Analyzing mediator-activity effects for trust-network evolution in social media
Analyzing mediator-activity effects for trust-network evolution in social media
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分析社交媒体中信任网络演化的中介活动效应
DOI：
10.1007/978-3-319-13560-1_24
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发表时间：
2014
期刊：
影响因子：
--
通讯作者：
and Hiroshi Motoda
中科院分区：
文献类型：
--
作者：
Keito Hatta;Masahito Kumano;Masahiro Kimura;Kazumi Saito;Kouzou Ohara;and Hiroshi Motoda
我们从中介的角度分析社交媒体网站信任网络的演化。为此，我们提出了两个模拟中介存在下建立信任链接动态的随机模型，即a - me和a - mae模型，其中a - me模型根据中介类型分析信任网络进化的中介效应，a - mae模型是a - me模型的扩展，分析中介活动对信任网络进化的影响。我们提出了一种从观察到的信任链接和用户活动序列中推断模型参数值的有效方法。利用Epinions的真实数据，我们通过实验证明了在中介存在的情况下，A-MAE模型在预测近期信任链接方面显著优于A-ME模型，并证明了中介活动信息对信任网络进化的有效性。利用A-ME和A-MAE模型进一步阐明了Epinions数据中信任链接创建概率的几个特征性质。
We analyze evolution of trust networks in social media sites from a perspective of mediators. To this end, we propose two stochastic models that simulate the dynamics of creating a trust link under the presence of mediators,the A-ME and A-MAE models, where the A-ME model analyzes mediator effects for trust-network evolution in terms of mediator types, and the A-MAE model, an extension of the A-ME model, analyzes mediator-activity effects for trust-network evolution. We present an efficient method of inferring the values of model parameters from an observed sequence of trust links and user activities. Using real data from Epinions, we experimentally show that the A-MAE model significantly outperforms the A-ME model for predicting trust links in the near future under the presence of mediators, and demonstrate the effectiveness of mediator-activity information for trust-network evolution. We further clarify, by using the A-ME and A-MAE models, several characteristic properties of trust-link creation probability in the Epinions data.