Ptib: profiling top influential blogger in online social networks

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Vasanthakumar, G.U. and Deepa Shenoy, P. and Venugopal, K.R. (2016) Ptib: profiling top influential blogger in online social networks. International Journal of Information Processing, 10 (1). pp. 77-91. ISSN 0973-8215

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Abstract

Online Social Networks (OSNs) facilitate to create and spread information easily and rapidly, influencing others to participate and propagandize. This work proposes a novel method of profiling Influential Blogger (IB) based on the activities performed on one’s blog documents who influences various other bloggers in Social Blog Network (SBN). After constructing a social blogging site, a SBN is analyzed with appropriate parameters to get the Influential Blog Power (IBP) of each blogger in the network and demonstrate that profiling IB is adequate and accurate. The proposed Profiling Influential Blogger (PIB) Algorithm survival rate of IB is high and stable

Item Type: Article
Uncontrolled Keywords: Blog Document, Data Mining, Influential Blogger, Online Social Networks, Profiling, Top Influential Blogger.
Subjects: Faculty of Engineering > Computer Science & Information Science Engineering
Divisions: University Visvesvarayya College of Engineering > Department of Computer Science and Information Science Engineering
Depositing User: Ms Laxmi Kamble
Date Deposited: 15 Sep 2021 10:58
Last Modified: 15 Sep 2021 10:58
URI: http://eprints-bangaloreuniversity.in/id/eprint/9571

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