Multi-Information Hybrid Network Spreading Model Based on Competition Consciousness
In fact, information is not transmitted in a single message, but rather multiple messages are transmitted simultaneously and interact with each other as they are transmitted. Based on this phenomenon, a multi-information overlay network model that differs from the traditional network structure is fi...
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Veröffentlicht in: | IEEE access 2021, Vol.9, p.31504-31512 |
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description | In fact, information is not transmitted in a single message, but rather multiple messages are transmitted simultaneously and interact with each other as they are transmitted. Based on this phenomenon, a multi-information overlay network model that differs from the traditional network structure is first constructed on the basis of two classical network models, BA scale-free and WS Small World. When multiple messages are transmitted simultaneously, the competitive nature of the message affects the transmission process to some extent, and therefore a sense of competition for the message is introduced into the classical SIS model of infectious disease. Simulation experiments have shown that a sense of competition enhances or inhibits the spread of information to varying degrees, and that information with a high sense of competition has a greater scale of spread, in line with the real-life "Matthew effect". In addition, the sense of competition also accelerates the spread of information. Therefore, it is possible to inhibit the spread of negative information by controlling the sense of competition, so as to achieve timely warning and control of negative information. |
doi_str_mv | 10.1109/ACCESS.2021.3057636 |
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Therefore, it is possible to inhibit the spread of negative information by controlling the sense of competition, so as to achieve timely warning and control of negative information.</description><subject>Blogs</subject><subject>competition awareness</subject><subject>Complex networks</subject><subject>Epidemics</subject><subject>hybrid networks</subject><subject>Infectious diseases</subject><subject>information dissemination</subject><subject>Overlay networks</subject><subject>Social networking (online)</subject><issn>2169-3536</issn><issn>2169-3536</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2021</creationdate><recordtype>article</recordtype><sourceid>ESBDL</sourceid><sourceid>RIE</sourceid><sourceid>DOA</sourceid><recordid>eNpNkMtuwjAQRa2qlYooX8AmPxDqZ7CXNKIFibaLtGvLryDTECM7qOLvGwhCnVnMaDT3LA4AUwRnCEHxvCjLZVXNMMRoRiCbF6S4AyOMCpETRor7f_sjmKS0g33x_sTmI1C9H5vO5-u2DnGvOh_abHXS0dvsw3W_If5k1SE6ZX27zd6DdU32opKzWf9Xhv3Bdf6SKUObjA_H1LqUnsBDrZrkJtc5Bt-vy69ylW8-39blYpMbQmCXM6pdwbShsLbYKFIbAS1kjsPa1AJrYSDENbRcCK4gMshhxaxitGAIYe3IGKwHrg1qJw_R71U8yaC8vBxC3EoVO28aJznpsZZiRCmnRmmuOUGsb20Rowr1LDKwTAwpRVffeAjKs2Y5aJZnzfKquU9Nh5R3zt0SglBBBSF_lWF5cQ</recordid><startdate>2021</startdate><enddate>2021</enddate><creator>Wang, Yaxi</creator><creator>Wang, Xuyang</creator><creator>Yue, Nianxi</creator><general>IEEE</general><scope>97E</scope><scope>ESBDL</scope><scope>RIA</scope><scope>RIE</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>DOA</scope><orcidid>https://orcid.org/0000-0002-7478-785X</orcidid><orcidid>https://orcid.org/0000-0002-2293-7553</orcidid></search><sort><creationdate>2021</creationdate><title>Multi-Information Hybrid Network Spreading Model Based on Competition Consciousness</title><author>Wang, Yaxi ; Wang, Xuyang ; Yue, Nianxi</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c330t-54be65bc40fd2ca3fc90d05e80fcf92b9c002f0d8998a01c1e2a5da5465112be3</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2021</creationdate><topic>Blogs</topic><topic>competition awareness</topic><topic>Complex networks</topic><topic>Epidemics</topic><topic>hybrid networks</topic><topic>Infectious diseases</topic><topic>information dissemination</topic><topic>Overlay networks</topic><topic>Social networking (online)</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Wang, Yaxi</creatorcontrib><creatorcontrib>Wang, Xuyang</creatorcontrib><creatorcontrib>Yue, Nianxi</creatorcontrib><collection>IEEE All-Society Periodicals Package (ASPP) 2005-present</collection><collection>IEEE Open Access Journals</collection><collection>IEEE All-Society Periodicals Package (ASPP) 1998-Present</collection><collection>IEEE Electronic Library (IEL)</collection><collection>CrossRef</collection><collection>DOAJ Directory of Open Access Journals</collection><jtitle>IEEE access</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Wang, Yaxi</au><au>Wang, Xuyang</au><au>Yue, Nianxi</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Multi-Information Hybrid Network Spreading Model Based on Competition Consciousness</atitle><jtitle>IEEE access</jtitle><stitle>Access</stitle><date>2021</date><risdate>2021</risdate><volume>9</volume><spage>31504</spage><epage>31512</epage><pages>31504-31512</pages><issn>2169-3536</issn><eissn>2169-3536</eissn><coden>IAECCG</coden><abstract>In fact, information is not transmitted in a single message, but rather multiple messages are transmitted simultaneously and interact with each other as they are transmitted. Based on this phenomenon, a multi-information overlay network model that differs from the traditional network structure is first constructed on the basis of two classical network models, BA scale-free and WS Small World. When multiple messages are transmitted simultaneously, the competitive nature of the message affects the transmission process to some extent, and therefore a sense of competition for the message is introduced into the classical SIS model of infectious disease. Simulation experiments have shown that a sense of competition enhances or inhibits the spread of information to varying degrees, and that information with a high sense of competition has a greater scale of spread, in line with the real-life "Matthew effect". In addition, the sense of competition also accelerates the spread of information. Therefore, it is possible to inhibit the spread of negative information by controlling the sense of competition, so as to achieve timely warning and control of negative information.</abstract><pub>IEEE</pub><doi>10.1109/ACCESS.2021.3057636</doi><tpages>9</tpages><orcidid>https://orcid.org/0000-0002-7478-785X</orcidid><orcidid>https://orcid.org/0000-0002-2293-7553</orcidid><oa>free_for_read</oa></addata></record> |
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subjects | Blogs competition awareness Complex networks Epidemics hybrid networks Infectious diseases information dissemination Overlay networks Social networking (online) |
title | Multi-Information Hybrid Network Spreading Model Based on Competition Consciousness |
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