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<records>

  <record>
    <language>eng</language>
          <publisher>Oriental Scientific Publishing Company</publisher>
        <journalTitle>Biosciences Biotechnology Research Asia</journalTitle>
          <issn>0973-1245</issn>
            <publicationDate>2014-12-28</publicationDate>
    
        <volume>11</volume>
        <issue>3</issue>

 
    <startPage></startPage>
    <endPage></endPage>

	    <publisherRecordId>10784</publisherRecordId>
    <documentType>article</documentType>
    <title language="eng">Assessment of the System’s Epi-resistance Under Conditions of Information Epidemic Expansion</title>

    <authors>
	 


      <author>
       <name>Nikolay Mikhaylovich Radko,</name>

 
		
	<affiliationId>1</affiliationId>
      </author>
    

	 


      <author>
       <name>Alexander Grigorievich Ostapenko</name>


		
	<affiliationId>1</affiliationId>

      </author>
    

	 


      <author>
       <name>Sergey Vyacheslavovich Mashin</name>

		
	<affiliationId>1</affiliationId>
      </author>
    

	 


      <author>
       <name>Olga Aleksandrovna Ostapenko </name>

		
	<affiliationId>1</affiliationId>
      </author>
    


	 


      <author>
       <name>Dmitriy Vladimirovich Gusev</name>

		
	<affiliationId>1</affiliationId>
      </author>
    


	
    </authors>
    
	    <affiliationsList>
	    
		
		<affiliationName affiliationId="1">Voronezh State Technical University, Russian Federation, 394026, Voronezh, Moskovsky Prospect, 14.</affiliationName>
    

		
		
		
		
		
	  </affiliationsList>






    <abstract language="eng">The paper deals with the process of information epidemics spreading in an information and telecommunication system (ITCS) according to the SIR model. Constructing a probabilistic analysis model of information epidemic spreading is carried out; we propose an approach for estimating damage parameters, use and ITCS epi-resistance at different development stages of the process, depending on the model parameters. We provide recommendations for managing ITCS epi-resistance by changing parameters of the model.</abstract>

    <fullTextUrl format="html">https://www.biotech-asia.org/vol11no3/assessment-of-the-systems-epi-resistance-under-conditions-of-information-epidemic-expansion/</fullTextUrl>



      <keywords language="eng">
        <keyword><p class="normal-font">Information epidemics; SIR model; epi-resistance</p></keyword>
      </keywords>

  </record>
</records>