{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,3,26]],"date-time":"2025-03-26T06:13:29Z","timestamp":1742969609213,"version":"3.40.3"},"publisher-location":"Singapore","reference-count":29,"publisher":"Springer Nature Singapore","isbn-type":[{"type":"print","value":"9789819723027"},{"type":"electronic","value":"9789819723034"}],"license":[{"start":{"date-parts":[[2024,1,1]],"date-time":"2024-01-01T00:00:00Z","timestamp":1704067200000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"},{"start":{"date-parts":[[2024,1,1]],"date-time":"2024-01-01T00:00:00Z","timestamp":1704067200000},"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":[[2024]]},"DOI":"10.1007\/978-981-97-2303-4_16","type":"book-chapter","created":{"date-parts":[[2024,5,28]],"date-time":"2024-05-28T08:02:03Z","timestamp":1716883323000},"page":"236-251","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":0,"title":["Epidemic Source Identification Based on\u00a0Infection Graph Learning"],"prefix":"10.1007","author":[{"given":"Xingyun","family":"Hong","sequence":"first","affiliation":[]},{"given":"Ting","family":"Yu","sequence":"additional","affiliation":[]},{"given":"Zhao","family":"Li","sequence":"additional","affiliation":[]},{"given":"Ji","family":"Zhang","sequence":"additional","affiliation":[]}],"member":"297","published-online":{"date-parts":[[2024,5,29]]},"reference":[{"issue":"12","key":"16_CR1","doi-asserted-by":"publisher","first-page":"3113","DOI":"10.1016\/j.socscimed.2006.08.004","volume":"63","author":"RD Smith","year":"2006","unstructured":"Smith, R.D.: Responding to global infectious disease outbreaks: lessons from SARS on the role of risk perception, communication and management. Soc. Sci. Med. 63(12), 3113\u20133123 (2006)","journal-title":"Soc. Sci. Med."},{"key":"16_CR2","doi-asserted-by":"publisher","unstructured":"Kostka, J., Oswald, Y.A., Wattenhofer, R.: Word of mouth: rumor dissemination in social networks. In: Shvartsman, A.A., Felber, P. (eds.) International Colloquium on Structural Information and Communication Complexity, pp. 185\u2013196. Springer, Heidelberg (2008). https:\/\/doi.org\/10.1007\/978-3-540-69355-0_16","DOI":"10.1007\/978-3-540-69355-0_16"},{"key":"16_CR3","doi-asserted-by":"crossref","unstructured":"Lappas, T., Terzi, E., Gunopulos, D., et al.: Finding effectors in social networks. In: Proceedings of the 16th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, pp. 1059\u20131068 (2010)","DOI":"10.1145\/1835804.1835937"},{"issue":"3","key":"16_CR4","doi-asserted-by":"publisher","first-page":"925","DOI":"10.1103\/RevModPhys.87.925","volume":"87","author":"R Pastor-Satorras","year":"2015","unstructured":"Pastor-Satorras, R., Castellano, C., Van, M.P., et al.: Epidemic processes in complex networks. Rev. Mod. Phys. 87(3), 925 (2015)","journal-title":"Rev. Mod. Phys."},{"issue":"4","key":"16_CR5","doi-asserted-by":"publisher","first-page":"599","DOI":"10.1137\/S0036144500371907","volume":"42","author":"HW Hethcote","year":"2000","unstructured":"Hethcote, H.W.: The mathematics of infectious diseases. SIAM Rev. 42(4), 599\u2013653 (2000)","journal-title":"SIAM Rev."},{"issue":"5","key":"16_CR6","doi-asserted-by":"publisher","first-page":"806","DOI":"10.1007\/s11704-014-3369-2","volume":"9","author":"W Duan","year":"2015","unstructured":"Duan, W., Fan, Z., Zhang, P., et al.: Mathematical and computational approaches to epidemic modeling: a comprehensive review. Front. Comput. Sci. 9(5), 806\u2013826 (2015)","journal-title":"Front. Comput. Sci."},{"key":"16_CR7","doi-asserted-by":"crossref","unstructured":"Anderson, R.M., May, R.M.: Infectious Diseases of Humans: Dynamics and Control. Oxford University Press, Oxford (1992)","DOI":"10.1093\/oso\/9780198545996.001.0001"},{"issue":"1","key":"16_CR8","doi-asserted-by":"publisher","first-page":"83","DOI":"10.1016\/0025-5564(94)90025-6","volume":"124","author":"LJS Allen","year":"1994","unstructured":"Allen, L.J.S.: Some discrete-time SI, SIR, and SIS epidemic models. Math. Biosci. 124(1), 83\u2013105 (1994)","journal-title":"Math. Biosci."