20.500.12556/DKUM-93399 Adaptive rumor propagation and activity contagion in higher-order networks Rumors in social systems are omnipresent. While traditional models focus on pairwise interactions, the collective effects of group interactions are insufficiently explored. Here we present a rumor propagation model on higher-order networks that incorporates 2-simplex structures and adaptive transitions between active and passive individuals. We find that higher-order networks substantially lower the propagation threshold and intensify nonlinear spreading effects. Active individuals are key drivers of rumor propagation and persistence. With active contagion, we observe that higher-order propagation increases peak and steady-state densities of active spreaders, thus extending the propagation and lifespan of rumors. We also apply a sequential quadratic programming algorithm to optimize the parameters of our model and validate its accuracy and applicability on real-world data. These results advance our understanding of contagion in higher-order social networks and support the design of targeted strategies for rumor mitigation. rumor propagation activity contagion higher-order networks social physics širjenje govoric okužba aktivnosti omrežja višjega reda fizika družbe true false true Nature Portfolio Angleški jezik Slovenski jezik Znanstveno delo 2025-06-24 08:41:41 2025-06-24 08:45:58 2025-07-24 13:16:12 0000-00-00 00:00:00 2025 0 0 14 str. št. članka 261 Letn. 8 2025 0000-00-00 Zaloznikova Objavljeno NiDoloceno 2025-05-04 2025-06-09 2025-06-20 53 240289027 10.1038/s42005-025-02181-3 2399-3650 RAZ_Dong_Yafang_2025.pdf RAZ_Dong_Yafang_2025.pdf 1 90D300A97BAAB60C6222F3EE2BEBED2E 9180920b4fb4e34c09fc8c0c00664f7cf0835d363efefe3eca6a396e97b4cbfd be43f4a3-50c6-11f0-ab14-00155d000105 https://dk.um.si/Dokument.php?lang=slv&id=192651 https://doi.org/10.1038/s42005-025-02181-3 0 cf54b2c7-50c6-11f0-ab14-00155d000105 https://dk.um.si/Dokument.php?lang=slv&id=192652 Fakulteta za naravoslovje in matematiko 0 0 0