Happiness Is Assortative in Online Social Networks

Happiness Is Assortative in Online Social Networks
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DOI:
10.1162/artl_a_00034
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发表时间:
2011-06-01
期刊:
影响因子:
2.6
通讯作者:
Mao, Huina
Mao, Huina
中科院分区:
计算机科学4区
文献类型:
--
作者:
Bollen, Johan;Goncalves, Bruno;Mao, Huina

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在线社交网络社区可能表现出高度复杂和适应性的集体行为。由于情绪在人类决策中起着如此重要的作用,在线网络如何调节人类集体情绪状态已成为一个相当感兴趣的问题。尽管在线社交网络的社会重要性日益增加,但在没有身体接触的情况下,仅通过在线网络服务介导社会联系的情况下,是否会发生心理状态的自愿混合尚不清楚。在这里,我们表明,一般的幸福,或主观幸福感(SWB),Twitter用户,从6个月的记录,他们的个人推文,确实是跨Twitter社交网络。我们的研究结果意味着,在线社交网络可能同样受到社会机制,导致竞争性混合在真实的社交网络,这种竞争性混合发生在主观幸福感的水平。鉴于在线社交网络的日益普及,它们将具有相似SWB水平的用户连接起来的倾向可能是在人类社会中保持和传播积极和消极情绪的重要因素。未来的研究可能会集中在事件特定的情绪状态如何传播和影响用户行为在“真实的生活。"
Online social networking communities may exhibit highly complex and adaptive collective behaviors. Since emotions play such an important role in human decision making, how online networks modulate human collective mood states has become a matter of considerable interest. In spite of the increasing societal importance of online social networks, it is unknown whether assortative mixing of psychological states takes place in situations where social ties are mediated solely by online networking services in the absence of physical contact. Here, we show that the general happiness, or subjective well-being (SWB), of Twitter users, as measured from a 6-month record of their individual tweets, is indeed assortative across the Twitter social network. Our results imply that online social networks may be equally subject to the social mechanisms that cause assortative mixing in real social networks and that such assortative mixing takes place at the level of SWB. Given the increasing prevalence of online social networks, their propensity to connect users with similar levels of SWB may be an important factor in how positive and negative sentiments are maintained and spread through human society. Future research may focus on how event-specific mood states can propagate and influence user behavior in "real life."