},{"key":"16_CR9","doi-asserted-by":"crossref","unstructured":"Kempe, D., Kleinberg, J., Tardos, \u00c9.: Maximizing the spread of influence through a social network. In: Proceedings of the Ninth ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, pp. 137\u2013146 (2003)","DOI":"10.1145\/956750.956769"},{"issue":"1","key":"16_CR10","doi-asserted-by":"publisher","DOI":"10.1103\/PhysRevE.90.012801","volume":"90","author":"AY Lokhov","year":"2014","unstructured":"Lokhov, A.Y., M\u00e9zard, M., Ohta, H., et al.: Inferring the origin of an epidemic with a dynamic message-passing algorithm. Phys. Rev. E 90(1), 012801 (2014)","journal-title":"Phys. Rev. E"},{"key":"16_CR11","doi-asserted-by":"crossref","unstructured":"Antulov, F.N., et al.: Identification of patient zero in static and temporal networks. Robustness and limitations. Phys. Rev. Lett. 114(24), 248701 (2015)","DOI":"10.1103\/PhysRevLett.114.248701"},{"issue":"1","key":"16_CR12","doi-asserted-by":"publisher","first-page":"35","DOI":"10.1007\/s10115-013-0671-5","volume":"38","author":"BA Prakash","year":"2014","unstructured":"Prakash, B.A., Vreeken, J., Faloutsos, C.: Efficiently spotting the starting points of an epidemic in a large graph. Knowl. Inf. Syst. 38(1), 35\u201359 (2014)","journal-title":"Knowl. Inf. Syst."},{"key":"16_CR13","doi-asserted-by":"crossref","unstructured":"Shah, D., Zaman, T.: Detecting sources of computer viruses in networks: theory and experiment. In: Proceedings of the ACM SIGMETRICS International Conference on Measurement and Modeling of Computer Systems, pp. 203\u2013214 (2010)","DOI":"10.1145\/1811099.1811063"},{"issue":"1","key":"16_CR14","doi-asserted-by":"publisher","first-page":"408","DOI":"10.1109\/TNET.2014.2364972","volume":"24","author":"K Zhu","year":"2016","unstructured":"Zhu, K., Ying, L.: Information source detection in the SIR model: a sample-path-based approach. IEEE\/ACM Trans. Networking 24(1), 408\u2013421 (2016)","journal-title":"IEEE\/ACM Trans. Networking"},{"key":"16_CR15","unstructured":"Fioriti, V., Chinnici, M.: Predicting the sources of an outbreak with a spectral technique. arXiv preprint arXiv: 1211.2333 (2012)"},{"issue":"5","key":"16_CR16","doi-asserted-by":"publisher","DOI":"10.1103\/PhysRevE.84.056105","volume":"84","author":"CH Comin","year":"2011","unstructured":"Comin, C.H., Costa, L.: Identifying the starting point of a spreading process in complex networks. Phys. Rev. E 84(5), 056105 (2011)","journal-title":"Phys. Rev. E"},{"key":"16_CR17","unstructured":"Kipf, T.N., Welling, M.: Semi-supervised classification with graph convolutional networks. In: Proceedings of ICLR (2017)"},{"key":"16_CR18","unstructured":"Velikovi, P., Cucurull, G., Casanova, A., et al.: Graph attention networks. In: Proceedings of ICLR (2018)"},{"key":"16_CR19","doi-asserted-by":"publisher","first-page":"2075","DOI":"10.1007\/s11280-022-01129-9","volume":"26","author":"Y Liu","year":"2023","unstructured":"Liu, Y., Cao, J., Wu, J., et al.: Modeling the social influence of COVID-19 via personalized propagation with deep learning. World Wide Web 26, 2075\u20132097 (2023)","journal-title":"World Wide Web"},{"key":"16_CR20","unstructured":"Zheng, W., Chaokun, W., Jisheng, P., Xiaojun, Y.: Multiple source detection without knowing the underlying propagation model. In: AAAI, pp. 217\u2013223 (2017)"},{"key":"16_CR21","doi-asserted-by":"crossref","unstructured":"Dong, M., Zheng, B., Quoc, V.H.N., et al.: Multiple rumor source detection with graph convolutional networks. In: Proceedings of the 28th ACM International Conference on Information and Knowledge Management, pp. 569-578 (2019)","DOI":"10.1145\/3357384.3357994"},{"key":"16_CR22","unstructured":"Shah, C., Dehmamy, N., Perra, N., et al.: Finding patient zero: learning contagion source with graph neural networks. arXiv preprint arXiv:2006.11913 (2020)"},{"key":"16_CR23","doi-asserted-by":"crossref","unstructured":"Guo, Q., Zhang, C., Zhang, H., et al.: IGCN: infected graph convolutional network based source identification. In: 2021 IEEE Global Communications Conference (GLOBECOM), pp. 1\u20136. IEEE (2021)","DOI":"10.1109\/GLOBECOM46510.2021.9686008"},{"key":"16_CR24","doi-asserted-by":"publisher","DOI":"10.1016\/j.jbi.2021.103720","volume":"116","author":"L Li","year":"2021","unstructured":"Li, L., Zhou, J., Jiang, Y., et al.: Propagation source identification of infectious diseases with graph convolutional networks. J. Biomed. Inform. 