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Bing-Hong Wang

  1. Universal effect of preferential selection on consensus in opinion dynamics.

    Fri, 08/06/2010 - 15:01 — SomNambul
    Authors: Bing-Hong Wang, Han-Xin Yang, Wen-Xu Wang, Ying-Cheng Lai
    Subjects: Applications
    Abstract

    We investigate the opinion dynamics by extending the majority rule model to a
    preferential selection model, in which agents choose opinions with some
    probability rather than absolutely follow the majority. In the model, agent $i$
    agrees with one of binary opinions with the probability that is a power
    function of the number of agents holding this opinion among agent $i$ and its
    nearest neighbors, where an adjustable parameter $\alpha$ controls the degree
    of preferential selection. We find that global consensus is unable to be
    reached if $\alpha<1$.

  2. Improved Collaborative Filtering Algorithm via Information Transformation.

    Fri, 10/16/2009 - 04:10 — SomNambul
    Authors: Jian-Guo Liu, Bing-Hong Wang, Qiang Guo
    Subjects: Learning
    Abstract

    In this paper, we propose a spreading activation approach for collaborative
    filtering (SA-CF). By using the opinion spreading process, the similarity
    between any users can be obtained. The algorithm has remarkably higher accuracy
    than the standard collaborative filtering (CF) using Pearson correlation.
    Furthermore, we introduce a free parameter $\beta$ to regulate the
    contributions of objects to user-user correlations. The numerical results
    indicate that decreasing the influence of popular objects can further improve
    the algorithmic accuracy and personality.

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