NDLI: Research of micro-blog diffusion effect based on analysis of retweet behavior

Content Provider	IEEE Xplore Digital Library
Author	Wei Hou Yuan Huang Kao Zhang
Copyright Year	2015
Description	Author affiliation: Nat. Comput. Network & Inf. Security Manage. Center, Beijing, China (Wei Hou; Yuan Huang) \|\| Nat. Digital Switching Syst. Eng. & Technol. R&D Center, Zhengzhou, China (Kao Zhang)
Abstract	Research on the diffusion effect of micro-blog plays an important role in improving marketing efficiency, strengthening monitoring public opinion and accurately discovering hotspot etc. To solve the problems not taking users' differences into consideration in the previous research, this paper proposes an algorithm to predict scale and depth of retweet massages based on analysis of retweet behavior. With the combination of LR algorithm and nine related features extracted from micro-blog users themselves, their relationships and micro-blog contents, we proposes a prediction model of retweet behavior. Based on this model, we proposes an algorithm to predict the diffusion effect, which considers the character of information spreading along users and does statistical analysis of adjacent users iteratively. Experimental results on Sina micro-blog dataset show that the algorithm has a prediction accuracy of 87.1% and 81.6% in scale and depth respectively, which indicates the model works well.
Starting Page	255
Ending Page	261
File Size	918600
Page Count	7
File Format	PDF
e-ISBN	9781467372909
DOI	10.1109/ICCI-CC.2015.7259394
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2015-07-06
Publisher Place	China
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Blogs IEL Logistic Regression Micro-Blog Behavior Prediction Retweet Scale Diffusion Depth
Content Type	Text
Resource Type	Article

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