{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,10,18]],"date-time":"2025-10-18T10:50:38Z","timestamp":1760784638521,"version":"3.41.2"},"reference-count":46,"publisher":"Wiley","issue":"1","license":[{"start":{"date-parts":[[2019,4,10]],"date-time":"2019-04-10T00:00:00Z","timestamp":1554854400000},"content-version":"vor","delay-in-days":99,"URL":"http:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"funder":[{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["71871115","71501094","71501131"],"award-info":[{"award-number":["71871115","71501094","71501131"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100004608","name":"Natural Science Foundation of Jiangsu Province","doi-asserted-by":"publisher","award":["BK20150961"],"award-info":[{"award-number":["BK20150961"]}],"id":[{"id":"10.13039\/501100004608","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":["onlinelibrary.wiley.com"],"crossmark-restriction":true},"short-container-title":["Complexity"],"published-print":{"date-parts":[[2019,1]]},"abstract":"<jats:p>Investor heterogeneities include investor risk preference, investor risk cognitive level, information value, and investor influence. From the perspective of the stock price linkage, this article constructs an SCIR contagion model of investor risk on a single\u2010layer network. It digs out the investor risk caused by rumors in the stock market under the stock price linkage and its contagion mechanism. The function and influence of different mechanism probabilities and investor heterogeneities on the effects of risk contagion in the stock market are explored through computer simulation. Based on the SCIR contagion model of investor risk on single\u2010layer network, we construct an SCI<jats:sub>1<\/jats:sub>I<jats:sub>2<\/jats:sub>R contagion model of investor risk on bilayer\u2010coupled networks. Initially, the evolution mechanisms of investor risk contagion in the stock market are compared in single\u2010layer and bilayer\u2010coupled networks. Thereafter, the evolution characteristics and rules of investor risk contagion under different connection modes and heterogeneous mechanism probabilities are compared on bilayer\u2010coupled networks. The results corroborate the following. (1) In the SCIR contagion model of investor risk on a single\u2010layer network, immune failure probability and immune probability have the \u201cglobal effect\u201d. (2) Investor heterogeneities both have \u201cglobal effect\u201d and \u201clocal effect\u201d on investor risk contagion. (3) Compared with the investor risk contagion on a single\u2010layer network, bilayer\u2010coupled networks can expand the investor risk contagion and have a \u201cglobal enhancement\u201d effect. (4) Among the three interlayer connection modes of the SCI<jats:sub>1<\/jats:sub>I<jats:sub>2<\/jats:sub>R model of investor risk contagion on bilayer\u2010coupled networks, the assortative link has the effect of \u201clocal enhancement\u201d, while the disassortative link has the effect of \u201clocal inhibition\u201d. (5) In the SCI<jats:sub>1<\/jats:sub>I<jats:sub>2<\/jats:sub>R model of investor risk contagion on bilayer\u2010coupled networks, heterogeneous mechanism probabilities have \u201cglobal effect\u201d and \u201clocal effect\u201d. The research conclusion provides a theoretical basis for regulators to prevent financial risks from spreading among different investors, which is of high theoretical value and practical significance.