Loading [Contrib]/a11y/accessibility-menu.js
Search Advanced

Networks and Heterogeneous Media

2015, Volume 10, Issue 1: 87-99. doi: 10.3934/nhm.2015.10.87
Previous Article Next Article

Characterizing ethnic interactions from human communication patterns in Ivory Coast

  • 1.
    Grupo de Sistemas Complejos, Universidad Politécnica de Madrid, ETSI Agrónomos, 28040, Madrid
  • 2.
    Departamento de Electrónica, Universidad Técnica Federico Santa María, Av. España 1680, Valparaíso
  • 3.
    Grupo de Sistemas Complejos, Universidad Politécnica de Madrid, ETSI Agrónomos, 28040, Madrid
  • 4.
    Grupo de Sistemas Complejos, Universidad Politécnica de Madrid, ETSI Agrónomos, 28040, Madrid
  • Received: 01 July 2014 Revised: 01 December 2014

  • 91D30, 05C82, 91C20.

  • Towards the consolidation of peace and national development, Ivory Coast must overcome the lack of cohesion, responsible for the emergence of two civil wars in the last years. As in many African countries, ethnic violence is a result of the way territories are organized and the prevalence of some groups over others. Nowadays the increasing availability of electronic data allows to quantify and unveil societal relationships in an unprecedented way. In this sense, the present work analyzes mobile phone data in order to provide information about the regional and ethnic interactions in Ivory Coast. We accomplish so by means of the construction and analysis of complex social networks with several types of interactions, such as calling activity and human mobility. We found that in a subregional scale, the ethnic identity plays an important role in the communication patterns, while at the interregional scale, other factors arise like economical interests and available infrastructure.

    Citation: Alfredo Jose Morales, Werner Creixell, Javier Borondo, Juan Carlos Losada, Rosa Maria Benito. Characterizing ethnic interactions from human communication patterns in Ivory Coast[J]. Networks and Heterogeneous Media, 2015, 10(1): 87-99. doi: 10.3934/nhm.2015.10.87

    Related Papers:

  • Towards the consolidation of peace and national development, Ivory Coast must overcome the lack of cohesion, responsible for the emergence of two civil wars in the last years. As in many African countries, ethnic violence is a result of the way territories are organized and the prevalence of some groups over others. Nowadays the increasing availability of electronic data allows to quantify and unveil societal relationships in an unprecedented way. In this sense, the present work analyzes mobile phone data in order to provide information about the regional and ethnic interactions in Ivory Coast. We accomplish so by means of the construction and analysis of complex social networks with several types of interactions, such as calling activity and human mobility. We found that in a subregional scale, the ethnic identity plays an important role in the communication patterns, while at the interregional scale, other factors arise like economical interests and available infrastructure.


    [1] Report from International Cocoa Organization (ICCO).
    [2] L. Bengtsson, X. Lu, A. Thorson, R. Garfield and J. von Schreeb, Improved response to disasters and outbreaks by tracking population movements with mobile phone network data: A post-earthquake geospatial study in Haiti, PLoS Medicine, 8 (2011), e1001083.
    [3] V. D. Blondel et al., Data for development: The D4D challenge on mobile phone data, arXiv:1210.0137, 2012.
    [4] V. D. Blondel, J.-L. Guillaume, R. Lambiotte and E. Lefebvre, Fast unfolding of communities in large networks, J. Stat. Mech., 10 (2008), P10008.
    [5] S. Bocaletti, V. Latora, Y. Moreno, M. Chavez and D.-U. Hwang, Complex networks: Structure and dynamics, Phys. Rep., 424 (2006), 175-308. doi: 10.1016/j.physrep.2005.10.009
    [6] J. Bollen, H. Mao and X.-J. Zeng, Twitter mood predicts the stock market, J. Comput. Science, 2 (2011), 1-8. doi: 10.1016/j.jocs.2010.12.007
    [7] Available from: http://www.infrastructureafrica.org/library/doc/986/cote-divoire-roads.
    [8] Available from: http://ec.europa.eu/development/icenter/repository/scanned\_ci\_csp10\_fr.pdf.
    [9] N. Eagle, M. Macy and R. Claxton, Network diversity and economic development, Science, 328 (2010), 1029-1031. doi: 10.1126/science.1186605
    [10] T. Hastie, et al., The Elements of Statistical Learning, Springer, New York, 2009. doi: 10.1007/978-0-387-84858-7
    [11] D. Lazer, et al., Life in the network: The coming age of computational social science, Science, 323 (2009), 721-723.
    [12] M. P. Lewis, Ethnologue: Languages of the World, $16^{th}$ edition, SIL International, Dallas, Tex., 2009.
    [13] M. Lim, R. Metzler and Y. Bar-Yam, Global pattern formation and ethnic/cultural violence, Science, 317 (2007), 1540-1544. doi: 10.1126/science.1142734
    [14] A. J. Morales, J. Borondo, J. C. Losada and R. M. Benito, Efficiency of human activity on information spreading on Twitter, Social Networks, 39 (2014), 1-11. doi: 10.1016/j.socnet.2014.03.007
    [15] M. E. J. Newman, Modularity and community structure in networks, Phys. Rev. E, 103 (2006), 8577-8582. doi: 10.1073/pnas.0601602103
    [16] M. E. J. Newman, Mixing patterns in networks, Physical Review E, 67 (2003), 026126, 13pp. doi: 10.1103/PhysRevE.67.026126
    [17] D. Pastor, A. J. Morales, Y. Torres, J. Bauer, A. Wadhwa, C. Castro-Correa, A. Calderón-Mariscal, L. Romanoff, J. Lee, A. Rutherford, V. Frias-Martinez, N. Oliver, E. Frias-Martinez and M. Luengo-Oroz, Flooding through the lens of mobile phone activity, in IEEE Global Humanitarian Technology Conference (GHTC), IEEE, 2014, 279-286. doi: 10.1109/GHTC.2014.6970293
    [18] A. Pentland, Social Physics: How Good Ideas Spread. The Lessons From a New Science, Penguin Group (USA) Incorporated, 2014.
    [19] K. K. Rachuri, M. Musolesi, C. Mascolo, P. J. Rentfrow, C. Longworth and A. Aucinas, EmotionSense: A mobile phones based adaptive platform for experimental social psychology research, Proceedings of the 12th ACM International Conference on Ubiquitous Computing (New York, NY, USA), Ubicomp '10, ACM, 2010, 281-290. doi: 10.1145/1864349.1864393
    [20] T. Sakaki, M. Okazaki and Y. Matsuo, Earthquake shakes twitter users: Real-time event detection by social sensors, Proceedings of the 19th International Conference on World Wide Web (New York, NY, USA), WWW '10, ACM, 2010, 851-860. doi: 10.1145/1772690.1772777
    [21] J. L. Toole, M. Ulm, M. C González and D. Bauer, Inferring land use from mobile phone activity, in Proceedings of the ACM SIGKDD International Workshop on Urban Computing, ACM, 2012, 1-8. doi: 10.1145/2346496.2346498
    [22] A. Wesolowski, et al., Quantifying the impact of human mobility on malaria, Science, 338 (2012), 267-270.
    [23] ="http://www.gsc.upm.es/materiales/videos/" target="_blank">http://www.gsc.upm.es/materiales/videos/

