{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,3,31]],"date-time":"2026-03-31T05:28:37Z","timestamp":1774934917691,"version":"3.50.1"},"reference-count":62,"publisher":"MDPI AG","issue":"1","license":[{"start":{"date-parts":[[2025,1,3]],"date-time":"2025-01-03T00:00:00Z","timestamp":1735862400000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Systems"],"abstract":"<jats:p>This paper introduces an LLM-Enhanced Agent-Based Influence Diffusion Simulation (LLM-AIDSim) framework that integrates large language models (LLMs) into agent-based modelling to simulate influence diffusion in social networks. The proposed framework enhances traditional influence diffusion models by allowing agents to generate language-level responses, providing deeper insights into user agent interactions. Our framework addresses the limitations of probabilistic models by simulating realistic, context-aware user behaviours in response to public statements. Using real-world news topics, we demonstrate the effectiveness of LLM-AIDSim in simulating topic evolution and tracking user discourse, validating its ability to replicate key aspects of real-world information propagation. Our experimental results highlight the role of influence diffusion in shaping collective discussions, revealing that, over time, diffusion narrows the focus of conversations around a few dominant topics. We further analyse regional differences in topic clustering and diffusion behaviours across three cities, Sydney, Auckland, and Hobart, revealing how demographics, income, and education levels influence topic dominance. This work underscores the potential of LLM-AIDSim as a decision-support tool for strategic communication, enabling organizations to anticipate and understand public sentiment trends.<\/jats:p>","DOI":"10.3390\/systems13010029","type":"journal-article","created":{"date-parts":[[2025,1,3]],"date-time":"2025-01-03T05:02:02Z","timestamp":1735880522000},"page":"29","update-policy":"https:\/\/doi.org\/10.3390\/mdpi_crossmark_policy","source":"Crossref","is-referenced-by-count":7,"title":["LLM-AIDSim: LLM-Enhanced Agent-Based Influence Diffusion Simulation in Social Networks"],"prefix":"10.3390","volume":"13","author":[{"ORCID":"https:\/\/orcid.org\/0009-0005-9550-4109","authenticated-orcid":false,"given":"Lan","family":"Zhang","sequence":"first","affiliation":[{"name":"School of Engineering, Computer & Mathematical Sciences, Auckland University of Technology, Auckland 1010, New Zealand"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-7393-9153","authenticated-orcid":false,"given":"Yuxuan","family":"Hu","sequence":"additional","affiliation":[{"name":"School of Information and Communication Technology, University of Tasmania, Hobart, TAS 7001, Australia"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-9215-4979","authenticated-orcid":false,"given":"Weihua","family":"Li","sequence":"additional","affiliation":[{"name":"School of Engineering, Computer & Mathematical Sciences, Auckland University of Technology, Auckland 1010, New Zealand"}]},{"given":"Quan","family":"Bai","sequence":"additional","affiliation":[{"name":"School of Information and Communication Technology, University of Tasmania, Hobart, TAS 7001, Australia"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-6853-017X","authenticated-orcid":false,"given":"Parma","family":"Nand","sequence":"additional","affiliation":[{"name":"School of Engineering, Computer & Mathematical Sciences, Auckland University of Technology, Auckland 1010, New Zealand"}]}],"member":"1968","published-online":{"date-parts":[[2025,1,3]]},"reference":[{"key":"ref_1","doi-asserted-by":"crossref","first-page":"1","DOI":"10.1186\/s40649-019-0076-z","article-title":"A model of opinion and propagation structure polarization in social media","volume":"7","author":"Prasetya","year":"2020","journal-title":"Comput. Soc. Netw."},{"key":"ref_2","doi-asserted-by":"crossref","first-page":"110062","DOI":"10.1016\/j.asoc.2023.110062","article-title":"ABEM: An adaptive agent-based evolutionary approach for influence maximization in dynamic social networks","volume":"136","author":"Li","year":"2023","journal-title":"Appl. Soft Comput."