116, 103720 (2021)","journal-title":"J. Biomed. Inform."},{"key":"16_CR25","doi-asserted-by":"crossref","unstructured":"Chen, S., Yu, P.D., Tan, C.W., et al.: Identifying the superspreader in proactive backward contact tracing by deep learning. In: 2022 56th Annual Conference on Information Sciences and Systems (CISS), pp. 43\u201348. IEEE (2022)","DOI":"10.1109\/CISS53076.2022.9751196"},{"issue":"1","key":"16_CR26","doi-asserted-by":"publisher","first-page":"47","DOI":"10.1103\/RevModPhys.74.47","volume":"74","author":"A R\u00e9ka","year":"2002","unstructured":"R\u00e9ka, A., Albert-L\u00e1szl\u00f3, B.: Statistical mechanics of complex networks. Rev. Mod. Phys. 74(1), 47 (2002)","journal-title":"Rev. Mod. Phys."},{"issue":"4","key":"16_CR27","doi-asserted-by":"publisher","first-page":"452","DOI":"10.1086\/jar.33.4.3629752","volume":"33","author":"WZ Wayne","year":"1977","unstructured":"Wayne, W.Z.: An information flow model for conflict and fission in small groups. J. Anthropol. Res. 33(4), 452\u2013473 (1977)","journal-title":"J. Anthropol. Res."},{"issue":"4","key":"16_CR28","doi-asserted-by":"publisher","first-page":"396","DOI":"10.1007\/s00265-003-0651-y","volume":"54","author":"L David","year":"2003","unstructured":"David, L., Karsten, S., Oliver, J.B., et al.: The bottlenose dolphin community of doubtful sound features a large proportion of long-lasting associations. Behav. Ecol. Sociobiol. 54(4), 396\u2013405 (2003)","journal-title":"Behav. Ecol. Sociobiol."},{"issue":"6684","key":"16_CR29","doi-asserted-by":"publisher","first-page":"440","DOI":"10.1038\/30918","volume":"393","author":"JW Duncan","year":"1998","unstructured":"Duncan, J.W., Steven, H.S.: Collective dynamics of \u201csmall-world\u2019\u2019 networks. Nature 393(6684), 440 (1998)","journal-title":"Nature"}],"container-title":["Lecture Notes in Computer Science","Web and Big Data"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/978-981-97-2303-4_16","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,5,28]],"date-time":"2024-05-28T08:05:48Z","timestamp":1716883548000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/978-981-97-2303-4_16"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2024]]},"ISBN":["9789819723027","9789819723034"],"references-count":29,"URL":"https:\/\/doi.org\/10.1007\/978-981-97-2303-4_16","relation":{},"ISSN":["0302-9743","1611-3349"],"issn-type":[{"type":"print","value":"0302-9743"},{"type":"electronic","value":"1611-3349"}],"subject":[],"published":{"date-parts":[[2024]]},"assertion":[{"value":"29 May 2024","order":1,"name":"first_online","label":"First Online","group":{"name":"ChapterHistory","label":"Chapter History"}},{"value":"APWeb-WAIM","order":1,"name":"conference_acronym","label":"Conference Acronym","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Asia-Pacific Web (APWeb) and Web-Age Information Management (WAIM) Joint International Conference on Web and Big Data","order":2,"name":"conference_name","label":"Conference Name","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Wuhan","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":"6 October 2023","order":7,"name":"conference_start_date","label":"Conference Start Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"8 October 2023","order":8,"name":"conference_end_date","label":"Conference End Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"7","order":9,"name":"conference_number","label":"Conference Number","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"apwebwaim2023","order":10,"name":"conference_id","label":"Conference ID","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"http:\/\/www.apweb-waim2023.com\/","order":11,"name":"conference_url","label":"Conference URL","group":{"name":"ConferenceInfo","label":"Conference Information"}}]}}