{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,5,8]],"date-time":"2026-05-08T08:12:42Z","timestamp":1778227962169,"version":"3.51.4"},"publisher-location":"Singapore","reference-count":22,"publisher":"Springer Nature Singapore","isbn-type":[{"value":"9789819203659","type":"print"},{"value":"9789819203666","type":"electronic"}],"license":[{"start":{"date-parts":[[2026,1,1]],"date-time":"2026-01-01T00:00:00Z","timestamp":1767225600000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"},{"start":{"date-parts":[[2026,1,1]],"date-time":"2026-01-01T00:00:00Z","timestamp":1767225600000},"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":[[2026]]},"DOI":"10.1007\/978-981-92-0366-6_19","type":"book-chapter","created":{"date-parts":[[2026,5,8]],"date-time":"2026-05-08T07:44:08Z","timestamp":1778226248000},"page":"300-316","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":0,"title":["Rumor Prevention: Approach of\u00a0Minimizing the\u00a0Competitive Influence of\u00a0Unknown Rumors in\u00a0Multi-layer Social Networks"],"prefix":"10.1007","author":[{"given":"Fei","family":"Gao","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Qiang","family":"He","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Xingwei","family":"Wang","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Lin","family":"Qiu","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Min","family":"Huang","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"297","published-online":{"date-parts":[[2026,5,9]]},"reference":[{"issue":"2","key":"19_CR1","doi-asserted-by":"publisher","first-page":"714","DOI":"10.1016\/j.ejor.2021.06.060","volume":"298","author":"P Agarwal","year":"2022","unstructured":"Agarwal, P., Al Aziz, R., Zhuang, J.: Interplay of rumor propagation and clarification on social media during crisis events-a game-theoretic approach. Eur. J. Oper. Res. 298(2), 714\u2013733 (2022)","journal-title":"Eur. J. Oper. Res."},{"issue":"11","key":"19_CR2","doi-asserted-by":"publisher","first-page":"6779","DOI":"10.1109\/TSMC.2019.2963418","volume":"51","author":"L Ding","year":"2020","unstructured":"Ding, L., Hu, P., Guan, Z.H., Li, T.: An efficient hybrid control strategy for restraining rumor spreading. IEEE Trans. Syst. Man Cybern. Syst. 51(11), 6779\u20136791 (2020)","journal-title":"IEEE Trans. Syst. Man Cybern. Syst."},{"key":"19_CR3","doi-asserted-by":"publisher","DOI":"10.1016\/j.ins.2024.120402","volume":"667","author":"Y Ding","year":"2024","unstructured":"Ding, Y., Zhu, L.: Turing instability analysis of a rumor propagation model with time delay on non-network and complex networks. Inf. Sci. 667, 120402 (2024)","journal-title":"Inf. Sci."},{"key":"19_CR4","doi-asserted-by":"crossref","unstructured":"Fang, L., Feng, K., Zhao, K., Hu, A., Li, T.: Unsupervised rumor detection based on propagation tree vae. IEEE Trans. Knowl. Data Eng. (2023)","DOI":"10.1109\/TKDE.2023.3267821"},{"key":"19_CR5","doi-asserted-by":"crossref","unstructured":"He, Q., Zhang, D., Wang, X., Ma, L., Zhao, Y., Gao, F., Huang, M.: Graph convolutional network-based rumor blocking on social networks. IEEE Trans. Comput. Soc. Syst. (2022)","DOI":"10.1109\/TCSS.2022.3188701"},{"key":"19_CR6","doi-asserted-by":"publisher","DOI":"10.1016\/j.knosys.2019.105452","volume":"193","author":"AIE Hosni","year":"2020","unstructured":"Hosni, A.I.E., Li, K.: Minimizing the influence of rumors during breaking news events in online social networks. Knowl.-Based Syst. 193, 105452 (2020)","journal-title":"Knowl.-Based Syst."},{"key":"19_CR7","doi-asserted-by":"crossref","unstructured":"Huang, Q., Zhou, C., Wu, J., Wang, M., Wang, B.: Deep structure learning for rumor detection on twitter. In: 2019 International Joint Conference on Neural Networks (IJCNN), pp.