Twitter hashtags time series used in the paper "Universality, criticality and complexity of information propagation in social media"

<pre>These files contain the time series and the associated hashtags we obtained by sampling Twitter for our paper "Universality, criticality and complexity of information propagation on social media". The analysis is reported in https://www.nature.com/articles/s41467-022-28964-8 Please acknowledge the use of these data by citing the paper above. ################################# ################################# DATA ORGANIZATION We created a single zip file with all the time series and a single zip file with all the hashtags. There is a one-to-one correspondence between lines in the two files. ################################# ################################# FILES CONTENT As stated, here is a one-to-one correspondence between lines in the time series file and lines in the hashtags file, i.e., the hashtag stored in line X is the hashtag of the time series stored in line X. Time series are stored as follows: Ka t1 t2 t3 \n Kb t1 t2 t3 t4 t5 \n . . . Kn t1 t2 \n where: Ka, Kb,..., Kn is an integer specifying the number of events that compose the time series a, b,..., n respectively. In the example above we would have Ka=3, Kb=5, Kn=2. t1 t2 ... is the time series, i.e., a sequence of chronologically ordered interevent times. The last interevent time, in our implementation, represents the distance between the end of the temporal window and the last event time. It thus does not represent an event. As stated in the Supplemental Material of our paper, the temporal window ranges from 2019, October 1st to 2019, November 30th. </pre>

本数据集包含我们为论文《社交媒体上信息传播的普适性、临界性与复杂性》（Universality, criticality and complexity of information propagation on social media）通过对Twitter平台采样获取的时间序列（time series）与关联话题标签（hashtags）。相关分析成果已刊载于https://www.nature.com/articles/s41467-022-28964-8。若使用本数据集，请引用上述论文以表致谢。
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数据组织方式
我们将所有时间序列打包为单个zip压缩文件，同时将所有话题标签打包为另一单个zip压缩文件。两个文件的行之间存在一一对应关系。
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文件内容说明
如前所述，时间序列文件的行与话题标签文件的行一一对应，即第X行存储的话题标签对应第X行存储的时间序列。时间序列的存储格式如下：
Ka t1 t2 t3
Kb t1 t2 t3 t4 t5
. . . Kn t1 t2

其中：Ka、Kb……Kn为整数，分别表示对应时间序列a、b……n所包含的事件总数。在上述示例中，Ka=3、Kb=5、Kn=2。t1、t2……为时间序列，即按时间顺序排列的事件间间隔时间（interevent times）序列。在本研究的实现中，最后一个事件间间隔时间代表时间窗口（temporal window）结束时刻与最后一个事件发生时刻的间距，因此并不代表一个实际事件。如论文补充材料（Supplemental Material）所述，本次研究的时间窗口范围为2019年10月1日至2019年11月30日。