American Institute of Mathematical Sciences

Advanced
April  2016, 3(2): 191-216. doi: 10.3934/jdg.2016010

Conflict and segregation in networks: An experiment on the interplay between individual preferences and social influence

Lea Ellwardt 1, , Penélope Hernández 2, , Guillem Martínez-Cánovas 2, and  Manuel Muñoz-Herrera 2,

1. 

Institute of Sociology and Social Psychology, University of Cologne, Cologne, Germany
2. 

ERI-CES, Departamento de Análisis Económico, Universitat de Valencia, Avenida Los Naranjos s/n, Campus de Tarongers, Valencia, 46022, Spain, Spain, Spain

Received  February 2016 Revised  April 2016 Published  April 2016

We examine the interplay between a person's individual preference and the social influence others exert. We provide a model of network relationships with conflicting preferences, where individuals are better off coordinating with those around them, but where not all have a preference for the same action. We test our model in an experiment, varying the level of conflicting preferences between individuals. Our findings suggest that preferences are more salient than social influence, under conflicting preferences: subjects relate mainly with others who have the same preferences. This leads to two undesirable outcomes: network segregation and social inefficiency. The same force that helps people individually, hurts society.
Keywords: equilibrium selection., Heterogeneity, formation, social networks.
Mathematics Subject Classification: Primary: 91A90; Secondary: 91A4.
Citation: Lea Ellwardt, Penélope Hernández, Guillem Martínez-Cánovas, Manuel Muñoz-Herrera. Conflict and segregation in networks: An experiment on the interplay between individual preferences and social influence. Journal of Dynamics & Games, 2016, 3 (2) : 191-216. doi: 10.3934/jdg.2016010
References:
[1]

G. A. Akerlof and R. E. Kranton, Economics and identity,, The Quarterly Journal of Economics, 115 (2000), 715.  doi: 10.1515/9781400834181.  Google Scholar

[2]

G. A. Akerlof and R. E. Kranton, Identity and schooling: Some lessons for the economics of education,, Journal of economic literature, 40 (2002), 1167.  doi: 10.1257/.40.4.1167.  Google Scholar

[3]

G. A. Akerlof and R. E. Kranton, Identity and the economics of organizations,, The Journal of Economic Perspectives, 19 (2005), 9.  doi: 10.1257/0895330053147930.  Google Scholar

[4]

G. A. Akerlof and R. E. Kranton, Identity Economics: How Our Identities Shape Our Work, Wages, and Well-Being,, Princeton University Press, (2010).   Google Scholar

[5]

V. Bala and S. Goyal, A noncooperative model of network formation,, Econometrica, 68 (2000), 1181.  doi: 10.1111/1468-0262.00155.  Google Scholar

[6]

C. Ballester, A. Calvó-Armengol and Y. Zenou, Who's who in networks. wanted: The key player,, Econometrica, 74 (2006), 1403.  doi: 10.1111/j.1468-0262.2006.00709.x.  Google Scholar

[7]

H. Bernhard, E. Fehr and U. Fischbacher, Group affiliation and altruistic norm enforcement,, The American Economic Review, 96 (2006), 217.  doi: 10.1257/000282806777212594.  Google Scholar

[8]

M. Billig and H. Tajfel, Social categorization and similarity in intergroup behaviour,, European Journal of Social Psychology, 3 (1973), 27.  doi: 10.1002/ejsp.2420030103.  Google Scholar

[9]

M. B. Brewer, In-group bias in the minimal intergroup situation: A cognitive-motivational analysis,, Psychological bulletin, 86 (1979), 307.  doi: 10.1037/0033-2909.86.2.307.  Google Scholar

[10]

A. Calvó-Armengol and R. İlkılıç, Pairwise-stability and nash equilibria in network formation,, International Journal of Game Theory, 38 (2009), 51.  doi: 10.1007/s00182-008-0140-7.  Google Scholar

[11]

C. Camerer, Behavioral Game Theory: Experiments in Strategic Interaction,, Princeton University Press, (2003).   Google Scholar

[12]

G. Charness, L. Rigotti and A. Rustichini, Individual behavior and group membership,, The American Economic Review, (): 1340.  doi: 10.2139/ssrn.894685.  Google Scholar