\u00a01\u20138. IEEE (2019)","DOI":"10.1109\/IJCNN.2019.8852468"},{"key":"19_CR8","doi-asserted-by":"publisher","first-page":"391","DOI":"10.1016\/j.ins.2020.05.037","volume":"536","author":"J Li","year":"2020","unstructured":"Li, J., Jiang, H., Mei, X., Hu, C., Zhang, G.: Dynamical analysis of rumor spreading model in multi-lingual environment and heterogeneous complex networks. Inf. Sci. 536, 391\u2013408 (2020)","journal-title":"Inf. Sci."},{"issue":"2","key":"19_CR9","doi-asserted-by":"publisher","first-page":"925","DOI":"10.1109\/TCDS.2022.3193576","volume":"15","author":"Q Li","year":"2023","unstructured":"Li, Q., Xiang, T., Dai, T., Xiao, Y.: An information dissemination model based on the rumor and anti-rumor and stimulate-rumor and tripartite cognitive game. IEEE Trans. Cogn. Dev. Syst. 15(2), 925\u2013937 (2023)","journal-title":"IEEE Trans. Cogn. Dev. Syst."},{"key":"19_CR10","doi-asserted-by":"crossref","unstructured":"Sun, M., Zhang, X., Ma, J., Xie, S., Liu, Y., Philip, S.Y.: Inconsistent matters: a knowledge-guided dual-consistency network for multi-modal rumor detection. IEEE Trans. Knowl. Data Eng. (2023)","DOI":"10.1109\/TKDE.2023.3275586"},{"key":"19_CR11","doi-asserted-by":"crossref","unstructured":"Sun, X., et al.: Structure learning via meta-hyperedge for dynamic rumor detection. IEEE Trans. Knowl. Data Eng. (2022)","DOI":"10.1109\/TKDE.2022.3221438"},{"issue":"10","key":"19_CR12","doi-asserted-by":"publisher","first-page":"2168","DOI":"10.1109\/TKDE.2017.2728064","volume":"29","author":"B Wang","year":"2017","unstructured":"Wang, B., Chen, G., Fu, L., Song, L., Wang, X.: Drimux: dynamic rumor influence minimization with user experience in social networks. IEEE Trans. Knowl. Data Eng. 29(10), 2168\u20132181 (2017)","journal-title":"IEEE Trans. Knowl. Data Eng."},{"key":"19_CR13","doi-asserted-by":"crossref","unstructured":"Wang, Y.C., et al.: A multiple features fusion-based social network node importance measure for rumor control. Soft. Comput. 28(3), 2501\u20132516 (2024)","DOI":"10.1007\/s00500-023-08510-4"},{"key":"19_CR14","unstructured":"Wei, L., Hu, D., Zhou, W., Wang, X., Hu, S.: Modeling the uncertainty of information propagation for rumor detection: a neuro-fuzzy approach. IEEE Trans. Neural Netw. Learn. Syst. (2022)"},{"issue":"5","key":"19_CR15","first-page":"4682","volume":"35","author":"Y Xiao","year":"2022","unstructured":"Xiao, Y., Huang, Z., Li, Q., Lu, X., Li, T.: Diffusion pixelation: a game diffusion model of rumor & anti-rumor inspired by image restoration. IEEE Trans. Knowl. Data Eng. 35(5), 4682\u20134694 (2022)","journal-title":"IEEE Trans. Knowl. Data Eng."},{"issue":"3","key":"19_CR16","doi-asserted-by":"publisher","first-page":"1910","DOI":"10.1109\/TNSM.2020.2994141","volume":"17","author":"Y Xiao","year":"2020","unstructured":"Xiao, Y., Yang, Q., Sang, C., Liu, Y.: Rumor diffusion model based on representation learning and anti-rumor. IEEE Trans. Netw. Serv. Manage. 17(3), 1910\u20131923 (2020)","journal-title":"IEEE Trans. Netw. Serv. Manage."},{"key":"19_CR17","doi-asserted-by":"crossref","unstructured":"Xu, P., Peng, Z., Wang, L.: Proactive rumor control: When impression counts. In: Pacific-Asia Conference on Knowledge Discovery and Data Mining, pp. 30\u201342. Springer (2023)","DOI":"10.1007\/978-3-031-33383-5_3"},{"key":"19_CR18","doi-asserted-by":"crossref","unstructured":"Yao, X., Gao, N., Gu, C., Huang, H.: Enhance rumor controlling algorithms based on boosting and blocking users in social networks. IEEE Trans. Comput. Soc. Syst. (2022)","DOI":"10.1109\/TCSS.2022.3182337"},{"key":"19_CR19","doi-asserted-by":"publisher","first-page":"41","DOI":"10.1016\/j.comcom.2021.10.041","volume":"182","author":"X Yao","year":"2022","unstructured":"Yao, X., Gu, Y., Gu, C., Huang, H.: Fast controlling of rumors with limited cost in social networks. Comput. Commun. 