},{"key":"ref_3","doi-asserted-by":"crossref","unstructured":"Hu, Y., Wu, S., Jiang, C., Li, W., Bai, Q., and Roehrer, E. (2022, January 23\u201329). AI Facilitated Isolations? The Impact of Recommendation-based Influence Diffusion in Human Society. Proceedings of the IJCAI, Vienna, Austria.","DOI":"10.24963\/ijcai.2022\/705"},{"key":"ref_4","doi-asserted-by":"crossref","first-page":"98","DOI":"10.1109\/CC.2018.8424607","article-title":"The research on social networks public opinion propagation influence models and its controllability","volume":"15","author":"Zhang","year":"2018","journal-title":"China Commun."},{"key":"ref_5","doi-asserted-by":"crossref","first-page":"703","DOI":"10.1080\/13527266.2018.1559218","article-title":"BP and the Deepwater Horizon oil spill: A case study of how company management employed public relations to restore a damaged brand","volume":"26","author":"Kanso","year":"2020","journal-title":"J. Mark. Commun."},{"key":"ref_6","doi-asserted-by":"crossref","first-page":"264","DOI":"10.1177\/1059712308090536","article-title":"Extremism propagation in social networks with hubs","volume":"16","author":"Franks","year":"2008","journal-title":"Adapt. Behav."},{"key":"ref_7","doi-asserted-by":"crossref","unstructured":"Kempe, D., Kleinberg, J., and Tardos, \u00c9. (2003, January 24\u201327). Maximizing the spread of influence through a social network. Proceedings of the Ninth ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, Washington, DC, USA.","DOI":"10.1145\/956750.956769"},{"key":"ref_8","doi-asserted-by":"crossref","unstructured":"Li, Y., Chen, W., Wang, Y., and Zhang, Z.L. (2013, January 4\u20138). Influence diffusion dynamics and influence maximization in social networks with friend and foe relationships. Proceedings of the Sixth ACM International Conference on Web Search and Data Mining, Rome, Italy.","DOI":"10.1145\/2433396.2433478"},{"key":"ref_9","doi-asserted-by":"crossref","first-page":"419","DOI":"10.1109\/TETC.2023.3292384","article-title":"Maximizing Social Influence With Minimum Information Alteration","volume":"12","author":"Wang","year":"2023","journal-title":"IEEE Trans. Emerg. Top. Comput."},{"key":"ref_10","unstructured":"Kong, F., Xie, J., Wang, B., Yao, T., and Li, S. (2023). Online Influence Maximization under Decreasing Cascade Model. arXiv."},{"key":"ref_11","doi-asserted-by":"crossref","unstructured":"Zhu, W., Miao, Y., Yang, S., Lian, Z., and Cui, L. (2023). Maximizing Influence in Temporal Social Networks: A Node Feature-Aware Voting Algorithm. Comput. Mater. Contin., 77.","DOI":"10.32604\/cmc.2023.045646"},{"key":"ref_12","doi-asserted-by":"crossref","first-page":"1617","DOI":"10.1016\/j.ins.2022.06.075","article-title":"Influence maximization in social networks using graph embedding and graph neural network","volume":"607","author":"Kumar","year":"2022","journal-title":"Inf. Sci."},{"key":"ref_13","doi-asserted-by":"crossref","first-page":"1091","DOI":"10.1007\/s10115-023-01982-8","article-title":"Online influence maximization under continuous independent cascade model with node-edge-level feedback","volume":"66","author":"Liu","year":"2024","journal-title":"Knowl. Inf. Syst."},{"key":"ref_14","unstructured":"Saito, K., Nakano, R., and Kimura, M. (2008, January 3\u20135). Prediction of information diffusion probabilities for independent cascade model. Proceedings of the International Conference on Knowledge-Based and Intelligent Information and Engineering Systems, Zagreb, Croatia."},{"key":"ref_15","doi-asserted-by":"crossref","first-page":"107233","DOI":"10.1016\/j.knosys.2021.107233","article-title":"Social influence minimization based on context-aware multiple influences diffusion model","volume":"227","author":"Li","year":"2021","journal-title":"Knowl.-Based Syst."},{"key":"ref_16","unstructured":"Macal, C.M., and North, M.J. (2005, January 4\u20137). Tutorial on agent-based modeling and simulation. Proceedings of the Winter Simulation Conference, Orlando, FL, USA."