Abstract
In this chapter, we contribute a methodological framework for measuring integration through the lens of spatial and social segregation using CDR data. We illustrate the application of this framework using the datasets provided by Türk Telekom. Integration is one of the main durable solutions to refugee crises recognized by the UN High Commissioner for Refugees (UNHCR). It is a complex and gradual legal, economic, social and cultural process that burdens both the settling population, and the receiving society. Successful integration requires actions from a variety of stakeholders (including different levels of government, NGOs, welfare service providers, etc.), which can make evaluating the outcomes of targeted programmes and policies extremely difficult. While these generally differ from country to country, UNHCR recognizes a need for standardized indicators that can be used to compare integration across countries and regions, and to assess the success of various efforts. Here, we show how segregation, isolation and homophily can be measured by deriving population estimates from CDRs, and how the evolution of refugees’ communication patterns and mobility traces can provide initial insights into their social integration.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Notes
- 1.
Note that according to [9] (p. 92), integration is more generally the aspiration of a majority of refugees worldwide.
- 2.
Note that phone user populations may represent biased samples of the total population. For a review of possible biases, refer to [35].
- 3.
Technically speaking, according to the way we determine the location of callers, a more precise formulation would be: refugees in these districts radiate from areas where there are low concentrations of citizens (see Sect. 8.3).
- 4.
All maps and visualizations discussed here are available in high resolution at https://d4r-turktelekom.unglobalpulse.net/.
References
(1951) Convention relating to the status of refugees (189 U.N.T.S. 150, entered into force April 22, 1954). http://www1.umn.edu/humanrts/instree/ainstls1.htm
(2013) Refugee integration and the use of indicators: evidence from Central Europe. http://www.refworld.org/pdfid/532164584.pdf
(2016) EU-Turkey statement, 18 March 2016. https://www.consilium.europa.eu/en/press/press-releases/2016/03/18/eu-turkey-statement/
(2017a) Emergency social safety net: Quarter 4 2017 monitoring report. https://data2.unhcr.org/en/documents/download/62568
(2017b) UNHCR Turkey fact sheet. https://goo.gl/FpAHeC
(2017c) UNHCR Turkey: provincial breakdown Syrian refugees in Turkey. https://data2.unhcr.org/en/documents/download/61354
(2017d) UNHCR Turkey: Syrian refugee camps and provincial breakdown of Syrian refugees registered in South East Turkey. http://www.refworld.org/pdfid/5a2fb20d4.pdf
(2018b) International recommendations on refugees statistics. Technical report. https://ec.europa.eu/eurostat/web/products-manuals-and-guidelines/-/KS-GQ-18-004
Alexander L, Jiang S, Murga M, Gonzalez MC (2015) Origin–destination trips by purpose and time of day inferred from mobile phone data. Transp Res Part C Emerg Technol 58. https://doi.org/10.1016/j.trc.2015.02.018
Balkan B, Tok EO, Torun H, Tumen S (2018) Immigration, housing rents, and residential segregation: evidence from Syrian refugees in Turkey. IZA Discussion Papers 11611, Institute for the Study of Labor (IZA). https://ideas.repec.org/p/iza/izadps/dp11611.html
Bell W (1954) A probability model for the measurement of ecological segregation. Soc Forces 32(4):357–364. http://www.jstor.org/stable/2574118
Bernstein H (2018) Bringing evidence to the refugee integration debate. http://tiny.cc/q3ov2y
Blumenstock J, Fratamico L (2013) Social and spatial ethnic segregation: a framework for analyzing segregation with large-scale spatial network data. In: Proceedings of the 4th annual symposium on computing for development, ACM DEV-4 2013, ACM, New York, NY, USA, pp 11:1–11:10. https://doi.org/10.1145/2537052.2537061
Bonnel P, Hombourger E, Olteanu-Raimond AM, Smoreda Z (2015) Passive mobile phone dataset to construct origin-destination matrix: potentials and limitations. Transp Res Procedia 11:381–398. https://doi.org/10.1016/j.trpro.2015.12.032, http://www.sciencedirect.com/science/article/pii/S2352146515003233
Carrington PJ (2016) Log-linear distance models of homophily in small groups. Methodol Innov 9:2059799115622746. https://doi.org/10.1177/2059799115622746
Cascetta E, Carten A, Montanino M (2016) A behavioral model of accessibility based on the number of available opportunities. J Transp Geogr 51:45–58. https://doi.org/10.1016/j.jtrangeo.2015.11.002, http://www.sciencedirect.com/science/article/pii/S0966692315002045