[13]

Y. Chen and S. X. Li, Group identity and social preferences,, The American Economic Review, 99 (2009), 431.  doi: 10.1257/aer.99.1.431.  Google Scholar

[14]

G. Ellison, Learning, local interaction, and coordination,, Econometrica, 61 (1993), 1047.  doi: 10.2307/2951493.  Google Scholar

[15]

J. Farrell and M. Rabin, Cheap talk,, Journal of Economic Perspectives, 10 (1996), 103.  doi: 10.1257/jep.10.3.103.  Google Scholar

[16]

U. Fischbacher, z-tree: Zurich toolbox for ready-made economic experiments,, Experimental economics, 10 (2007), 171.  doi: 10.1007/s10683-006-9159-4.  Google Scholar

[17]

A. Galeotti, S. Goyal, M. Jackson, F. Vega-Redondo and L. Yariv, Network games,, Review of Economic Studies, 77 (2010), 218.  doi: 10.1111/j.1467-937X.2009.00570.x.  Google Scholar

[18]

L. Goette, D. Huffman and S. Meier, The impact of group membership on cooperation and norm enforcement: Evidence using random assignment to real social groups,, The American economic review, 96 (2006), 212.  doi: 10.1257/000282806777211658.  Google Scholar

[19]

S. Goyal, Connections: An Introduction to the Economics of Networks,, Princeton University Press, (2007).   Google Scholar

[20]

M. Granovetter, Threshold models of collective behavior,, American journal of sociology, 83 (1978), 1420.  doi: 10.1086/226707.  Google Scholar

[21]

P. Hernández, M. Muñoz-Herrera and Á. Sánchez, Heterogeneous network games,, Games and Economic Behavior, 79 (2013).  doi: 10.1016/j.geb.2013.01.004.  Google Scholar

[22]

M. O. Jackson, A survey of network formation models: Stability and efficiency,, Group Formation in Economics: Networks, (2010), 11.  doi: 10.1017/CBO9780511614385.002.  Google Scholar

[23]

M. O. Jackson, Networks and economic behavior,, Annu. Rev. Econ., 1 (2009), 489.  doi: 10.1146/annurev.economics.050708.143238.  Google Scholar

[24]

M. O. Jackson, Social and Economic Networks,, Princeton University Press, (2008).   Google Scholar

[25]

M. O. Jackson and A. Watts, The existence of pairwise stable networks,, Seoul Journal of Economics., ().   Google Scholar

[26]

M. O. Jackson and A. Watts, On the formation of interaction networks in social coordination games,, Games and Economic Behavior, 41 (2002), 265.  doi: 10.1016/S0899-8256(02)00504-3.  Google Scholar

[27]

M. O. Jackson and A. Wolinsky, A strategic model of social and economic networks,, Journal of economic theory, 71 (1996), 44.  doi: 10.1006/jeth.1996.0108.  Google Scholar

[28]

M. Kandori, G. J. Mailath and R. Rob, Learning, mutation, and long run equilibria in games,, Econometrica: Journal of the Econometric Society, 61 (1993), 29.  doi: 10.2307/2951777.  Google Scholar

[29]

G. J. Leonardelli and M. B. Brewer, Minority and majority discrimination: When and why,, Journal of Experimental Social Psychology, 37 (2001), 468.  doi: 10.1006/jesp.2001.1475.  Google Scholar

[30]

D. López-Pintado, Contagion and coordination in random networks,, International Journal of Game Theory, 34 (2006), 371.  doi: 10.1007/s00182-006-0026-5.  Google Scholar

[31]

P. V. Marsden, Network diversity, substructures, and opportunities for contact,, Structures of power and constraint: Papers in honor of Peter Blau, (): 397.   Google Scholar

[32]

M. McPherson, L. Smith-Lovin and J. M. Cook, Birds of a feather: Homophily in social networks,, Annual review of sociology, 27 (2001), 415.  doi: 10.1146/annurev.soc.27.1.415.  Google Scholar

[33]

S. Morris, Contagion,, The Review of Economic Studies, 67 (2000), 57.  doi: 10.1111/1467-937X.00121.  Google Scholar

[34]

