NDLI: Modelling Influence in a Social Network: Metrics and Evaluation

Content Provider	IEEE Xplore Digital Library
Author	Hajian, B. White, T.
Copyright Year	2011
Abstract	Social recommender systems are a recently introduced type of decision support system. One of the issues to be resolved in social recommender systems is the identification of opinion leaders in a network. The focus of this paper is the analysis of a network based on the interactions between users called behavioral analysis. The hypothesis explored in this paper is that Influence Rank can be quantified based on the interaction between users and their behavior. The Influence Rank for a node is defined as the average Influence Rank of its neighborhoods combined with another index called Magnitude of Influence. The correlation between the proposed indices is analyzed in this paper. This combined measure is calculated by a recursive algorithm whose calculation complexity is non-polynomial. However, this measure can be estimated by using the Page Rank algorithm. Results supporting the utility of the measure and the accuracy of its estimation using the Page Rank approximation are presented.
Starting Page	497
Ending Page	500
File Size	1128626
Page Count	4
File Format	PDF
ISBN	9781457719318
DOI	10.1109/PASSAT/SocialCom.2011.118
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2011-10-09
Publisher Place	USA
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Measurement Social Network Correlation Social network services Conferences Social Influence Behavioural Analysis Approximation algorithms Prediction algorithms Indexes Modeling
Content Type	Text
Resource Type	Article

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1	Ministry of Education (GoI), Department of Higher Education	Sanctioning Authority	https://www.education.gov.in/ict-initiatives
2	Indian Institute of Technology Kharagpur	Host Institute of the Project: The host institute of the project is responsible for providing infrastructure support and hosting the project	https://www.iitkgp.ac.in
3	National Digital Library of India Office, Indian Institute of Technology Kharagpur	The administrative and infrastructural headquarters of the project	Dr. B. Sutradhar bsutra@ndl.gov.in
4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
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9	IDR Setup or Support	Queries related to establishment and support of Institutional Digital Repository (IDR) and IDR workshops	idr@ndl.gov.in

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