Coleman JS (1958) Relational analysis: the study on social organization with survey methods. Hum Organ 17:28–36. https://doi.org/10.17730/humo.17.4.q5604m676260q8n7
Cortese CF, Falk RF, Cohen JK (1976) Further considerations on the methodological analysis of segregation indices. Am Sociol Rev 41(4):630–637. http://www.jstor.org/stable/2094840
Currarini S, Jackson MO, Pin P (2009) An economic model of friendship: homophily, minorities, and segregation. Econometrica 77(4):1003–1045. https://doi.org/10.3982/ECTA7528
Currarini S, Matheson J, Vega-Redondo F (2016) A simple model of homophily in social networks. Eur Econ Rev 90:18–39. https://doi.org/10.1016/j.euroecorev.2016.03.011, http://www.sciencedirect.com/science/article/pii/S0014292116300642. (social identity and discrimination)
de Montjoye YA, Quoidbach J, Robic F, Pentland AS (2013) Predicting personality using novel mobile phone-based metrics. In: Greenberg AM, Kennedy WG, Bos ND (eds) Social computing. Behavioral-cultural modeling and prediction. Springer, Heidelberg, pp 48–55
Deville P, Linard C, Martin S, Gilbert M, Stevens FR, Gaughan AE, Blondel VD, Tatem AJ (2014) Dynamic population mapping using mobile phone data. Proc Natl Acad Sci 111(45):15888–15893. https://doi.org/10.1073/pnas.1408439111, https://www.pnas.org/content/111/45/15888.full.pdf
Duncan OD, Duncan B (1955) A methodological analysis of segregation indexes. Am Sociol Rev 20(2):210–217. http://www.jstor.org/stable/2088328
Freeman LC (1978) Segregation in social networks. Sociol Methods Res 6(4):411–429. https://doi.org/10.1177/004912417800600401
Herrera-Yagüe C, Schneider CM, Couronné T, Smoreda Z, Benito RM, Zufiria PJ, González MC (2015) The anatomy of urban social networks and its implications in the searchability problem. arxiv:abs/1506.00770
Iceland J, Weinberg DH (2002) Racial and ethnic residential segregation in the United States 1980–2000. Bureau of Census
Iceland J, Weinberg DH, Steinmetz E (2002) Racial and ethnic residential segregation in the United States, 1980–2000
Iqbal MS, Choudhury C, Wang P, Gonzalez MC (2014) Development of origindestination matrices using mobile phone call data. Transp Res Part C Emerg Technol 40:6374. https://doi.org/10.1016/j.trc.2014.01.002
Kunz EF (1981) Part II: the analytic framework: exile and resettlement: refugee theory. Int Migr Rev 15:42–51. https://doi.org/10.1177/0197918381015001-207
Massey DS, Denton NA (1988) The dimensions of residential segregation. Soc Forces 67(2):281–315. http://www.jstor.org/stable/2579183
McPherson M, Smith-Lovin L, Cook JM (2001) Birds of a feather: homophily in social networks. Annu Rev Sociol 27(1):415–444. https://doi.org/10.1146/annurev.soc.27.1.415
Nurmi P (2012) Data analysis from mobile networks. https://goo.gl/WBSF3m
Pestre G, Letouzé E, Zagheni E (2016) The ABCDE of big data: assessing biases in call-detail records for development estimates. In: Annual world bank conference on development economics
Salah AA, Pentland A, Lepri B, Letouzé E, Vinck P, de Montjoye Y, Dong X, Dagdelen Ö (2018) Data for refugees: the D4R challenge on mobility of Syrian refugees in Turkey. arxiv:abs/1807.00523
Stopczynski A, Sekara V, Sapiezynski P, Cuttone A, Madsen MM, Larsen JE, Lehmann S (2014) Measuring large-scale social networks with high resolution. PloS One 9(4):1–24. https://doi.org/10.1371/journal.pone.0095978
Valtonen K (2004) From the margin to the mainstream: conceptualizing refugee settlement processes. J Refug Stud 17(1):70–96. https://doi.org/10.1093/jrs/17.1.70, http://oup.prod.sis.lan/jrs/article-pdf/17/1/70/4441369/170070.pdf
Vanhoof M, Reis F, Ploetz T, Smoreda Z (2018a) Assessing the quality of home detection from mobile phone data for official statistics. arxiv:abs/1809.07567
Vanhoof M, Reis F, Smoreda Z, Ploetz T (2018b) Detecting home locations from CDR data: introducing spatial uncertainty to the state-of-the-art. arxiv:abs/1808.06398
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2019 Springer Nature Switzerland AG
About this chapter
Cite this chapter
Boy, J., Pastor-Escuredo, D., Macguire, D., Moreno Jimenez, R., Luengo-Oroz, M. (2019). Towards an Understanding of Refugee Segregation, Isolation, Homophily and Ultimately Integration in Turkey Using Call Detail Records. In: Salah, A., Pentland, A., Lepri, B., Letouzé, E. (eds) Guide to Mobile Data Analytics in Refugee Scenarios. Springer, Cham. https://doi.org/10.1007/978-3-030-12554-7_8
Download citation
DOI: https://doi.org/10.1007/978-3-030-12554-7_8
Published:
Publisher Name: Springer, Cham
Print ISBN: 978-3-030-12553-0
Online ISBN: 978-3-030-12554-7
eBook Packages: Computer ScienceComputer Science (R0)