• Previous Article
    Community detection in multiplex networks: A seed-centric approach
  • NHM Home
  • This Issue
  • Next Article
    Comparing series of rankings with ties by using complex networks: An analysis of the Spanish stock market (IBEX-35 index)
2015, 10(1): 87-99. doi: 10.3934/nhm.2015.10.87

Characterizing ethnic interactions from human communication patterns in Ivory Coast

1. 

Grupo de Sistemas Complejos, Universidad Politécnica de Madrid, ETSI Agrónomos, 28040, Madrid, Spain

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, Spain

4. 

Grupo de Sistemas Complejos, Universidad Politécnica de Madrid, ETSI Agrónomos, 28040, Madrid, Spain, Spain

Received  July 2014 Revised  December 2014 Published  February 2015

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. Networks & Heterogeneous Media, 2015, 10 (1) : 87-99. doi: 10.3934/nhm.2015.10.87
References:
[1]

, Annual Report 2011/2012,, 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).

[3]

V. D. Blondel et al., Data for development: The D4D challenge on mobile phone data,, , (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).

[5]

S. Bocaletti, V. Latora, Y. Moreno, M. Chavez and D.-U. Hwang, Complex networks: Structure and dynamics,, Phys. Rep., 424 (2006), 175. 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. doi: 10.1016/j.jocs.2010.12.007.

[7]

, Cote d'Ivoire Roads Shapefiles, Service from African Development Bank., Available from: , ().

[8]

Document de strategie pays et programe indicatif national pour la periode 2008-2013, Report from Communaute europeenne - Republique de Côte d'Ivoire, 2008., Available from: , ().

[9]

N. Eagle, M. Macy and R. Claxton, Network diversity and economic development,, Science, 328 (2010), 1029. doi: 10.1126/science.1186605.

[10]

T. Hastie, et al., The Elements of Statistical Learning,, Springer, (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.

[12]

M. P. Lewis, Ethnologue: Languages of the World,, $16^{th}$ edition, (2009).

[13]

M. Lim, R. Metzler and Y. Bar-Yam, Global pattern formation and ethnic/cultural violence,, Science, 317 (2007), 1540. 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. 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. doi: 10.1073/pnas.0601602103.

[16]

M. E. J. Newman, Mixing patterns in networks,, Physical Review E, 67 (2003). 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), (2014), 279. 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, (2010), 281. 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, (2010), 851. 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, (2012), 1. doi: 10.1145/2346496.2346498.

[22]

A. Wesolowski, et al., Quantifying the impact of human mobility on malaria,, Science, 338 (2012), 267.

[23]

, =, ().

show all references

References:
[1]

, Annual Report 2011/2012,, 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).

[3]

V. D. Blondel et al., Data for development: The D4D challenge on mobile phone data,, , (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).

[5]

S. Bocaletti, V. Latora, Y. Moreno, M. Chavez and D.-U. Hwang, Complex networks: Structure and dynamics,, Phys. Rep., 424 (2006), 175. 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. doi: 10.1016/j.jocs.2010.12.007.

[7]

, Cote d'Ivoire Roads Shapefiles, Service from African Development Bank., Available from: , ().

[8]

Document de strategie pays et programe indicatif national pour la periode 2008-2013, Report from Communaute europeenne - Republique de Côte d'Ivoire, 2008., Available from: , ().

[9]

N. Eagle, M. Macy and R. Claxton, Network diversity and economic development,, Science, 328 (2010), 1029. doi: 10.1126/science.1186605.

[10]

T. Hastie, et al., The Elements of Statistical Learning,, Springer, (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.

[12]

M. P. Lewis, Ethnologue: Languages of the World,, $16^{th}$ edition, (2009).

[13]

M. Lim, R. Metzler and Y. Bar-Yam, Global pattern formation and ethnic/cultural violence,, Science, 317 (2007), 1540. 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. 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. doi: 10.1073/pnas.0601602103.

[16]

M. E. J. Newman, Mixing patterns in networks,, Physical Review E, 67 (2003). 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), (2014), 279. 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, (2010), 281. 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, (2010), 851. 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, (2012), 1. doi: 10.1145/2346496.2346498.

[22]

A. Wesolowski, et al., Quantifying the impact of human mobility on malaria,, Science, 338 (2012), 267.

[23]

, =, ().

