自我中心通信网络中的相关动力学
Correlated dynamics in egocentric communication networks
摘要：
我们调查了数百万人通过两种不同渠道的通信序列，并分析了由单个个体引起的相关事件串的细粒度时间结构。通过关注异质动力学和自我中心网络拓扑结构之间的相关性，我们发现突发性列车通常是针对成对的个体而不是针对自我和他/她的几个邻居进化的，因此突发性是链路而不是节点的属性。我们比较了突发列车内的电话和短消息的方向平衡的平均实际链路上，并表明，对于列车的语音呼叫的不平衡显着增强，而短消息的列车内的平衡增加。这些影响可以部分地追溯到技术限制（对于短消息），部分地追溯到人类行为特征（语音呼叫）。我们定义了一个模型，能够再现的实证结果，并可能有助于我们更好地了解驱动技术介导的人类通信动态的机制。
英文摘要：
We investigate the communication sequences of millions of people through two different channels and analyze the fine grained temporal structure of correlated event trains induced by single individuals. By focusing on correlations between the heterogeneous dynamics and the topology of egocentric networks we find that the bursty trains usually evolve for pairs of individuals rather than for the ego and his/her several neighbors thus burstiness is a property of the links rather than of the nodes. We compare the directional balance of calls and short messages within bursty trains to the average on the actual link and show that for the trains of voice calls the imbalance is significantly enhanced, while for short messages the balance within the trains increases. These effects can be partly traced back to the technological constrains (for short messages) and partly to the human behavioral features (voice calls). We define a model that is able to reproduce the empirical results and may help us to understand better the mechanisms driving technology mediated human communication dynamics.
机构、总结、中文摘要均由AI分析而来，可能存在错误，请以论文正文为准。