B. Mullen, R. Brown and C. Smith, Ingroup bias as a function of salience, relevance, and status: An integration,, European Journal of Social Psychology, 22 (1992), 103.  doi: 10.1002/ejsp.2420220202.  Google Scholar

[35]

M. Muñoz-Herrera, J. Dijkstra, A. Flache and R. Wittek, How specialization can breed social exclusion: A model of strategic interaction between pecialists and generalists in knowledge-intensive productive exchange,, Working Paper, ().   Google Scholar

[36]

T. Schelling, Micromotives and Macrobehavior,, New York: WW Norton, (1978).   Google Scholar

[37]

T. Snijders and R. J. Bosker, Multilevel Analysis: An Introduction to Basic and Applied Multilevel Analysis,, 2nd edition, (2012).   Google Scholar

[38]

H. Tajfel and J. C. Turner, An integrative theory of intergroup conflict,, The social psychology of intergroup relations, 33 (1979).   Google Scholar

[39]

J. C. Turner, Social categorization and social discrimination in the minimal group paradigm,, Differentiation between social groups: Studies in the social psychology of intergroup relations, (): 101.   Google Scholar

[40]

J. C. Turner, M. A. Hogg, P. J. Oakes, S. D. Reicher and M. S. Wetherell, Rediscovering the Social Group: A Self-Categorization Theory.,, Basil Blackwell, (1987).   Google Scholar

[41]

F. Vega-Redondo, Complex Social Networks, vol. 44,, Cambridge Univ Pr, (2007).  doi: 10.1017/CBO9780511804052.  Google Scholar

[42]

L. M. Verbrugge, The structure of adult friendship choices,, Social Forces, 56 (1977), 576.   Google Scholar

[43]

X. Vives, Games with strategic complementarities: New applications to industrial organization,, International Journal of Industrial Organization, 23 (2005), 625.  doi: 10.1016/j.ijindorg.2005.04.002.  Google Scholar

[44]

H. P. Young, The evolution of conventions,, Econometrica: Journal of the Econometric Society, 61 (1993), 57.  doi: 10.2307/2951778.  Google Scholar

show all references

References:
[1]

G. A. Akerlof and R. E. Kranton, Economics and identity,, The Quarterly Journal of Economics, 115 (2000), 715.  doi: 10.1515/9781400834181.  Google Scholar

[2]

G. A. Akerlof and R. E. Kranton, Identity and schooling: Some lessons for the economics of education,, Journal of economic literature, 40 (2002), 1167.  doi: 10.1257/.40.4.1167.  Google Scholar

[3]

G. A. Akerlof and R. E. Kranton, Identity and the economics of organizations,, The Journal of Economic Perspectives, 19 (2005), 9.  doi: 10.1257/0895330053147930.  Google Scholar

[4]

G. A. Akerlof and R. E. Kranton, Identity Economics: How Our Identities Shape Our Work, Wages, and Well-Being,, Princeton University Press, (2010).   Google Scholar

[5]

V. Bala and S. Goyal, A noncooperative model of network formation,, Econometrica, 68 (2000), 1181.  doi: 10.1111/1468-0262.00155.  Google Scholar

[6]

C. Ballester, A. Calvó-Armengol and Y. Zenou, Who's who in networks. wanted: The key player,, Econometrica, 74 (2006), 1403.  doi: 10.1111/j.1468-0262.2006.00709.x.  Google Scholar

[7]

H. Bernhard, E. Fehr and U. Fischbacher, Group affiliation and altruistic norm enforcement,, The American Economic Review, 96 (2006), 217.  doi: 10.1257/000282806777212594.  Google Scholar

[8]

M. Billig and H. Tajfel, Social categorization and similarity in intergroup behaviour,, European Journal of Social Psychology, 3 (1973), 27.  doi: 10.1002/ejsp.2420030103.  Google Scholar

[9]

M. B. Brewer, In-group bias in the minimal intergroup situation: A cognitive-motivational analysis,, Psychological bulletin, 86 (1979), 307.  doi: 10.1037/0033-2909.86.2.307.  Google Scholar

[10]

