• DocumentCode
    166510
  • Title

    Accelerating information diffusion in social networks under the Susceptible-Infected-Susceptible epidemic model

  • Author

    Kandhway, Kundan ; Kuri, Joy

  • Author_Institution
    Dept. of Electron. Syst. Eng., Indian Inst. of Sci., Bangalore, India
  • fYear
    2014
  • fDate
    24-27 Sept. 2014
  • Firstpage
    1515
  • Lastpage
    1519
  • Abstract
    Standard Susceptible-Infected-Susceptible (SIS) epidemic models assume that a message spreads from the infected to the susceptible nodes due to only susceptible-infected epidemic contact. We modify the standard SIS epidemic model to include direct recruitment of susceptible individuals to the infected class at a constant rate (independent of epidemic contacts), to accelerate information spreading in a social network. Such recruitment can be carried out by placing advertisements in the media. We provide a closed form analytical solution for system evolution in the proposed model and use it to study campaigning in two different scenarios. In the first, the net cost function is a linear combination of the reward due to extent of information diffusion and the cost due to application of control. In the second, the campaign budget is fixed. Results reveal the effectiveness of the proposed system in accelerating and improving the extent of information diffusion. Our work is useful for devising effective strategies for product marketing and political/social-awareness/crowd-funding campaigns that target individuals in a social network.
  • Keywords
    epidemics; security of data; social networking (online); epidemic contact; information diffusion; social networks; standard SIS epidemic model; susceptible-infected-susceptible epidemic model; Acceleration; Cost function; Modeling; Optimal control; Recruitment; Sociology; Statistics;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Advances in Computing, Communications and Informatics (ICACCI, 2014 International Conference on
  • Conference_Location
    New Delhi
  • Print_ISBN
    978-1-4799-3078-4
  • Type

    conf

  • DOI
    10.1109/ICACCI.2014.6968621
  • Filename
    6968621