Happiness and the patterns of life: a study of geolocated tweets.
Happiness and the patterns of life: a study of geolocated tweets.
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幸福与生活的模式：对地理推文的研究。
DOI：
10.1038/srep02625
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发表时间：
2013
影响因子：
4.6
通讯作者：
Danforth CM
中科院分区：
文献类型：
--
作者：
Frank MR;Mitchell L;Dodds PS;Danforth CM
大量人口所表现出的生活模式已被描述和建模，既作为基础科学练习，又用于一系列应用目标，例如减少汽车拥堵、改善灾难响应，甚至预测个人的位置。然而，这些研究对对话内容的获取有限，使得表情的变化作为运动的函数变得不可见。此外，他们通常使用移动电话与其最近的天线塔之间的通信来推断位置，从而将数据的空间分辨率限制为每个手机塔所服务的地理区域。我们使用 3700 万条地理定位推文的集合来描述 180,000 人的运动模式，利用相对于之前的工作提高了几个数量级的空间精度。利用最近开发的情感分析工具“hedonometer”，我们将词语使用的变化描述为运动的函数，并发现表达的幸福感随着距个人平均位置的距离呈对数增加。
The patterns of life exhibited by large populations have been described and modeled both as a basic science exercise and for a range of applied goals such as reducing automotive congestion, improving disaster response, and even predicting the location of individuals. However, these studies have had limited access to conversation content, rendering changes in expression as a function of movement invisible. In addition, they typically use the communication between a mobile phone and its nearest antenna tower to infer position, limiting the spatial resolution of the data to the geographical region serviced by each cellphone tower. We use a collection of 37 million geolocated tweets to characterize the movement patterns of 180,000 individuals, taking advantage of several orders of magnitude of increased spatial accuracy relative to previous work. Employing the recently developed sentiment analysis instrument known as the hedonometer, we characterize changes in word usage as a function of movement, and find that expressed happiness increases logarithmically with distance from an individual's average location.
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影响因子：
3.7
作者：
Boillot A;Zoungas S;Mitchell P;Klein R;Klein B;Ikram MK;Klaver C;Wang JJ;Gopinath B;Tai ES;Neubauer AS;Hercberg S;Brazionis L;Saw SM;Wong TY;Czernichow S;META-EYE Study Group
通讯作者：
META-EYE Study Group
影响因子：
4.3
作者：
Kitamura, R;Chen, C;Narayanan, R
通讯作者：
Narayanan, R
DOI：
10.1016/j.physa.2008.01.073
发表时间：
2008-05-01
影响因子：
3.3
作者：
Hidalgo, Cesar A.;Rodriguez-Sickert, C.
通讯作者：
Rodriguez-Sickert, C.
影响因子：
56.9
作者：
Eagle, Nathan;Macy, Michael;Claxton, Rob
通讯作者：
Claxton, Rob
影响因子：
3.5
作者：
Klafter, J;Shlesinger, MF;Zumofen, G
通讯作者：
Zumofen, G