A. Calvó-Armengol and R. İlkılıç, Pairwise-stability and nash equilibria in network formation,, International Journal of Game Theory, 38 (2009), 51.  doi: 10.1007/s00182-008-0140-7.  Google Scholar

[11]

C. Camerer, Behavioral Game Theory: Experiments in Strategic Interaction,, Princeton University Press, (2003).   Google Scholar

[12]

G. Charness, L. Rigotti and A. Rustichini, Individual behavior and group membership,, The American Economic Review, (): 1340.  doi: 10.2139/ssrn.894685.  Google Scholar

[13]

Y. Chen and S. X. Li, Group identity and social preferences,, The American Economic Review, 99 (2009), 431.  doi: 10.1257/aer.99.1.431.  Google Scholar

[14]

G. Ellison, Learning, local interaction, and coordination,, Econometrica, 61 (1993), 1047.  doi: 10.2307/2951493.  Google Scholar

[15]

J. Farrell and M. Rabin, Cheap talk,, Journal of Economic Perspectives, 10 (1996), 103.  doi: 10.1257/jep.10.3.103.  Google Scholar

[16]

U. Fischbacher, z-tree: Zurich toolbox for ready-made economic experiments,, Experimental economics, 10 (2007), 171.  doi: 10.1007/s10683-006-9159-4.  Google Scholar

[17]

A. Galeotti, S. Goyal, M. Jackson, F. Vega-Redondo and L. Yariv, Network games,, Review of Economic Studies, 77 (2010), 218.  doi: 10.1111/j.1467-937X.2009.00570.x.  Google Scholar

[18]

L. Goette, D. Huffman and S. Meier, The impact of group membership on cooperation and norm enforcement: Evidence using random assignment to real social groups,, The American economic review, 96 (2006), 212.  doi: 10.1257/000282806777211658.  Google Scholar

[19]

S. Goyal, Connections: An Introduction to the Economics of Networks,, Princeton University Press, (2007).   Google Scholar

[20]

M. Granovetter, Threshold models of collective behavior,, American journal of sociology, 83 (1978), 1420.  doi: 10.1086/226707.  Google Scholar

[21]

P. Hernández, M. Muñoz-Herrera and Á. Sánchez, Heterogeneous network games,, Games and Economic Behavior, 79 (2013).  doi: 10.1016/j.geb.2013.01.004.  Google Scholar

[22]

M. O. Jackson, A survey of network formation models: Stability and efficiency,, Group Formation in Economics: Networks, (2010), 11.  doi: 10.1017/CBO9780511614385.002.  Google Scholar

[23]

M. O. Jackson, Networks and economic behavior,, Annu. Rev. Econ., 1 (2009), 489.  doi: 10.1146/annurev.economics.050708.143238.  Google Scholar

[24]

M. O. Jackson, Social and Economic Networks,, Princeton University Press, (2008).   Google Scholar

[25]

M. O. Jackson and A. Watts, The existence of pairwise stable networks,, Seoul Journal of Economics., ().   Google Scholar

[26]

M. O. Jackson and A. Watts, On the formation of interaction networks in social coordination games,, Games and Economic Behavior, 41 (2002), 265.  doi: 10.1016/S0899-8256(02)00504-3.  Google Scholar

[27]

M. O. Jackson and A. Wolinsky, A strategic model of social and economic networks,, Journal of economic theory, 71 (1996), 44.  doi: 10.1006/jeth.1996.0108.  Google Scholar

[28]

M. Kandori, G. J. Mailath and R. Rob, Learning, mutation, and long run equilibria in games,, Econometrica: Journal of the Econometric Society, 61 (1993), 29.  doi: 10.2307/2951777.  Google Scholar

[29]

G. J. Leonardelli and M. B. Brewer, Minority and majority discrimination: When and why,, Journal of Experimental Social Psychology, 37 (2001), 468.  doi: 10.1006/jesp.2001.1475.  Google Scholar

[30]

D. López-Pintado, Contagion and coordination in random networks,, International Journal of Game Theory, 34 (2006), 371.  doi: 10.1007/s00182-006-0026-5.  Google Scholar

[31]

P. V. Marsden, Network diversity, substructures, and opportunities for contact,, Structures of power and constraint: Papers in honor of Peter Blau, (): 397.   Google Scholar

