{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,9,16]],"date-time":"2026-09-16T07:02:30Z","timestamp":1789542150502,"version":"build-2803163510"},"publisher-location":"Cham","reference-count":23,"publisher":"Springer Nature Switzerland","isbn-type":[{"value":"9783032384096","type":"print"},{"value":"9783032384102","type":"electronic"}],"license":[{"start":{"date-parts":[[2026,9,17]],"date-time":"2026-09-17T00:00:00Z","timestamp":1789603200000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"},{"start":{"date-parts":[[2026,9,17]],"date-time":"2026-09-17T00:00:00Z","timestamp":1789603200000},"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":[[2027]]},"DOI":"10.1007\/978-3-032-38410-2_38","type":"book-chapter","created":{"date-parts":[[2026,9,16]],"date-time":"2026-09-16T06:08:12Z","timestamp":1789538892000},"page":"464-476","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":0,"title":["Complexity-Driven Agent Routing for\u00a0Scalable Opinion Dynamic Simulation"],"prefix":"10.1007","author":[{"given":"Qiucheng","family":"Yu","sequence":"first","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Dongmei","family":"Zhou","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Xiaojun","family":"Wang","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Bingmeng","family":"Zhu","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"297","published-online":{"date-parts":[[2026,9,17]]},"reference":[{"issue":"4","key":"38_CR1","doi-asserted-by":"publisher","DOI":"10.1103\/PhysRevLett.124.048301","volume":"124","author":"F Baumann","year":"2020","unstructured":"Baumann, F., Lorenz-Spreen, P., Sokolov, I.M., Starnini, M.: Modeling echo chambers and polarization dynamics in social networks. Phys. Rev. Lett. 124(4), 048301 (2020)","journal-title":"Phys. Rev. Lett."},{"key":"38_CR2","unstructured":"Berndt, D.J., Clifford, J.: Using dynamic time warping to find patterns in time series. In: Proceedings of the 3rd international conference on knowledge discovery and data mining, pp. 359\u2013370 (1994)"},{"key":"38_CR3","unstructured":"Chen, W., et al.: Agentverse: facilitating multi-agent collaboration and exploring emergent behaviors. In: The Twelfth International Conference on Learning Representations (2024)"},{"key":"38_CR4","doi-asserted-by":"crossref","unstructured":"Chopra, A., Kumar, S., Kuru, N.G., Raskar, R., Quera-Bofarull, A.: On the limits of agency in agent-based models. In: Proceedings of the 24th International Conference on Autonomous Agents and Multiagent Systems, pp. 500\u2013509 (2025)","DOI":"10.65109\/FBDX5907"},{"key":"38_CR5","doi-asserted-by":"crossref","unstructured":"Chuang, Y.S., et al.: Simulating opinion dynamics with networks of LLM-based agents. In: Findings of the association for computational linguistics: NAACL 2024, pp. 3326\u20133346 (2024)","DOI":"10.18653\/v1\/2024.findings-naacl.211"},{"key":"38_CR6","doi-asserted-by":"crossref","unstructured":"Deffuant, G., Neau, D., Amblard, F., Weisbuch, G.: Mixing beliefs among interacting agents. In: Advances in complex systems 3(01n04), pp. 87\u201398 (2000)","DOI":"10.1142\/S0219525900000078"},{"issue":"345","key":"38_CR7","doi-asserted-by":"publisher","first-page":"118","DOI":"10.1080\/01621459.1974.10480137","volume":"69","author":"MH DeGroot","year":"1974","unstructured":"DeGroot, M.H.: Reaching a consensus. J. Am. Stat. Assoc. 69(345), 118\u2013121 (1974)","journal-title":"J. Am. Stat. Assoc."},{"issue":"6310","key":"38_CR8","doi-asserted-by":"publisher","first-page":"321","DOI":"10.1126\/science.aag2624","volume":"354","author":"NE Friedkin","year":"2016","unstructured":"Friedkin, N.E., Proskurnikov, A.V., Tempo, R., Parsegov, S.E.: Network science on belief system dynamics under logic constraints. Science 354(6310), 321\u2013326 (2016)","journal-title":"Science"},{"key":"38_CR9","doi-asserted-by":"crossref","unstructured":"Gao, C., Lan, X., Lu, Z., Mao, J., Piao, J., Wang, H., Jin, D., Li, Y.: S3: social-network simulation system with large language model-empowered agents. arXiv preprint arXiv:2307.14984 (2023)","DOI":"10.2139\/ssrn.4607026"},{"issue":"4","key":"38_CR10","doi-asserted-by":"publisher","first-page":"295","DOI":"10.1007\/s10588-005-6282-2","volume":"10","author":"W Jager","year":"2005","unstructured":"Jager, W., Amblard, F.: Uniformity, bipolarization and pluriformity captured as generic stylized behavior with an agent-based simulation model of attitude change. Comput. Math. Organ. Theor. 10(4), 295\u2013303 (2005)","journal-title":"Comput. Math. Organ. Theor."