International Journal of Engineering Research in Computer Science and Engineering (IJERCSE)

Monthly Journal for Science , Computer Science and Engineering

Volume4,September 2017,

Topic : Detection and Analysis of Influence by Renowned Leaders in Online Social Networks

Authors:Sr.SujathaYeruva ||

Abstract:Social networks (SNs) are part and parcel of human life: inhabitants progress, influence and are influenced by their acquaintances. The quantity of knowledge accessible on SNs is gigantic with the advent of World Wide Web, allowing the qualitative exploration of information. Social network analysis (SNA) has been gaining thought from divergent areas like social science, economics, psychology, biology. The swift rise of the net SN sites and their publically procurable knowledge attaining API’s has crystallized the prosperity of SNA analysis. Tracing potent users and their influence is one among the trendiest topics of SNA. Contemporary exploration of associations among the members of a SN reveals that through direct contacts individuals influence indirect ones. Substantive data concerning the prestigious users and also the ability to predict them could also be leveraged for many applications. This analysis work employs Pareto Front function to mark the outstanding leaders that is followed by an empirical analysis of the results of their dependable influence.

Keywords: Influence measure, Pareto front function , Renowned Leaders, Social Networks

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DOI: 01.1617/vol4/iss9/pid30549


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Editor-in-Chief

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Dr. Allon Guez
Professor, Drexel University,
USA


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IMPACT FACTOR: 4.890

ISSN(Online):2394-2320

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Thomson Reuters ID : q-6288-2016.
ORCiD Research ID : 0000-0001-9540-6799

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Journal Code : IJERCSE
Electronic ISSN : 2394-2320
Impact Factor : 4.890
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