[32]

M. McPherson, L. Smith-Lovin and J. M. Cook, Birds of a feather: Homophily in social networks,, Annual review of sociology, 27 (2001), 415.  doi: 10.1146/annurev.soc.27.1.415.  Google Scholar

[33]

S. Morris, Contagion,, The Review of Economic Studies, 67 (2000), 57.  doi: 10.1111/1467-937X.00121.  Google Scholar

[34]

B. Mullen, R. Brown and C. Smith, Ingroup bias as a function of salience, relevance, and status: An integration,, European Journal of Social Psychology, 22 (1992), 103.  doi: 10.1002/ejsp.2420220202.  Google Scholar

[35]

M. Muñoz-Herrera, J. Dijkstra, A. Flache and R. Wittek, How specialization can breed social exclusion: A model of strategic interaction between pecialists and generalists in knowledge-intensive productive exchange,, Working Paper, ().   Google Scholar

[36]

T. Schelling, Micromotives and Macrobehavior,, New York: WW Norton, (1978).   Google Scholar

[37]

T. Snijders and R. J. Bosker, Multilevel Analysis: An Introduction to Basic and Applied Multilevel Analysis,, 2nd edition, (2012).   Google Scholar

[38]

H. Tajfel and J. C. Turner, An integrative theory of intergroup conflict,, The social psychology of intergroup relations, 33 (1979).   Google Scholar

[39]

J. C. Turner, Social categorization and social discrimination in the minimal group paradigm,, Differentiation between social groups: Studies in the social psychology of intergroup relations, (): 101.   Google Scholar

[40]

J. C. Turner, M. A. Hogg, P. J. Oakes, S. D. Reicher and M. S. Wetherell, Rediscovering the Social Group: A Self-Categorization Theory.,, Basil Blackwell, (1987).   Google Scholar

[41]

F. Vega-Redondo, Complex Social Networks, vol. 44,, Cambridge Univ Pr, (2007).  doi: 10.1017/CBO9780511804052.  Google Scholar

[42]

L. M. Verbrugge, The structure of adult friendship choices,, Social Forces, 56 (1977), 576.   Google Scholar

[43]

X. Vives, Games with strategic complementarities: New applications to industrial organization,, International Journal of Industrial Organization, 23 (2005), 625.  doi: 10.1016/j.ijindorg.2005.04.002.  Google Scholar

[44]

H. P. Young, The evolution of conventions,, Econometrica: Journal of the Econometric Society, 61 (1993), 57.  doi: 10.2307/2951778.  Google Scholar

[1]

Xiaoshuang Xing, Gaofei Sun, Yong Jin, Wenyi Tang, Xiuzhen Cheng. Relay selection based on social relationship prediction and information leakage reduction for mobile social networks. Mathematical Foundations of Computing, 2018, 1 (4) : 369-382. doi: 10.3934/mfc.2018018
[2]

Werner Creixell, Juan Carlos Losada, Tomás Arredondo, Patricio Olivares, Rosa María Benito. Serendipity in social networks. Networks & Heterogeneous Media, 2012, 7 (3) : 363-371. doi: 10.3934/nhm.2012.7.363
[3]

Yuki Kumagai. Social networks and global transactions. Journal of Dynamics & Games, 2019, 6 (3) : 211-219. doi: 10.3934/jdg.2019015
[4]

Clinton Innes, Razvan C. Fetecau, Ralf W. Wittenberg. Modelling heterogeneity and an open-mindedness social norm in opinion dynamics. Networks & Heterogeneous Media, 2017, 12 (1) : 59-92. doi: 10.3934/nhm.2017003
[5]

Qingyan Shi, Junping Shi, Yongli Song. Hopf bifurcation and pattern formation in a delayed diffusive logistic model with spatial heterogeneity. Discrete & Continuous Dynamical Systems - B, 2019, 24 (2) : 467-486. doi: 10.3934/dcdsb.2018182
[6]

Sharon M. Cameron, Ariel Cintrón-Arias. Prisoner's Dilemma on real social networks: Revisited. Mathematical Biosciences & Engineering, 2013, 10 (5&6) : 1381-1398. doi: 10.3934/mbe.2013.10.1381
[7]