},{"key":"38_CR11","doi-asserted-by":"crossref","unstructured":"Liu, Y., Liu, W., Gu, X., Rui, Y., He, X., Zhang, Y.: Lmagent: a large-scale multimodal agents society for multi-user simulation. IEEE Trans. Multimedia (2026)","DOI":"10.1109\/TMM.2026.3651078"},{"key":"38_CR12","doi-asserted-by":"crossref","unstructured":"Liu, Y., et al.: Rumorsphere: a framework for million-scale agent-based dynamic simulation of rumor propagation. arXiv preprint arXiv:2509.02172 (2025)","DOI":"10.1109\/TMM.2026.3733021"},{"key":"38_CR13","unstructured":"Liu, Y., Chen, X., Zhang, X., Gao, X., Zhang, J., Yan, R.: From skepticism to acceptance: simulating the attitude dynamics toward fake news. In: Proceedings of the Thirty-Third International Joint Conference on Artificial Intelligence, pp. 7886\u20137894 (2024)"},{"key":"38_CR14","unstructured":"Liu, Z., Zhang, Y., Li, P., Liu, Y., Yang, D.: Dynamic LLM-agent network: an LLM-agent collaboration framework with agent team optimization. arXiv preprint arXiv:2310.02170 (2023)"},{"issue":"12","key":"38_CR15","doi-asserted-by":"publisher","first-page":"1819","DOI":"10.1142\/S0129183107011789","volume":"18","author":"J Lorenz","year":"2007","unstructured":"Lorenz, J.: Continuous opinion dynamics under bounded confidence: a survey. Int. J. Mod. Phys. C 18(12), 1819\u20131838 (2007)","journal-title":"Int. J. Mod. Phys. C"},{"key":"38_CR16","doi-asserted-by":"crossref","unstructured":"Mou, X., Wei, Z., Huang, X.J.: Unveiling the truth and facilitating change: towards agent-based large-scale social movement simulation. In: Findings of the Association for Computational Linguistics: ACL 2024, pp. 4789\u20134809 (2024)","DOI":"10.18653\/v1\/2024.findings-acl.285"},{"key":"38_CR17","doi-asserted-by":"crossref","unstructured":"Park, J.S., et al.: Generative agents: Interactive simulacra of human behavior. In: Proceedings of the 36th Annual ACM Symposium on User Interface Software and Technology, pp. 1\u201322 (2023)","DOI":"10.1145\/3586183.3606763"},{"issue":"1","key":"38_CR18","doi-asserted-by":"publisher","first-page":"24","DOI":"10.1088\/0950-7671\/15\/1\/305","volume":"15","author":"OH Schmitt","year":"1938","unstructured":"Schmitt, O.H.: A thermionic trigger. J. Sci. Instrum. 15(1), 24\u201326 (1938)","journal-title":"J. Sci. Instrum."},{"issue":"1","key":"38_CR19","doi-asserted-by":"publisher","first-page":"5233","DOI":"10.1038\/s41598-019-41695-z","volume":"9","author":"VA Traag","year":"2019","unstructured":"Traag, V.A., Waltman, L., Van Eck, N.J.: From Louvain to Leiden: guaranteeing well-connected communities. Sci. Rep. 9(1), 5233 (2019)","journal-title":"Sci. Rep."},{"key":"38_CR20","unstructured":"Wu, Q., et\u00a0al.: Autogen: Enabling next-gen LLM applications via multi-agent conversations. In: First Conference on Language Modeling (2023)"},{"key":"38_CR21","doi-asserted-by":"crossref","unstructured":"Yao, J., Lai, Y., Kou, H., Wu, T., Liu, R.: Qe-bev: query evolution for bird\u2019s eye view object detection in varied contexts. In: Proceedings of the 32nd ACM International Conference on Multimedia, pp. 2927\u20132935 (2024)","DOI":"10.1145\/3664647.3680807"},{"key":"38_CR22","doi-asserted-by":"crossref","unstructured":"Yao, J., Li, C., Xiao, C.: Swift sampler: Efficient learning of sampler by 10 parameters. arXiv preprint arXiv:2410.05578 (2024)","DOI":"10.52202\/079017-1883"},{"key":"38_CR23","doi-asserted-by":"crossref","unstructured":"Yao, J., Zhang, J., Pan, X., Wu, T., Xiao, C.: Depthssc: monocular 3D semantic scene completion via depth-spatial alignment and voxel adaptation. In: 2025 IEEE\/CVF Winter Conference on Applications of Computer Vision (WACV), pp. 2154\u20132163. IEEE (2025)","DOI":"10.1109\/WACV61041.2025.00216"}],"container-title":["Lecture Notes in Computer Science","Artificial Neural Networks and Machine Learning \u2013 ICANN 2026"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/978-3-032-38410-2_38","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2026,9,16]],"date-time":"2026-09-16T06:08:21Z","timestamp":1789538901000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/978-3-032-38410-2_38"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2026,9,17]]},"ISBN":["9783032384096","9783032384102"],"references-count":23,"URL":"https:\/\/doi.org\/10.1007\/978-3-032-38410-2_38","relation":{},"ISSN":["0302-9743","1611-3349"],"issn-type":[{"value":"0302-9743","type":"print"},{"value":"1611-3349","type":"electronic"}],"subject":[],"published":{"date-parts":[[2026,9,17]]},"assertion":[{"value":"17 September 2026","order":1,"name":"first_online","label":"First Online","group":{"name":"ChapterHistory","label":"Chapter History"}},{"value":"ICANN","order":1,"name":"conference_acronym","label":"Conference Acronym","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"International Conference on Artificial Neural Networks","order":2,"name":"conference_name","label":"Conference Name","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Padua","order":3,"name":"conference_city","label":"Conference City","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Italy","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":"14 September 2026","order":7,"name":"conference_start_date","label":"Conference Start Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"17 September 2026","order":8,"name":"conference_end_date","label":"Conference End Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"35","order":9,"name":"conference_number","label":"Conference Number","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"icann2026","order":10,"name":"conference_id","label":"Conference ID","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"https:\/\/e-nns.org\/icann2026\/","order":11,"name":"conference_url","label":"Conference URL","group":{"name":"ConferenceInfo","label":"Conference Information"}}]}}