NDLI: Diffusive Logistic Model Towards Predicting Information Diffusion in Online Social Networks

Content Provider	IEEE Xplore Digital Library
Author	Feng Wang Haiyan Wang Kuai Xu
Copyright Year	2012
Abstract	Online social networks have recently become an effective and innovative channel for spreading information and influence among hundreds of millions of end users. Most of prior work either carried out empirical studies or focus on the information diffusion modeling in temporal dimension, little attempt has been given on understanding information diffusion over both temporal and spatial dimensions. In this paper, we propose a Partial Differential Equation (PDE), specifically, a Diffusive Logistic (DL) equation to model the temporal and spatial characteristics of information diffusion. We present the temporal and spatial patterns in a real dataset collected from a social news aggregation site, Digg, and validate the proposed DL equation in terms of predicting the information diffusion process. Our experiment results show that the DL model is able to characterize and predict the process of information propagation in online social networks. For example, for the most popular news with 24,099 votes in Digg, the average prediction accuracy of DL model over all distances during the first 6 hours is 92.08%. To the best of our knowledge, this paper is the first attempt to use PDE-based model to study the information diffusion process in both temporal and spatial dimensions in online social networks.
Starting Page	133
Ending Page	139
File Size	251106
Page Count	7
File Format	PDF
ISBN	9781467314237
ISSN	15450678
e-ISBN	9781467314237
DOI	10.1109/ICDCSW.2012.16
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2012-06-18
Publisher Place	China
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Social network services Mathematical model Predictive models Logistics Diffusion processes Equations Accuracy
Content Type	Text
Resource Type	Article

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