Title :
A Study on Direct Influence in Online Social Networks
Author :
Yeruva, Sujatha ; Devi, T.
Author_Institution :
Dept. of Comput. Applic., Bharathiar Univ., Coimbatore, India
Abstract :
Online social networks are gaining momentum in an exceedingly fast succession ever since from their commencement as they lay a robust platform to share the knowledge seeping into everybody who cares about it. In this gogetting world substantial quantity of success depends on how quickly one is ready to succeed resolutely the most hodgepodges of individuals. There are only a few who will have preponderating thought of influence on others. Quintessence of the matter is to choose right individuals whose influence is incontestable so as to propagate the influence with minimum effort. These seeding individuals will successively be accustomed to build an upward notion in areas like politics, all sorts of education together with health and farming, introduce a product or service within the market, to revolutionize any formal setup surroundings of a piece non-public and public, coaching staff, transmute in thinking patterns of the society and its life trends, to proliferate advanced deliberations within the minds of individuals and likewise. This paper employs Pareto front function to spot the eminent leaders that is followed by the empirical analysis of the results of their undeviating influence.
Keywords :
Pareto optimisation; social aspects of automation; social networking (online); Pareto front function; coaching staff; education; health; knowledge sharing; online social networks; politics; quintessence; Business; Communities; Educational institutions; Lead; Social network services; Sociology; Statistics; Pareto front function; Social Network; efficient leaders; measuring influence;
Conference_Titel :
Intelligent Computing Applications (ICICA), 2014 International Conference on
Conference_Location :
Coimbatore
DOI :
10.1109/ICICA.2014.85