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User spread influence measurement in microblog

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Abstract

With the popular of online social network, the studies of information diffusion on social media also become very attractive direction. Knowing the influence of users and being able to predict it can be very helpful in enhancing or controlling the information diffusion process, where the identification of influential spreaders in online social network is very critical. In this paper, a novel method called SIRank is proposed to measure the spread influence of users in microblog, considering the user interaction features, retweet intervals, location of users in information cascades and other relevant features. By quantifying cascade structure influence and user interaction influence on information diffusion, the proposed methods uses random walk on microblog network, successfully ranked the users’ spread influence. Experiments were conducted on an anonymous real microblog dataset, the results shown that our method can efficiently measure the users’ spread influence, and perform better in both coverage and prediction comparison than other ranking methods.

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Acknowledgments

The work was sponsored by the National Nature Science Foundation of China under grant number 61300053.

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Authors and Affiliations

  1. Nanjing University of Science and Technology, Nanjing, 210094, China

    Kechen Zhuang, Haibo Shen & Hong Zhang

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  1. Kechen Zhuang
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  2. Haibo Shen
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  3. Hong Zhang
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Correspondence to Kechen Zhuang.

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Zhuang, K., Shen, H. & Zhang, H. User spread influence measurement in microblog. Multimed Tools Appl 76, 3169–3185 (2017). https://doi.org/10.1007/s11042-016-3818-z

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  • DOI: https://doi.org/10.1007/s11042-016-3818-z

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