},{"key":"ref_17","first-page":"172","article-title":"Agent-based modelling","volume":"155","author":"Janssen","year":"2005","journal-title":"Model. Ecol. Econ."},{"key":"ref_18","doi-asserted-by":"crossref","first-page":"271","DOI":"10.1002\/cav.238","article-title":"Agent-based human behavior modeling for crowd simulation","volume":"19","author":"Luo","year":"2008","journal-title":"Comput. Animat. Virtual Worlds"},{"key":"ref_19","doi-asserted-by":"crossref","first-page":"30","DOI":"10.1016\/j.patrec.2013.10.024","article-title":"An agent-based crowd behaviour model for real time crowd behaviour simulation","volume":"44","author":"Kountouriotis","year":"2014","journal-title":"Pattern Recognit. Lett."},{"key":"ref_20","doi-asserted-by":"crossref","first-page":"cnae028","DOI":"10.1093\/comnet\/cnae028","article-title":"Agent-based modelling of polarized news and opinion dynamics in social networks: A guidance-oriented approach","volume":"12","author":"Liu","year":"2024","journal-title":"J. Complex Netw."},{"key":"ref_21","doi-asserted-by":"crossref","first-page":"2","DOI":"10.18564\/jasss.3521","article-title":"Models of social influence: Towards the next frontiers","volume":"20","author":"Flache","year":"2017","journal-title":"JASSS\u2014J. Artif. Soc. Soc. Simul."},{"key":"ref_22","doi-asserted-by":"crossref","first-page":"203","DOI":"10.1177\/0022002797041002001","article-title":"The dissemination of culture: A model with local convergence and global polarization","volume":"41","author":"Axelrod","year":"1997","journal-title":"J. Confl. Resolut."},{"key":"ref_23","doi-asserted-by":"crossref","first-page":"1","DOI":"10.1016\/j.inffus.2019.09.006","article-title":"Opinion dynamics model based on the cognitive dissonance: An agent-based simulation","volume":"56","author":"Li","year":"2020","journal-title":"Inf. Fusion"},{"key":"#cr-split#-ref_24.1","unstructured":"Madey, G., Gao, Y., Freeh, V., Tynan, R., and Hoffman, C. (2024, November 11). Agent-Based Modeling and Simulation of Collaborative Social Networks. In AMCIS 2003 Proceedings"},{"key":"#cr-split#-ref_24.2","doi-asserted-by":"crossref","unstructured":"Article 237, 2003. Available online: https:\/\/aisel.aisnet.org\/amcis2003\/237.","DOI":"10.1007\/s00112-002-0662-1"},{"key":"ref_25","doi-asserted-by":"crossref","first-page":"1","DOI":"10.1186\/1742-5573-9-1","article-title":"Social network analysis and agent-based modeling in social epidemiology","volume":"9","author":"Scarborough","year":"2012","journal-title":"Epidemiol. Perspect. Innov."},{"key":"ref_26","first-page":"1","article-title":"Agent-based social simulation: Dealing with complexity","volume":"9","author":"Gilbert","year":"2004","journal-title":"Complex Syst. Netw. Excell."},{"key":"ref_27","doi-asserted-by":"crossref","first-page":"103","DOI":"10.1016\/j.physa.2005.02.072","article-title":"Why are economists sceptical about agent-based simulations?","volume":"355","author":"Leombruni","year":"2005","journal-title":"Phys. A Stat. Mech. Its Appl."},{"key":"ref_28","unstructured":"Deguchi, H. (2011). Economics as an Agent-Based Complex System: Toward Agent-Based Social Systems Sciences, Springer Science & Business Media."},{"key":"ref_29","doi-asserted-by":"crossref","unstructured":"Rouchier, J. (2017). Agent-based simulation as a useful tool for the study of markets. Simulating Social Complexity: A Handbook, Springer.","DOI":"10.1007\/978-3-319-66948-9_25"},{"key":"ref_30","doi-asserted-by":"crossref","first-page":"012022","DOI":"10.1088\/1742-6596\/1039\/1\/012022","article-title":"Agent-based models in financial market studies","volume":"1039","author":"Wang","year":"2018","journal-title":"J. Phys. Conf. Ser."},{"key":"ref_31","unstructured":"Mueller, M., and Pyka, A. (2016). Economic behaviour and agent-based modelling. Routledge Handbook of Behavioral Economics, Routledge."},{"key":"ref_32","doi-asserted-by":"crossref","first-page":"1880","DOI":"10.1016\/j.procs.2011.04.204","article-title":"Optimization of healthcare emergency departments by agent-based simulation","volume":"4","author":"Cabrera","year":"2011","journal-title":"Procedia Comput. Sci."