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Advancement of Decision Support System, Computing Methodology, Information Technology, Data Analysis and Mining Based on the Twelfth ICMSEM Proceedings Read chapter Read first chapter

2019 | OriginalPaper | Chapter

42. A Study on Predicting the Microblog Retweet Based the Random Walk Model

Authors : Yunzhong Cao, Jing Zhang, Yuanhong Ma, Peiji Shao

Published in: Proceedings of the Twelfth International Conference on Management Science and Engineering Management

Publisher: Springer International Publishing

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Abstract

For the sake of identifying information promulgator and raising the transmission efficiency of the marketing information, predicting the retweet behavior in the microblogging network is of great importance. Based on the social behavior of users, the user trust network has been built. The predictive model of the microblogging retweeting has been established based on the algorithm of trust random walk by integrating user trust and interest similarity. The prediction of information retweeting has been conducted by extracting data using API from enterprise microblogging platform. Experimental results show that the proposed model has preferable prediction accuracy and recall rate. The research conclusion provides a better computing model for searching active information disseminators of enterprise microblogs and provides a powerful practical technique and tool for the enterprise to implement accurate information transmission.

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previous chapter A Spiral Model of Trust Evolution
next chapter Forecasting Crude Oil Price Based on EMD-Wavelet-GARCH Model
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Metadata
Title
A Study on Predicting the Microblog Retweet Based the Random Walk Model
Authors
Yunzhong Cao
Jing Zhang
Yuanhong Ma
Peiji Shao
Copyright Year
2019
Book
Proceedings of the Twelfth International Conference on Management Science and Engineering Management

Print ISBN: 978-3-319-93350-4

Electronic ISBN: 978-3-319-93351-1

Copyright Year: 2019

DOI
https://doi.org/10.1007/978-3-319-93351-1_42

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