{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,8,24]],"date-time":"2025-08-24T01:48:33Z","timestamp":1756000113098,"version":"3.41.2"},"reference-count":30,"publisher":"World Scientific Pub Co Pte Ltd","issue":"05","funder":[{"name":"The National Natural Science Foundation of Peoples Republic of China","award":["U1703262"],"award-info":[{"award-number":["U1703262"]}]},{"name":"The National Natural Science Foundation of Peoples Republic of China","award":["62163035"],"award-info":[{"award-number":["62163035"]}]},{"name":"Tianshan Innovation Team Program","award":["2020D14017"],"award-info":[{"award-number":["2020D14017"]}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Int. J. Wavelets Multiresolut Inf. Process."],"published-print":{"date-parts":[[2024,9]]},"abstract":"<jats:p> Noting that the gap between individual communication abilities is amplified in the network era, we classify spreaders into super-spreaders and ordinary spreaders by the Pareto principle. In addition, when facing negative information, individuals with higher knowledge levels will recognize it. Based on these, in this study, an improved Ignorants-Hesitant-Super-spreaders-Ordinary spreaders-Wise-Removers (IEASWR) information propagation model was developed. Meanwhile, in view of the gradual saturation, density dependence and nonlinear relationship of the propagation process, the Holling-type II functional response function is introduced to information propagation modeling for the first time making it more realistic. First, the basic reproduction number [Formula: see text] is deduced. Then, the global asymptotic stability of the information-free\/prevailing equilibria is proved by constructing the Lyapunov function. Furthermore, using the Pontryagin maximum principle, a real-time optimization guidance measure is proposed to achieve the correct guidance of negative information within the expected time. Finally, the validity of the theory is verified through numerical simulation. <\/jats:p>","DOI":"10.1142\/s0219691324500188","type":"journal-article","created":{"date-parts":[[2024,4,19]],"date-time":"2024-04-19T06:38:50Z","timestamp":1713508730000},"source":"Crossref","is-referenced-by-count":1,"title":["Dynamic analysis of the IEASWR information propagation model with Holling-type II functional response"],"prefix":"10.1142","volume":"22","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-1219-5680","authenticated-orcid":false,"given":"Xuehui","family":"Mei","sequence":"first","affiliation":[{"name":"College of Mathematics and System Sciences, Xinjiang University, Urumqi 830017, P. R. China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-3743-9776","authenticated-orcid":false,"given":"Jingjing","family":"Ren","sequence":"additional","affiliation":[{"name":"College of Mathematics and System Sciences, Xinjiang University, Urumqi 830017, P. R. China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0009-0008-6044-8380","authenticated-orcid":false,"given":"Yang","family":"Xia","sequence":"additional","affiliation":[{"name":"College of Mathematics and System Sciences, Xinjiang University, Urumqi 830017, P. R. China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-0310-6842","authenticated-orcid":false,"given":"Haijun","family":"Jiang","sequence":"additional","affiliation":[{"name":"College of Mathematics and System Sciences, Xinjiang University, Urumqi 830017, P. R. 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