networks. In: Jensen, C.S., et al. (eds.) DASFAA 2021. LNCS, vol. 12681, pp. 158\u2013173. Springer, Cham (2021). https:\/\/doi.org\/10.1007\/978-3-030-73194-6_12"},{"key":"12_CR20","doi-asserted-by":"crossref","unstructured":"Huang, Z., Zheng, Y., Cheng, R., Sun, Y., Mamoulis, N., Li, X.: Meta structure: computing relevance in large heterogeneous information networks. In: Proceedings of the 22nd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, pp. 1595\u20131604 (2016)","DOI":"10.1145\/2939672.2939815"}],"container-title":["Lecture Notes in Computer Science","Spatial Data and Intelligence"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/978-3-031-32910-4_12","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2023,5,11]],"date-time":"2023-05-11T05:41:09Z","timestamp":1683783669000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/978-3-031-32910-4_12"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2023]]},"ISBN":["9783031329098","9783031329104"],"references-count":20,"URL":"https:\/\/doi.org\/10.1007\/978-3-031-32910-4_12","relation":{},"ISSN":["0302-9743","1611-3349"],"issn-type":[{"type":"print","value":"0302-9743"},{"type":"electronic","value":"1611-3349"}],"subject":[],"published":{"date-parts":[[2023]]},"assertion":[{"value":"11 May 2023","order":1,"name":"first_online","label":"First Online","group":{"name":"ChapterHistory","label":"Chapter History"}},{"value":"SpatialDI","order":1,"name":"conference_acronym","label":"Conference Acronym","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"International Conference on Spatial Data and Intelligence","order":2,"name":"conference_name","label":"Conference Name","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Nanchang","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":"2023","order":5,"name":"conference_year","label":"Conference Year","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"13 April 2023","order":7,"name":"conference_start_date","label":"Conference Start Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"15 April 2023","order":8,"name":"conference_end_date","label":"Conference End Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"4","order":9,"name":"conference_number","label":"Conference Number","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"spatialdi2023","order":10,"name":"conference_id","label":"Conference ID","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":"68","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":"18","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":"0","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":"26% - 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","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":"3","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":"No","order":9,"name":"external_reviewers_involved","label":"External Reviewers Involved","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}}]}}