<\/jats:p>","DOI":"10.1155\/2019\/4727868","type":"journal-article","created":{"date-parts":[[2019,4,11]],"date-time":"2019-04-11T00:04:57Z","timestamp":1554941097000},"update-policy":"https:\/\/doi.org\/10.1002\/crossmark_policy","source":"Crossref","is-referenced-by-count":6,"title":["Price Linkage Rumors in the Stock Market and Investor Risk Contagion on Bilayer\u2010Coupled Networks"],"prefix":"10.1155","volume":"2019","author":[{"given":"Yue","family":"Dong","sequence":"first","affiliation":[]},{"given":"Jiepeng","family":"Wang","sequence":"additional","affiliation":[]},{"ORCID":"https:\/\/orcid.org\/0000-0002-3013-243X","authenticated-orcid":false,"given":"Tingqiang","family":"Chen","sequence":"additional","affiliation":[]}],"member":"311","published-online":{"date-parts":[[2019,4,10]]},"reference":[{"key":"e_1_2_10_1_2","doi-asserted-by":"publisher","DOI":"10.1111\/0022-1082.00338"},{"key":"e_1_2_10_2_2","doi-asserted-by":"publisher","DOI":"10.1093\/rfs\/hhl019"},{"key":"e_1_2_10_3_2","doi-asserted-by":"publisher","DOI":"10.1037\/11503-000"},{"key":"e_1_2_10_4_2","doi-asserted-by":"publisher","DOI":"10.1111\/j.1540-6288.2011.00318.x"},{"key":"e_1_2_10_5_2","doi-asserted-by":"publisher","DOI":"10.1111\/0022-1082.00188"},{"key":"e_1_2_10_6_2","doi-asserted-by":"publisher","DOI":"10.1016\/j.jbankfin.2009.04.018"},{"key":"e_1_2_10_7_2","doi-asserted-by":"publisher","DOI":"10.1016\/j.jebo.2014.04.001"},{"volume-title":"Rumors in Financial Markets","year":"2007","author":"Schindler M.","key":"e_1_2_10_8_2"},{"key":"e_1_2_10_9_2","doi-asserted-by":"publisher","DOI":"10.1142\/s0219024901001218"},{"key":"e_1_2_10_10_2","doi-asserted-by":"publisher","DOI":"10.1086\/296508"},{"key":"e_1_2_10_11_2","doi-asserted-by":"publisher","DOI":"10.1007\/s11156-011-0262-z"},{"key":"e_1_2_10_12_2","doi-asserted-by":"publisher","DOI":"10.1080\/09603100010005852"},{"key":"e_1_2_10_13_2","doi-asserted-by":"publisher","DOI":"10.1111\/j.1467-629X.2006.00160.x"},{"key":"e_1_2_10_14_2","doi-asserted-by":"publisher","DOI":"10.1016\/j.jmateco.2004.05.001"},{"key":"e_1_2_10_15_2","doi-asserted-by":"publisher","DOI":"10.1016\/j.jfineco.2016.05.012"},{"key":"e_1_2_10_16_2","doi-asserted-by":"publisher","DOI":"10.1093\/imamat\/1.1.42"},{"volume-title":"Mathematical Models and Applications","year":"1973","author":"Maki D.","key":"e_1_2_10_17_2"},{"key":"e_1_2_10_18_2","doi-asserted-by":"publisher","DOI":"10.1016\/j.physa.2006.07.017"},{"key":"e_1_2_10_19_2","doi-asserted-by":"publisher","DOI":"10.1016\/j.physleta.2012.05.021"},{"key":"e_1_2_10_20_2","doi-asserted-by":"publisher","DOI":"10.1016\/j.physa.2011.12.008"},{"key":"e_1_2_10_21_2","doi-asserted-by":"publisher","DOI":"10.1016\/j.physa.2014.03.021"},{"key":"e_1_2_10_22_2","doi-asserted-by":"publisher","DOI":"10.1016\/j.physa.2017.09.063"},{"key":"e_1_2_10_23_2","doi-asserted-by":"publisher","DOI":"10.1038\/nature08932"},{"key":"e_1_2_10_24_2","doi-asserted-by":"publisher","DOI":"10.1016\/j.physa.2018.10.059"},{"key":"e_1_2_10_25_2","doi-asserted-by":"publisher","DOI":"10.1038\/nphys2180"},{"key":"e_1_2_10_26_2","doi-asserted-by":"publisher","DOI":"10.1103\/PhysRevE.88.050801"},{"key":"e_1_2_10_27_2","doi-asserted-by":"publisher","DOI":"10.1103\/PhysRevLett.111.128701"},{"key":"e_1_2_10_28_2","doi-asserted-by":"publisher","DOI":"10.1103\/PhysRevLett.110.028701"},{"key":"e_1_2_10_29_2","doi-asserted-by":"publisher","DOI":"10.1016\/j.physrep.2014.07.001"},{"key":"e_1_2_10_30_2","doi-asserted-by":"publisher","DOI":"10.1093\/comnet\/cnu016"},{"key":"e_1_2_10_31_2","doi-asserted-by":"publisher","DOI":"10.1103\/PhysRevLett.114.038701"},{"key":"e_1_2_10_32_2","doi-asserted-by":"publisher","DOI":"10.1103\/PhysRevLett.116.108701"},{"key":"e_1_2_10_33_2","doi-asserted-by":"publisher","DOI":"10.1155\/2017\/5724925"},{"key":"e_1_2_10_34_2","doi-asserted-by":"publisher","DOI":"10.1016\/j.physa.2019.01.018"},{"key":"e_1_2_10_35_2","doi-asserted-by":"publisher","DOI":"10.1111\/j.1540-6261.1977.tb03317.x"},{"key":"e_1_2_10_36_2","doi-asserted-by":"publisher","DOI":"10.1111\/0022-1082.00260"},{"key":"e_1_2_10_37_2","doi-asserted-by":"publisher","DOI":"10.1155\/2018\/1843792"},{"key":"e_1_2_10_38_2","doi-asserted-by":"publisher","DOI":"10.2307\/1914185"},{"key":"e_1_2_10_39_2","doi-asserted-by":"publisher","DOI":"10.1016\/j.finmar.2003.11.005"},{"key":"e_1_2_10_40_2","doi-asserted-by":"publisher","DOI":"10.1080\/1351847X.2017.1414069"},{"key":"e_1_2_10_41_2","first-page":"1","article-title":"Research on information dissemination model for social networking services","volume":"2","author":"Xu R. 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