Using large-scale call detail records of anonymised mobile phone service subscribers with demographic and location information, we investigate how a long-distance residential move within the country affects the mobile communication patterns between an ego who moved and a frequently called alter who did not move. By using clustering methods in analysing the call frequency time series, we find that such ego-alter pairs are grouped into two clusters, those with the call frequency increasing and those with the call frequency decreasing after the move of the ego. This indicates that such residential moves are correlated with a change in the communication pattern soon after moving. We find that the pre-move calling behaviour is a relevant predictor for the post-move calling behaviour. While demographic and location information can help in predicting whether the call frequency will rise or decay, they are not relevant in predicting the actual call frequency volume. We also note that at four months after the move, most of these close pairs maintain contact, even if the call frequency is decreased.

使用带有人口统计和位置信息的匿名移动电话服务订户的大规模呼叫详细记录，我们调查了该国境内的长途住宅搬迁如何影响搬迁的自我与不住的经常被叫的变更之间的移动通信模式。通过使用聚类方法分析呼叫频率时间序列，我们发现这些自我改变对被分为两个集群，自我移动后，呼叫频率增加，呼叫频率降低。这表明这种居住移动与移动后不久的通信模式的变化相关。我们发现，移动前的呼叫行为与移动后的呼叫行为有关。虽然人口统计和位置信息可以帮助预测呼叫频率是上升还是下降，但它们与预测实际呼叫频率量无关。我们还注意到，在移动之后的四个月中，即使通话频率降低了，大多数近距离对仍保持联系。