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.
翻译:使用具有人口和位置信息的匿名移动电话服务用户的大规模电话详细记录,我们调查国内长距离居民移动如何影响移动自我与经常被称作改变没有移动的移动之间的移动通信模式。我们发现,通过使用集群方法分析呼叫频率时间序列,这种自我分配的对子被分为两类,即呼叫频率增加的对子和在自我移动后呼叫频率下降的对子。这表明这种住宅移动与移动后不久的通信模式变化相关联。我们发现,移动前的呼叫行为是移动后呼叫行为的相关预测。虽然人口和位置信息有助于预测呼叫频率会上升还是衰变,但与预测实际呼叫频率数量无关。我们还注意到,在移动后四个月,即使呼叫频率降低,大多数这些亲密的对子仍然保持联系。