},{"key":"ref_33","doi-asserted-by":"crossref","unstructured":"Barnes, S., Golden, B., and Price, S. (2013). Applications of agent-based modeling and simulation to healthcare operations management. Handbook of Healthcare Operations Management: Methods and Applications, Springer.","DOI":"10.1007\/978-1-4614-5885-2_3"},{"key":"ref_34","doi-asserted-by":"crossref","first-page":"1","DOI":"10.1186\/1476-072X-8-50","article-title":"An agent-based approach for modeling dynamics of contagious disease spread","volume":"8","author":"Perez","year":"2009","journal-title":"Int. J. Health Geogr."},{"key":"ref_35","doi-asserted-by":"crossref","first-page":"61","DOI":"10.1016\/j.artmed.2014.08.006","article-title":"A systems approach to healthcare: Agent-based modeling, community mental health, and population well-being","volume":"63","author":"Silverman","year":"2015","journal-title":"Artif. Intell. Med."},{"key":"ref_36","doi-asserted-by":"crossref","first-page":"211","DOI":"10.1016\/j.ssmph.2017.01.006","article-title":"Comparing methods of targeting obesity interventions in populations: An agent-based simulation","volume":"3","author":"Beheshti","year":"2017","journal-title":"SSM-Popul. Health"},{"key":"ref_37","doi-asserted-by":"crossref","unstructured":"Elsenbroich, C., and Verhagen, H. (2023, January 4\u20138). Agent-Based Modelling and Public Health: An Introduction to the Proceedings of the 2023 Social Simulation Conference. Proceedings of the Conference of the European Social Simulation Association, Glasgow, UK.","DOI":"10.1007\/978-3-031-57785-7_1"},{"key":"ref_38","doi-asserted-by":"crossref","first-page":"1569","DOI":"10.1126\/science.298.5598.1569","article-title":"The faculty of language: What is it, who has it, and how did it evolve?","volume":"298","author":"Hauser","year":"2002","journal-title":"Science"},{"key":"ref_39","doi-asserted-by":"crossref","first-page":"1","DOI":"10.1057\/s41599-024-03611-3","article-title":"Large language models empowered agent-based modeling and simulation: A survey and perspectives","volume":"11","author":"Gao","year":"2024","journal-title":"Humanit. Soc. Sci. Commun."},{"key":"ref_40","unstructured":"(2024, December 15). FTeam, 2022; Yoheinakajima. Babyagi. Available online: https:\/\/github.com\/yoheinakajima\/babyagi."},{"key":"ref_41","first-page":"68539","article-title":"Toolformer: Language models can teach themselves to use tools","volume":"36","author":"Schick","year":"2024","journal-title":"Adv. Neural Inf. Process. Syst."},{"key":"ref_42","unstructured":"Chen, Z., Tang, J., Chen, X., and Lin, Y. (2023). A survey on large language model based autonomous agents. arXiv."},{"key":"ref_43","unstructured":"Xi, Z., Chen, W., Guo, X., He, W., Ding, Y., Hong, B., Zhang, M., Wang, J., Jin, S., and Zhou, E. (2023). The rise and potential of large language model based agents: A survey. arXiv."},{"key":"ref_44","unstructured":"Park, J., Min, B., Ma, X., and Kim, J. (2023). Choicemates: Supporting unfamiliar online decision-making with multi-agent conversational interactions. arXiv."},{"key":"ref_45","first-page":"172","article-title":"Simulation of an agent based system behavior in a dynamic and unpredicted environment","volume":"1","author":"Cipi","year":"2011","journal-title":"Simulation"},{"key":"ref_46","doi-asserted-by":"crossref","unstructured":"Fu, D., Li, X., Wen, L., Dou, M., Cai, P., Shi, B., and Qiao, Y. (2024, January 3\u20138). Drive like a human: Rethinking autonomous driving with large language models. Proceedings of the IEEE\/CVF Winter Conference on Applications of Computer Vision, Waikoloa, HI, USA.","DOI":"10.1109\/WACVW60836.2024.00102"},{"key":"ref_47","doi-asserted-by":"crossref","unstructured":"Gao, C., Lan, X., Lu, Z., Mao, J., Piao, J., Wang, H., Jin, D., and Li, Y. (2023). S3: Social-network Simulation System with Large Language Model-Empowered Agents. arXiv.","DOI":"10.2139\/ssrn.4607026"},{"key":"ref_48","unstructured":"Qian, C., Cong, X., Yang, C., Chen, W., Su, Y., Xu, J., Liu, Z., and Sun, M. (2023). Communicative agents for software development. arXiv."