An opinion leader perceptual model based on PageRank algorithm

Huakang Li; Siqi Huang; Guozi Sun

doi:10.1109/BESC.2015.7365973

An opinion leader perceptual model based on PageRank algorithm

Huakang Li, Siqi Huang, Guozi Sun^*

^*Corresponding author for this work

Nanjing University of Posts and Telecommunications

Research output: Chapter in Book or Report/Conference proceeding › Conference Proceeding › peer-review

12 Citations (Scopus)

Abstract

With more and more social public attention from microblog opinion leaders, they have gradually become the essential role to publicize information and influence public opinion in microblog platform, whose ability in monitoring and guiding public opinions also causes public focus. The thesis first proposes to start evaluation about influence of microblog opinion leaders from perspectives of individual activity, node attention degree, and user node quality and so on based on influence characters owned by microblog opinion leaders and constructs the analytical model of microblog information influence combined with PageRank. It can be found from research results that the method proposed in the thesis can analyze accurately and efficiently the influence of information in propagation route of microblog social communication network.

Original language	English
Title of host publication	2015 International Conference on Behavioral, Economic and Socio-Cultural Computing, BESC 2015
Publisher	Institute of Electrical and Electronics Engineers Inc.
Pages	150-155
Number of pages	6
ISBN (Electronic)	9781467387835
DOIs	https://doi.org/10.1109/BESC.2015.7365973
Publication status	Published - 24 Dec 2015
Externally published	Yes
Event	International Conference on Behavioral, Economic and Socio-Cultural Computing, BESC 2015 - Nanjing, China Duration: 30 Oct 2015 → 1 Nov 2015

Publication series

Name	2015 International Conference on Behavioral, Economic and Socio-Cultural Computing, BESC 2015

Conference

Conference	International Conference on Behavioral, Economic and Socio-Cultural Computing, BESC 2015
Country/Territory	China
City	Nanjing
Period	30/10/15 → 1/11/15

Keywords

Information Influence
Opinion Leader
PageRank
Social network

Access to Document

10.1109/BESC.2015.7365973

Cite this

Li, H., Huang, S., & Sun, G. (2015). An opinion leader perceptual model based on PageRank algorithm. In 2015 International Conference on Behavioral, Economic and Socio-Cultural Computing, BESC 2015 (pp. 150-155). Article 7365973 (2015 International Conference on Behavioral, Economic and Socio-Cultural Computing, BESC 2015). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/BESC.2015.7365973

Li, Huakang ; Huang, Siqi ; Sun, Guozi. / An opinion leader perceptual model based on PageRank algorithm. 2015 International Conference on Behavioral, Economic and Socio-Cultural Computing, BESC 2015. Institute of Electrical and Electronics Engineers Inc., 2015. pp. 150-155 (2015 International Conference on Behavioral, Economic and Socio-Cultural Computing, BESC 2015).

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title = "An opinion leader perceptual model based on PageRank algorithm",

abstract = "With more and more social public attention from microblog opinion leaders, they have gradually become the essential role to publicize information and influence public opinion in microblog platform, whose ability in monitoring and guiding public opinions also causes public focus. The thesis first proposes to start evaluation about influence of microblog opinion leaders from perspectives of individual activity, node attention degree, and user node quality and so on based on influence characters owned by microblog opinion leaders and constructs the analytical model of microblog information influence combined with PageRank. It can be found from research results that the method proposed in the thesis can analyze accurately and efficiently the influence of information in propagation route of microblog social communication network.",

keywords = "Information Influence, Opinion Leader, PageRank, Social network",

author = "Huakang Li and Siqi Huang and Guozi Sun",

note = "Publisher Copyright: {\textcopyright} 2015 IEEE.; International Conference on Behavioral, Economic and Socio-Cultural Computing, BESC 2015 ; Conference date: 30-10-2015 Through 01-11-2015",

year = "2015",

month = dec,

day = "24",

doi = "10.1109/BESC.2015.7365973",

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series = "2015 International Conference on Behavioral, Economic and Socio-Cultural Computing, BESC 2015",

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Li, H, Huang, S & Sun, G 2015, An opinion leader perceptual model based on PageRank algorithm. in 2015 International Conference on Behavioral, Economic and Socio-Cultural Computing, BESC 2015., 7365973, 2015 International Conference on Behavioral, Economic and Socio-Cultural Computing, BESC 2015, Institute of Electrical and Electronics Engineers Inc., pp. 150-155, International Conference on Behavioral, Economic and Socio-Cultural Computing, BESC 2015, Nanjing, China, 30/10/15. https://doi.org/10.1109/BESC.2015.7365973

An opinion leader perceptual model based on PageRank algorithm. / Li, Huakang; Huang, Siqi; Sun, Guozi.
2015 International Conference on Behavioral, Economic and Socio-Cultural Computing, BESC 2015. Institute of Electrical and Electronics Engineers Inc., 2015. p. 150-155 7365973 (2015 International Conference on Behavioral, Economic and Socio-Cultural Computing, BESC 2015).

Research output: Chapter in Book or Report/Conference proceeding › Conference Proceeding › peer-review

TY - GEN

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AU - Huang, Siqi

AU - Sun, Guozi

PY - 2015/12/24

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N2 - With more and more social public attention from microblog opinion leaders, they have gradually become the essential role to publicize information and influence public opinion in microblog platform, whose ability in monitoring and guiding public opinions also causes public focus. The thesis first proposes to start evaluation about influence of microblog opinion leaders from perspectives of individual activity, node attention degree, and user node quality and so on based on influence characters owned by microblog opinion leaders and constructs the analytical model of microblog information influence combined with PageRank. It can be found from research results that the method proposed in the thesis can analyze accurately and efficiently the influence of information in propagation route of microblog social communication network.

AB - With more and more social public attention from microblog opinion leaders, they have gradually become the essential role to publicize information and influence public opinion in microblog platform, whose ability in monitoring and guiding public opinions also causes public focus. The thesis first proposes to start evaluation about influence of microblog opinion leaders from perspectives of individual activity, node attention degree, and user node quality and so on based on influence characters owned by microblog opinion leaders and constructs the analytical model of microblog information influence combined with PageRank. It can be found from research results that the method proposed in the thesis can analyze accurately and efficiently the influence of information in propagation route of microblog social communication network.

KW - Information Influence

KW - Opinion Leader

KW - PageRank

KW - Social network

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U2 - 10.1109/BESC.2015.7365973

DO - 10.1109/BESC.2015.7365973

M3 - Conference Proceeding

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T3 - 2015 International Conference on Behavioral, Economic and Socio-Cultural Computing, BESC 2015

SP - 150

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BT - 2015 International Conference on Behavioral, Economic and Socio-Cultural Computing, BESC 2015

PB - Institute of Electrical and Electronics Engineers Inc.

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Y2 - 30 October 2015 through 1 November 2015

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Li H, Huang S, Sun G. An opinion leader perceptual model based on PageRank algorithm. In 2015 International Conference on Behavioral, Economic and Socio-Cultural Computing, BESC 2015. Institute of Electrical and Electronics Engineers Inc. 2015. p. 150-155. 7365973. (2015 International Conference on Behavioral, Economic and Socio-Cultural Computing, BESC 2015). doi: 10.1109/BESC.2015.7365973

An opinion leader perceptual model based on PageRank algorithm

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