An Extend SIR Opinion Dynamic Model Base on Empirical Signed Network Mining

Wei Li; Pei Li; Hui Wang

doi:10.4028/www.scientific.net/AMM.513-517.2744

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HomeApplied Mechanics and MaterialsApplied Mechanics and Materials Vols. 513-517An Extend SIR Opinion Dynamic Model Base on...

An Extend SIR Opinion Dynamic Model Base on Empirical Signed Network Mining

Abstract:

Relations between users on online social media sites often reflect a mixture of positive and negative interactions. The network composed by those positive and negative relations is called signed social network. We design a web crawler to collect the data base on a special web event of battle between Fang Zhouzi and Han Han. And we construct a signed social network with sentiment weighted relationships base on this empirical data. Under this empirical spread web structure, we construct an extended SIR spread model in such a signed social network with sentiment weighted relationships, and we study influence with the network factors of signed, directed and weighted on opinion spreading. Under this model, we could know the proportion of signed edges is most important factor to the spread result.

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Periodical:

Applied Mechanics and Materials (Volumes 513-517)

Pages:

2744-2747

DOI:

https://doi.org/10.4028/www.scientific.net/AMM.513-517.2744

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Online since:

February 2014

Authors:

Wei Li*, Pei Li, Hui Wang

Keywords:

Sentiment, Signed Social Networks, SIR Model, Weighted

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* - Corresponding Author

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