182, 41\u201351 (2022)","journal-title":"Comput. Commun."},{"key":"19_CR20","doi-asserted-by":"publisher","first-page":"18","DOI":"10.1016\/j.ins.2021.08.096","volume":"581","author":"S Yu","year":"2021","unstructured":"Yu, S., Yu, Z., Jiang, H., Yang, S.: The dynamics and control of 2i2sr rumor spreading models in multilingual online social networks. Inf. Sci. 581, 18\u201341 (2021)","journal-title":"Inf. Sci."},{"key":"19_CR21","doi-asserted-by":"publisher","first-page":"857","DOI":"10.1016\/j.ins.2021.09.012","volume":"580","author":"Z Yu","year":"2021","unstructured":"Yu, Z., Lu, S., Wang, D., Li, Z.: Modeling and analysis of rumor propagation in social networks. Inf. Sci. 580, 857\u2013873 (2021)","journal-title":"Inf. Sci."},{"key":"19_CR22","unstructured":"Zehmakan, A.N., Out, C., Khelejan, S.H.: Why rumors spread fast in social networks, and how to stop it. In: proceedings of the 32nd International Joint Conference on Artificial Intelligence (IJCAI\u201923). International Joint Conferences on Artificial Intelligence Organization (2023)"}],"container-title":["Lecture Notes in Computer Science","Database Systems for Advanced Applications"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/978-981-92-0366-6_19","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2026,5,8]],"date-time":"2026-05-08T07:44:16Z","timestamp":1778226256000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/978-981-92-0366-6_19"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2026]]},"ISBN":["9789819203659","9789819203666"],"references-count":22,"URL":"https:\/\/doi.org\/10.1007\/978-981-92-0366-6_19","relation":{},"ISSN":["0302-9743","1611-3349"],"issn-type":[{"value":"0302-9743","type":"print"},{"value":"1611-3349","type":"electronic"}],"subject":[],"published":{"date-parts":[[2026]]},"assertion":[{"value":"9 May 2026","order":1,"name":"first_online","label":"First Online","group":{"name":"ChapterHistory","label":"Chapter History"}},{"value":"DASFAA","order":1,"name":"conference_acronym","label":"Conference Acronym","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"International Conference on Database Systems for Advanced Applications","order":2,"name":"conference_name","label":"Conference Name","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Jeju","order":3,"name":"conference_city","label":"Conference City","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Korea (Republic of)","order":4,"name":"conference_country","label":"Conference Country","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"2026","order":5,"name":"conference_year","label":"Conference Year","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"27 April 2026","order":7,"name":"conference_start_date","label":"Conference Start Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"30 April 2026","order":8,"name":"conference_end_date","label":"Conference End Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"31","order":9,"name":"conference_number","label":"Conference Number","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"dasfaa2026","order":10,"name":"conference_id","label":"Conference ID","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"https:\/\/dasfaa2026.github.io\/index.html","order":11,"name":"conference_url","label":"Conference URL","group":{"name":"ConferenceInfo","label":"Conference Information"}}]}}