},{"key":"ref_49","unstructured":"Wang, L., Zhang, J., Chen, X., Lin, Y., Song, R., Zhao, W.X., and Wen, J.R. (2023). RecAgent: A Novel Simulation Paradigm for Recommender Systems. arXiv."},{"key":"ref_50","doi-asserted-by":"crossref","unstructured":"Li, N., Gao, C., Li, M., Li, Y., and Liao, Q. (2024, January 11\u201316). Econagent: Large language model-empowered agents for simulating macroeconomic activities. Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics, Bangkok, Thailand.","DOI":"10.18653\/v1\/2024.acl-long.829"},{"key":"ref_51","unstructured":"Gur, I., Furuta, H., Huang, A., Safdari, M., Matsuo, Y., Eck, D., and Faust, A. (2023). A real-world webagent with planning, long context understanding, and program synthesis. arXiv."},{"key":"ref_52","unstructured":"Xu, F., Zhang, J., Gao, C., Feng, J., and Li, Y. (2023). Urban generative intelligence (ugi): A foundational platform for agents in embodied city environment. arXiv."},{"key":"ref_53","unstructured":"Park, J.S., O\u2019Brien, J., Cai, C.J., Morris, M.R., Liang, P., and Bernstein, M.S. (November, January 29). Generative agents: Interactive simulacra of human behavior. Proceedings of the 36th Annual ACM Symposium on User Interface Software and Technology, Francisco, CA, USA."},{"key":"ref_54","unstructured":"Hua, W., Fan, L., Li, L., Mei, K., Ji, J., Ge, Y., Hemphill, L., and Zhang, Y. (2023). War and peace (waragent): Large language model-based multi-agent simulation of world wars. arXiv."},{"key":"ref_55","doi-asserted-by":"crossref","unstructured":"Hu, Y., Sherpa, G., Zhang, L., Li, W., Bai, Q., Wang, Y., and Wang, X. (2024, January 3\u20139). An LLM-enhanced Agent-based Simulation Tool for Information Propagation. Proceedings of the Thirty-Third International Joint Conference on Artificial Intelligence, IJCAI-24, Jeju, Republic of Korea.","DOI":"10.24963\/ijcai.2024\/1007"},{"key":"ref_56","unstructured":"Devlin, J. (2018). Bert: Pre-training of deep bidirectional transformers for language understanding. arXiv."},{"key":"ref_57","doi-asserted-by":"crossref","first-page":"026107","DOI":"10.1103\/PhysRevE.65.026107","article-title":"Growing scale-free networks with tunable clustering","volume":"65","author":"Holme","year":"2002","journal-title":"Phys. Rev. E"},{"key":"ref_58","doi-asserted-by":"crossref","unstructured":"Muchnik, L., Pei, S., Parra, L.C., Reis, S.D., Andrade, J.S., Havlin, S., and Makse, H.A. (2013). Origins of power-law degree distribution in the heterogeneity of human activity in social networks. Sci. Rep., 3.","DOI":"10.1038\/srep01783"},{"key":"ref_59","unstructured":"Macqueen, J. (July, January 21). Some methods for classification and analysis of multivariate observations. Proceedings of the Fifth Berkeley Symposium on Mathematical Statistics and Probability, Oakland, CA, USA."},{"key":"ref_60","first-page":"1","article-title":"Snap: A general-purpose network analysis and graph-mining library","volume":"8","author":"Leskovec","year":"2016","journal-title":"ACM Trans. Intell. Syst. Technol. (TIST)"},{"key":"ref_61","doi-asserted-by":"crossref","unstructured":"Dickel, S., and Neumann, M. (2024). Hermeneutics of social simulations*: On the interpretation of digitally generated narratives. An Interpretive Account to Agent-Based Social Simulation, Routledge.","DOI":"10.4324\/9781003393207-7"}],"container-title":["Systems"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/www.mdpi.com\/2079-8954\/13\/1\/29\/pdf","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,10,8]],"date-time":"2025-10-08T10:22:11Z","timestamp":1759918931000},"score":1,"resource":{"primary":{"URL":"https:\/\/www.mdpi.com\/2079-8954\/13\/1\/29"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2025,1,3]]},"references-count":62,"journal-issue":{"issue":"1","published-online":{"date-parts":[[2025,1]]}},"alternative-id":["systems13010029"],"URL":"https:\/\/doi.org\/10.3390\/systems13010029","relation":{},"ISSN":["2079-8954"],"issn-type":[{"value":"2079-8954","type":"electronic"}],"subject":[],"published":{"date-parts":[[2025,1,3]]}}}