• DocumentCode
    693653
  • Title

    A study on evolution of influence in online social networks

  • Author

    Yeruva, Sujatha ; Devi, T. ; Reddy, Y. Samatha

  • Author_Institution
    Dept. of Comput. Sci., St. Francis Coll. for Women, Hyderabad, India
  • fYear
    2013
  • fDate
    19-21 Dec. 2013
  • Firstpage
    1
  • Lastpage
    6
  • Abstract
    Online social networks are gaining galloping upward momentum in a quick succession ever since from their inception as they lay a sturdy platform to share the information seeping into everyone who is concerned about it. In this spirited world substantial amount of success depends on how quickly one is able to reach out to the maximum number of people. There are very few who can have paramount consideration of influence on others. Crux of the problem is to pick right people whose influence is absolute in order to diffuse the influence with minimum effort. These seeding people can in turn be used to make an upward notion in areas like politics, all types of education including health and farming, introduce a product or service in the market, to revolutionize any formal setup environment of both private and public, training employees, changes in thinking patterns of the society and its life style, to propagate superior deliberations in the minds of people and likewise. In this paper Pareto front function is used to identify the eminent leaders which is followed by the empirical analysis of the results of evolution of their influence.
  • Keywords
    Pareto optimisation; social networking (online); Pareto front function; eminent leader identification; online social networks; Communication systems; Communities; Educational institutions; Lead; Social network services; Sociology; Statistics; Pareto front function; Social Network; measuring influence;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Advanced Computing and Communication Systems (ICACCS), 2013 International Conference on
  • Conference_Location
    Coimbatore
  • Type

    conf

  • DOI
    10.1109/ICACCS.2013.6938718
  • Filename
    6938718