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10.3390/ijerph17030946 http://scihub22266oqcxt.onion/10.3390/ijerph17030946 32033012!7037295!32033012     free     free     free Deprecated: Implicit conversion from float 219.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 219.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 219.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 219.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534       Int+J+Environ+Res+Public+Health 2020 ; 17 (3): ä Nephropedia Template TP {{tp|p=32033012|t=2020. Public Opinion Polarization by Individual Revenue from the Social Preference Theory |pdf=|usr=}}{{32033012}} gab.com Text Public Opinion Polarization by Individual Revenue from the Social Preference Theory JO: Int J Environ Res Public Health http://www.kidney.de/pget.php?&tw=1&pmid=32033012 #FOAvip Social conflicts occur frequently duringthe social transition period and the polarization of public opinion happens occasionally. By introducing the social preference theory, the target of this paper is to reveal the micro-interaction mechanism of public opinion polarization. Firstly, we divide the social preferences of Internet users (network nodes) into three categories: egoistic, altruistic, and fair preferences, and adopt the revenue function to define the benefits obtained by individuals with different preferences among their interaction process so as to analyze their decision-making behaviors driven by the revenue. Secondly, the revenue function is used to judge the exit rules of nodes in a network, and then a dynamic network of spreading public opinionwith the node (individual) exit mechanism is built based on a BA scale-free network. Subsequently, the influences of different social preferences,as well as individual revenue on the effect of public opinionpolarization, are analyzed through simulation experiments. The simulation results show that(1) Different social preferences demonstrate different influences on the evolution of public opinions, (2) Individuals tend to interact with ones with different preferences, (3) The network with a single preference or a high aggregation is more likely to form public opinion polarization. Finally, the practicability and effectiveness of the proposed model are verified by a real case. Twit Text FOAVip Public Opinion Polarization by Individual Revenue from the Social Preference Theory ????Int J Environ Res Public Health http://www.kidney.de/pget.php?&tw=1&pmid=32033012 #FOAvip Twit Text # Free Paper on # # # # # LINK http://www.kidney.de/pget.php?&tw=1&pmid=32033012 #FOAvip English Wikipedia <ref>{{Cite pmid|32033012}}</ref> Public Opinion Polarization by Individual Revenue from the Social Preference Theory #MMPMID32033012 Chen T; Li Q; Fu P; Yang J; Xu C; Cong G; Li G Int J Environ Res Public Health 2020[Feb]; 17 (3): ä PMID32033012show ga Social conflicts occur frequently duringthe social transition period and the polarization of public opinion happens occasionally. By introducing the social preference theory, the target of this paper is to reveal the micro-interaction mechanism of public opinion polarization. Firstly, we divide the social preferences of Internet users (network nodes) into three categories: egoistic, altruistic, and fair preferences, and adopt the revenue function to define the benefits obtained by individuals with different preferences among their interaction process so as to analyze their decision-making behaviors driven by the revenue. Secondly, the revenue function is used to judge the exit rules of nodes in a network, and then a dynamic network of spreading public opinionwith the node (individual) exit mechanism is built based on a BA scale-free network. Subsequently, the influences of different social preferences,as well as individual revenue on the effect of public opinionpolarization, are analyzed through simulation experiments. The simulation results show that(1) Different social preferences demonstrate different influences on the evolution of public opinions, (2) Individuals tend to interact with ones with different preferences, (3) The network with a single preference or a high aggregation is more likely to form public opinion polarization. Finally, the practicability and effectiveness of the proposed model are verified by a real case. |*Models, Psychological[MESH] |*Public Opinion[MESH] |*Social Theory[MESH] |Altruism[MESH] |Decision Making[MESH]Public Opinion Polarization by Individual Revenue from the Social Pref(epmc).pdf DeepDyve Pubget Overpricing