  • This article has been cited by:

    1. Mohammed Okmi, Lip Yee Por, Tan Fong Ang, Chin Soon Ku, Mobile Phone Data: A Survey of Techniques, Features, and Applications, 2023, 23, 1424-8220, 908, 10.3390/s23020908
    2. Leila Hedayatifar, Alfredo J. Morales, Yaneer Bar-Yam, Geographical fragmentation of the global network of Twitter communications, 2020, 30, 1054-1500, 073133, 10.1063/1.5143256
    3. S. Martin-Gutierrez, J. Borondo, A. J. Morales, J. C. Losada, A. M. Tarquis, R. M. Benito, 2016, Agricultural activity shapes the mobility patterns in Senegal, 978-1-5090-2846-7, 634, 10.1109/ASONAM.2016.7752303
    4. Jacob Levy Abitbol, Alfredo J. Morales, Socioeconomic Patterns of Twitter User Activity, 2021, 23, 1099-4300, 780, 10.3390/e23060780
    5. Arif Mohaimin Sadri, Samiul Hasan, Satish V. Ukkusuri, Juan Esteban Suarez Lopez, Analysis of social interaction network properties and growth on Twitter, 2018, 8, 1869-5450, 10.1007/s13278-018-0533-y
    6. Joao Palotti, Natalia Adler, Alfredo Morales-Guzman, Jeffrey Villaveces, Vedran Sekara, Manuel Garcia Herranz, Musa Al-Asad, Ingmar Weber, Federico Botta, Monitoring of the Venezuelan exodus through Facebook’s advertising platform, 2020, 15, 1932-6203, e0229175, 10.1371/journal.pone.0229175
    7. S. Martin-Gutierrez, J. Borondo, A. J. Morales, J. C. Losada, A. M. Tarquis, R. M. Benito, Agricultural activity shapes the communication and migration patterns in Senegal, 2016, 26, 1054-1500, 065305, 10.1063/1.4952961
    8. Mohammed Okmi, Lip Yee Por, Tan Fong Ang, Ward Al-Hussein, Chin Soon Ku, A Systematic Review of Mobile Phone Data in Crime Applications: A Coherent Taxonomy Based on Data Types and Analysis Perspectives, Challenges, and Future Research Directions, 2023, 23, 1424-8220, 4350, 10.3390/s23094350
    9. Kavous Salehzadeh Niksirat, Collins W. Munyendo, Onicio Batista Leal Neto, Muswagha Katya, Cyrille Kouassi, Kevin Ochieng, Angoa Georgina, Bernard Olayo, Jean-Philippe Barras, Ciro Cattuto, Adam J. Aviv, Carmela Troncoso, 2025, Reimagining Wearable-Based Digital Contact Tracing: Insights from Kenya and Côte d'Ivoire, 9798400713941, 1, 10.1145/3706598.3713817
  • Reader Comments
  • © 2015 the Author(s), licensee AIMS Press. This is an open access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0)
通讯作者: 陈斌, bchen63@163.com
  • 1. 

    沈阳化工大学材料科学与工程学院 沈阳 110142

  1. 本站搜索
  2. 百度学术搜索
  3. 万方数据库搜索
  4. CNKI搜索
Networks and Heterogeneous Media
1.3 1.9

Metrics

Article views(5293) PDF downloads(104) Cited by(9)

Preview PDF
Download XML
Export Citation
Article outline
Abstract
References

Other Articles By Authors

Related pages

Tools

/

DownLoad:  Full-Size Img  PowerPoint
Return
Return

Catalog