计算机科学 ›› 2013, Vol. 40 ›› Issue (Z11): 63-67.
沈洁,郭莉森
SHEN Jie and GUO Li-sen
摘要: 根据分析现有社会网络的历史、特征和应用,提出相应的理论模型。基于模糊聚类的置信传播理论,将社会网站按照其覆盖范围进行层次分类,分析影响用户数量和用户行为的因素,通过算法将其分成不同的聚类。由于算法中采用模糊集对置信概率进行近似计算,使得计算复杂度降低。然后,通过一个新能源汽车充电的社会网络,在无线传感器网络和Web2.0应用模式的例子,统计该网络的数据,并与算法聚类预测结果进行比较,实验证明算法的精确性和实用性。最后,给出一般社会网络的商业模式,并展望其对未来因特网的影响。
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