[1]

Massimiliano Zanin, Ernestina Menasalvas, Pedro A. C. Sousa, Stefano Boccaletti. Preprocessing and analyzing genetic data with complex networks: An application to Obstructive Nephropathy. Networks & Heterogeneous Media, 2012, 7 (3) : 473-481. doi: 10.3934/nhm.2012.7.473

[2]

Manel Hmimida, Rushed Kanawati. Community detection in multiplex networks: A seed-centric approach. Networks & Heterogeneous Media, 2015, 10 (1) : 71-85. doi: 10.3934/nhm.2015.10.71

[3]

Cesare Tronci. Hybrid models for perfect complex fluids with multipolar interactions. Journal of Geometric Mechanics, 2012, 4 (3) : 333-363. doi: 10.3934/jgm.2012.4.333

[4]

Alessia Marigo. Equilibria for data networks. Networks & Heterogeneous Media, 2007, 2 (3) : 497-528. doi: 10.3934/nhm.2007.2.497

[5]

Zhen Jin, Guiquan Sun, Huaiping Zhu. Epidemic models for complex networks with demographics. Mathematical Biosciences & Engineering, 2014, 11 (6) : 1295-1317. doi: 10.3934/mbe.2014.11.1295

[6]

Meihong Qiao, Anping Liu, Qing Tang. The dynamics of an HBV epidemic model on complex heterogeneous networks. Discrete & Continuous Dynamical Systems - B, 2015, 20 (5) : 1393-1404. doi: 10.3934/dcdsb.2015.20.1393

[7]

Mahendra Piraveenan, Mikhail Prokopenko, Albert Y. Zomaya. On congruity of nodes and assortative information content in complex networks. Networks & Heterogeneous Media, 2012, 7 (3) : 441-461. doi: 10.3934/nhm.2012.7.441

[8]

Francesca Sapuppo, Elena Umana, Mattia Frasca, Manuela La Rosa, David Shannahoff-Khalsa, Luigi Fortuna, Maide Bucolo. Complex spatio-temporal features in meg data. Mathematical Biosciences & Engineering, 2006, 3 (4) : 697-716. doi: 10.3934/mbe.2006.3.697

[9]

F. S. Vannucchi, S. Boccaletti. Chaotic spreading of epidemics in complex networks of excitable units. Mathematical Biosciences & Engineering, 2004, 1 (1) : 49-55. doi: 10.3934/mbe.2004.1.49

[10]

Chol-Ung Choe, Thomas Dahms, Philipp Hövel, Eckehard Schöll. Control of synchrony by delay coupling in complex networks. Conference Publications, 2011, 2011 (Special) : 292-301. doi: 10.3934/proc.2011.2011.292

[11]

Xiwei Liu, Tianping Chen, Wenlian Lu. Cluster synchronization for linearly coupled complex networks. Journal of Industrial & Management Optimization, 2011, 7 (1) : 87-101. doi: 10.3934/jimo.2011.7.87

[12]

David Hales, Stefano Arteconi. Motifs in evolving cooperative networks look like protein structure networks. Networks & Heterogeneous Media, 2008, 3 (2) : 239-249. doi: 10.3934/nhm.2008.3.239

[13]

A. Cascone, Alessia Marigo, B. Piccoli, L. Rarità. Decentralized optimal routing for packets flow on data networks. Discrete & Continuous Dynamical Systems - B, 2010, 13 (1) : 59-78. doi: 10.3934/dcdsb.2010.13.59

[14]

Nicolás M. Crisosto, Christopher M. Kribs-Zaleta, Carlos Castillo-Chávez, Stephen Wirkus. Community resilience in collaborative learning. Discrete & Continuous Dynamical Systems - B, 2010, 14 (1) : 17-40. doi: 10.3934/dcdsb.2010.14.17

[15]

Christopher M. Kribs-Zaleta. Sociological phenomena as multiple nonlinearities: MTBI's new metaphor for complex human interactions. Mathematical Biosciences & Engineering, 2013, 10 (5&6) : 1587-1607. doi: 10.3934/mbe.2013.10.1587

[16]

Giacomo Albi, Lorenzo Pareschi, Mattia Zanella. Opinion dynamics over complex networks: Kinetic modelling and numerical methods. Kinetic & Related Models, 2017, 10 (1) : 1-32. doi: 10.3934/krm.2017001

[17]

Jin-Liang Wang, Zhi-Chun Yang, Tingwen Huang, Mingqing Xiao. Local and global exponential synchronization of complex delayed dynamical networks with general topology. Discrete & Continuous Dynamical Systems - B, 2011, 16 (1) : 393-408. doi: 10.3934/dcdsb.2011.16.393

[18]

Regino Criado, Rosa M. Benito, Miguel Romance, Juan C. Losada. Preface: Mesoscales and evolution in complex networks: Applications and related topics. Networks & Heterogeneous Media, 2012, 7 (3) : i-iii. doi: 10.3934/nhm.2012.7.3i

[19]

Raoul-Martin Memmesheimer, Marc Timme. Stable and unstable periodic orbits in complex networks of spiking neurons with delays. Discrete & Continuous Dynamical Systems - A, 2010, 28 (4) : 1555-1588. doi: 10.3934/dcds.2010.28.1555

[20]

Suoqin Jin, Fang-Xiang Wu, Xiufen Zou. Domain control of nonlinear networked systems and applications to complex disease networks. Discrete & Continuous Dynamical Systems - B, 2017, 22 (6) : 2169-2206. doi: 10.3934/dcdsb.2017091

2017 Impact Factor: 1.187

Metrics

  • PDF downloads (2)
  • HTML views (0)
  • Cited by (1)

[Back to Top]