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10.1016/j.chaos.2022.112035 http://scihub22266oqcxt.onion/10.1016/j.chaos.2022.112035 35400857!8979795!35400857     free     free     free Deprecated: Implicit conversion from float 209.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 209.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534       Chaos+Solitons+Fractals 2022 ; 159 (ä): 112035 Nephropedia Template TP {{tp|p=35400857|t=2022. Controlling COVID-19 transmission with isolation of influential nodes |pdf=|usr=}}{{35400857}} gab.com Text Controlling COVID-19 transmission with isolation of influential nodes JO: Chaos Solitons Fractals http://www.kidney.de/pget.php?&tw=1&pmid=35400857 #FOAvip To understand the transmission dynamics of any infectious disease outbreak, identification of influential nodes plays a crucial role in a complex network. In most infectious disease outbreaks, activities of some key nodes can trigger rapid disease transmission in the population. Identification and immediate isolation of those influential nodes can impede the disease transmission effectively. In this paper, the technique for order of preference by similarity to ideal solution (TOPSIS) method with a novel formula has been proposed to detect the influential and top ranked nodes in a complex social network, which involves analyzing and studying of structural organization of a network. In the proposed TOPSIS method, several centrality measures have been used as multi-attributes of a complex social network. A new formula has been designed for calculating the transmission probability of an epidemic disease to identify the impact of isolating influential nodes. To verify the robustness of the proposed method, we present a comprehensive comparison with five node-ranking methods, which are being used currently for assessing the importance of nodes. The key nodes can be considered as a person, community, cluster or a particular area. The Susceptible-infected-recovered (SIR) epidemic model is exploited in two real networks to examine the spreading ability of the nodes, and the results illustrate the effectiveness of the proposed method. Our findings have unearthed that quarantine or isolation of influential nodes following proper health protocols can play a pivotal role in curbing the transmission rate of COVID-19. Twit Text FOAVip Controlling COVID-19 transmission with isolation of influential nodes ????Chaos Solitons Fractals http://www.kidney.de/pget.php?&tw=1&pmid=35400857 #FOAvip Twit Text # Free Paper on # # # # # LINK http://www.kidney.de/pget.php?&tw=1&pmid=35400857 #FOAvip English Wikipedia <ref>{{Cite pmid|35400857}}</ref> Controlling COVID-19 transmission with isolation of influential nodes #MMPMID35400857 Chaharborj SS; Nabi KN; Feng KL; Chaharborj SS; Phang PS Chaos Solitons Fractals 2022[Jun]; 159 (ä): 112035 PMID35400857show ga To understand the transmission dynamics of any infectious disease outbreak, identification of influential nodes plays a crucial role in a complex network. In most infectious disease outbreaks, activities of some key nodes can trigger rapid disease transmission in the population. Identification and immediate isolation of those influential nodes can impede the disease transmission effectively. In this paper, the technique for order of preference by similarity to ideal solution (TOPSIS) method with a novel formula has been proposed to detect the influential and top ranked nodes in a complex social network, which involves analyzing and studying of structural organization of a network. In the proposed TOPSIS method, several centrality measures have been used as multi-attributes of a complex social network. A new formula has been designed for calculating the transmission probability of an epidemic disease to identify the impact of isolating influential nodes. To verify the robustness of the proposed method, we present a comprehensive comparison with five node-ranking methods, which are being used currently for assessing the importance of nodes. The key nodes can be considered as a person, community, cluster or a particular area. The Susceptible-infected-recovered (SIR) epidemic model is exploited in two real networks to examine the spreading ability of the nodes, and the results illustrate the effectiveness of the proposed method. Our findings have unearthed that quarantine or isolation of influential nodes following proper health protocols can play a pivotal role in curbing the transmission rate of COVID-19. äControlling COVID-19 transmission with isolation of influential nodes (epmc).pdf DeepDyve Pubget Overpricing