Social Role-Aware Emotion Contagion in Image Social Networks
Social Role-Aware Emotion Contagion in Image Social Networks
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DOI：
10.1609/aaai.v30i1.10003
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发表时间：
2016-02
期刊：
影响因子：
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通讯作者：
Yang Yang-Yang;Jia Jia-Jia;Boya Wu;Jie Tang
中科院分区：
文献类型：
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作者：
Yang Yang-Yang;Jia Jia-Jia;Boya Wu;Jie Tang
心理学理论认为，情绪代表了一个人认知系统的心理状态和本能反应（Cannon 1927）。情绪是一种复杂的感觉状态，它会导致影响我们行为的生理和心理变化。本文研究了社交网络中的情绪传染问题。特别地，我们以图片社交网络（Flickr）为研究基础，试图揭示用户的情绪状态是如何相互影响的，以及用户在社交网络中的位置如何影响其对情绪的影响强度。我们开发了一个概率框架，将问题形式化为角色感知传染模型。该模型能够根据用户的历史情感状态和社会结构来预测用户的情感状态。在大型Flickr数据集上的实验表明，所提出的模型在预测用户情绪状态方面明显优于几种替代方法（f1得分+31%）。我们还发现了几个有趣的现象。例如，用户感到快乐的概率与同样快乐的朋友数量大致呈线性关系；但仔细观察，幸福概率与网络中作为意见领袖的快乐朋友的数量呈超线性关系（Page et al. 1999），与跨越结构洞的快乐朋友的数量呈次线性关系（Burt 2001）。这为理解在线社交网络中情绪感染的潜在机制提供了一个新的机会。
Psychological theories suggest that emotion represents the state of mind and instinctive responses of one’s cognitive system (Cannon 1927). Emotions are a complex state of feeling that results in physical and psychological changes that influence our behavior. In this paper, we study an interesting problem of emotion contagion in social networks. In particular, by employing an image social network (Flickr) as the basis of our study, we try to unveil how users’ emotional statuses influence each other and how users’ positions in the social network affect their influential strength on emotion. We develop a probabilistic framework to formalize the problem into a role-aware contagion model. The model is able to predict users’ emotional statuses based on their historical emotional statuses and social structures. Experiments on a large Flickr dataset show that the proposed model significantly outperforms (+31% in terms of F1-score) several alternative methods in predicting users’ emotional status. We also discover several intriguing phenomena. For example, the probability that a user feels happy is roughly linear to the number of friends who are also happy; but taking a closer look, the happiness probability is superlinear to the number of happy friends who act as opinion leaders (Page et al. 1999) in the network and sublinear in the number of happy friends who span structural holes (Burt 2001). This offers a new opportunity to understand the underlying mechanism of emotional contagion in online social networks.