Amit Goyal, Francesco Bonchi, Reihaneh Rabbany Khorasgani, Lars Backstrom, Dan Huttenlocher
{"title":"Identification of prominent Leaders and analysis of their influence in online social networks","authors":"Amit Goyal, Francesco Bonchi, Reihaneh Rabbany Khorasgani, Lars Backstrom, Dan Huttenlocher","doi":"10.1109/NCCCIS.2015.7295904","DOIUrl":null,"url":null,"abstract":"Human life is diffused by Social networks(SNs): persons interrelate, influence and are influenced by their confrères. With the advent of WWW, the amount of information accessible on SNs is gigantic, allowing the eminent exploration of data. Social network analysis(SNA) has been achieving consideration from divergent areas like anthropology, biology, psychology, economics. The swift upsurge of the online SN sites and their publicly obtainable data attaining API's has crystallized the prosperity of SNA research. Tracing potent users and their influence is one of the trendiest topics of SNA. Contemporary exploration of associations among the members of a SN reveals that people influence indirect contacts through direct ones. Indispensable evidence about the influential users and the ability to predict them may be leveraged for several applications. This research work employs Pareto front function to mark the prominent leaders which is followed by an empirical analysis of the results of their unswerving influence.","PeriodicalId":201980,"journal":{"name":"2015 IEEE Seventh National Conference on Computing, Communication and Information Systems (NCCCIS)","volume":"92 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2015-10-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2015 IEEE Seventh National Conference on Computing, Communication and Information Systems (NCCCIS)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/NCCCIS.2015.7295904","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 1
Abstract
Human life is diffused by Social networks(SNs): persons interrelate, influence and are influenced by their confrères. With the advent of WWW, the amount of information accessible on SNs is gigantic, allowing the eminent exploration of data. Social network analysis(SNA) has been achieving consideration from divergent areas like anthropology, biology, psychology, economics. The swift upsurge of the online SN sites and their publicly obtainable data attaining API's has crystallized the prosperity of SNA research. Tracing potent users and their influence is one of the trendiest topics of SNA. Contemporary exploration of associations among the members of a SN reveals that people influence indirect contacts through direct ones. Indispensable evidence about the influential users and the ability to predict them may be leveraged for several applications. This research work employs Pareto front function to mark the prominent leaders which is followed by an empirical analysis of the results of their unswerving influence.