Robin Cohen, Alan Tsang, Krishna Vaidyanathan, Haotian Zhang. Analyzing opinion dynamics in online social networks. Big Data & Information Analytics, 2016, 1 (4) : 279-298. doi: 10.3934/bdia.2016011
[8]

Roger M. Nisbet, Kurt E. Anderson, Edward McCauley, Mark A. Lewis. Response of equilibrium states to spatial environmental heterogeneity in advective systems. Mathematical Biosciences & Engineering, 2007, 4 (1) : 1-13. doi: 10.3934/mbe.2007.4.1
[9]

Guowei Dai, Ruyun Ma, Haiyan Wang, Feng Wang, Kuai Xu. Partial differential equations with Robin boundary condition in online social networks. Discrete & Continuous Dynamical Systems - B, 2015, 20 (6) : 1609-1624. doi: 10.3934/dcdsb.2015.20.1609
[10]

Yi Xu, Qing Yang, Dianhui Chu. Exploring timeliness for accurate recommendation in location-based social networks. Mathematical Foundations of Computing, 2018, 1 (1) : 11-48. doi: 10.3934/mfc.2018002
[11]

Jingli Ren, Dandan Zhu, Haiyan Wang. Spreading-vanishing dichotomy in information diffusion in online social networks with intervention. Discrete & Continuous Dynamical Systems - B, 2019, 24 (4) : 1843-1865. doi: 10.3934/dcdsb.2018240
[12]

Serap Ergün, Bariş Bülent Kırlar, Sırma Zeynep Alparslan Gök, Gerhard-Wilhelm Weber. An application of crypto cloud computing in social networks by cooperative game theory. Journal of Industrial & Management Optimization, 2017, 13 (5) : 1-15. doi: 10.3934/jimo.2019036
[13]

Yirmeyahu J. Kaminski. Equilibrium locus of the flow on circular networks of cells. Discrete & Continuous Dynamical Systems - S, 2018, 11 (6) : 1169-1177. doi: 10.3934/dcdss.2018066
[14]

Jiannan Zhang, Ping Chen, Zhuo Jin, Shuanming Li. Open-loop equilibrium strategy for mean-variance portfolio selection: A log-return model. Journal of Industrial & Management Optimization, 2017, 13 (5) : 0-0. doi: 10.3934/jimo.2019133
[15]

Anupam Gautam, Selvamuthu Dharmaraja. Selection of DRX scheme for voice traffic in LTE-A networks: Markov modeling and performance analysis. Journal of Industrial & Management Optimization, 2019, 15 (2) : 739-756. doi: 10.3934/jimo.2018068
[16]

Vikram Krishnamurthy, William Hoiles. Information diffusion in social sensing. Numerical Algebra, Control & Optimization, 2016, 6 (3) : 365-411. doi: 10.3934/naco.2016017
[17]

Pradeep Dubey, Rahul Garg, Bernard De Meyer. Competing for customers in a social network. Journal of Dynamics & Games, 2014, 1 (3) : 377-409. doi: 10.3934/jdg.2014.1.377
[18]

Alina Macacu, Dominique J. Bicout. Effect of the epidemiological heterogeneity on the outbreak outcomes. Mathematical Biosciences & Engineering, 2017, 14 (3) : 735-754. doi: 10.3934/mbe.2017041
[19]

W. E. Fitzgibbon, M.E. Parrott, Glenn Webb. Diffusive epidemic models with spatial and age dependent heterogeneity. Discrete & Continuous Dynamical Systems - A, 1995, 1 (1) : 35-57. doi: 10.3934/dcds.1995.1.35
[20]

Zhisheng Shuai, P. van den Driessche. Impact of heterogeneity on the dynamics of an SEIR epidemic model. Mathematical Biosciences & Engineering, 2012, 9 (2) : 393-411. doi: 10.3934/mbe.2012.9.393

 Impact Factor: 

Tools

Metrics

  • PDF downloads (16)
  • HTML views (0)
  • Cited by (3)

Other articles
by authors

[Back to Top]

Copyright © 2020 American Institute of Mathematical Sciences