The overwhelming amounts of data we generate in our daily routine and in social networks has been crucial for the understanding of various social and economic factors. The use of this data represents a low-cost alternative source of information in parallel to census data and surveys. Here, we advocate for such an approach to assess and alleviate the segregation of Syrian refugees in Turkey. Using a large dataset of mobile phone records provided by Turkey’s largest mobile phone service operator, Türk Telekom, in the frame of the Data 4 Refugees project, we define, analyse and optimise inter-group integration as it relates to the communication patterns of two segregated populations: refugees living in Turkey and the local Turkish population. Our main hypothesis is that making these two communities more similar (in our case, in terms of behaviour) may increase the level of positive exposure between them, due to the well-known sociological principle of homophily. To achieve this, working from the records of call and SMS origins and destinations between and among both populations, we develop an extensible, statistically-solid, and reliable framework to measure the differences between the communication patterns of two groups. In order to show the applicability of our framework, we assess how house mixing strategies, in combination with public and private investment, may help to overcome segregation. We first identify the districts of the Istanbul province where refugees and local population communication patterns differ in order to then utilise our framework to improve the situation. Our results show potential in this regard, as we observe a significant reduction of segregation while limiting, in turn, the consequences in terms of rent increase.

中文翻译：

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使用呼叫详细记录测量和缓解行为隔离

我们在日常工作和社交网络中生成的大量数据对于理解各种社会和经济因素至关重要。与人口普查数据和调查同时使用，该数据的使用代表了低成本的替代信息来源。在这里，我们主张采用这种方法来评估和减轻在土耳其的叙利亚难民的隔离。在数据4难民项目的框架内，使用土耳其最大的移动电话服务运营商TürkTelekom提供的大型移动电话记录数据集，我们定义，分析和优化了群体间的整合，因为它与两个隔离的通信模式有关人口：居住在土耳其的难民和当地的土耳其人口。我们的主要假设是使这两个社区更加相似（在我们的案例中，行为）可能会增加它们之间的正向暴露水平，这是由于众所周知的同伦社会学原理所致。为了实现这一目标，我们根据两个人群之间以及两者之间的呼叫和SMS始发地和目的地的记录，开发了一个可扩展的，统计可靠的可靠框架，以衡量两组之间的通信模式之间的差异。为了显示我们框架的适用性，我们评估了房屋混合策略与公共和私人投资相结合如何有助于克服种族隔离。我们首先确定伊斯坦布尔省的难民和当地人口交流方式不同的地区，然后利用我们的框架来改善局势。我们的结果显示出这方面的潜力，