Consensus and Polarization in Competing Complex Contagion Processes

Flávio L. Pinheiro, Vítor V. Vasconcelos, Simon A. Levin

Research output: Working paper

Abstract

In many situations, the rate of adoption of new information depends on reinforcement from multiple sources in a way that cannot be described by simple contagion processes. In such cases, contagion is said to be complex. This has been found in the diffusion of human behaviors, innovations, and knowledge. Based on that evidence, we propose a new model considering multiple,
potentially asymmetric, and competing contagion processes and analyze its respective populationwide complex contagion dynamics. We show that the model spans a dynamical space in which the population exhibits patterns of polarization, consensus, and dominance, a richer dynamical environment that contrasts with single simple contagion processes. We find that these patterns are present
for different population structures. We show that structured interactions increase the range of the dominance regime by reducing that of polarization. Finally, we show that external agents designing seeding strategies, to optimize social influence, can dramatically change the coordination threshold for opinion dominance, while being rather ineffective in the remaining dynamical regions.
Original languageEnglish
PublisherCornell University (ArXiv)
Pages1-6
Number of pages6
Publication statusPublished - 20 Nov 2018

Publication series

NamearXiv.org

Fingerprint

polarization
human behavior
inoculation
reinforcement
thresholds
interactions

Keywords

  • Opinion Dynamics
  • Contagion Processes
  • Complex Networks
  • Population Dynamics

Cite this

Pinheiro, F. L., Vasconcelos, V. V., & Levin, S. A. (2018). Consensus and Polarization in Competing Complex Contagion Processes. (pp. 1-6). (arXiv.org). Cornell University (ArXiv).
Pinheiro, Flávio L. ; Vasconcelos, Vítor V. ; Levin, Simon A. / Consensus and Polarization in Competing Complex Contagion Processes. Cornell University (ArXiv), 2018. pp. 1-6 (arXiv.org).
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Pinheiro, FL, Vasconcelos, VV & Levin, SA 2018 'Consensus and Polarization in Competing Complex Contagion Processes' arXiv.org, Cornell University (ArXiv), pp. 1-6.

Consensus and Polarization in Competing Complex Contagion Processes. / Pinheiro, Flávio L.; Vasconcelos, Vítor V.; Levin, Simon A.

Cornell University (ArXiv), 2018. p. 1-6 (arXiv.org).

Research output: Working paper

TY - UNPB

T1 - Consensus and Polarization in Competing Complex Contagion Processes

AU - Pinheiro, Flávio L.

AU - Vasconcelos, Vítor V.

AU - Levin, Simon A.

PY - 2018/11/20

Y1 - 2018/11/20

N2 - In many situations, the rate of adoption of new information depends on reinforcement from multiple sources in a way that cannot be described by simple contagion processes. In such cases, contagion is said to be complex. This has been found in the diffusion of human behaviors, innovations, and knowledge. Based on that evidence, we propose a new model considering multiple,potentially asymmetric, and competing contagion processes and analyze its respective populationwide complex contagion dynamics. We show that the model spans a dynamical space in which the population exhibits patterns of polarization, consensus, and dominance, a richer dynamical environment that contrasts with single simple contagion processes. We find that these patterns are presentfor different population structures. We show that structured interactions increase the range of the dominance regime by reducing that of polarization. Finally, we show that external agents designing seeding strategies, to optimize social influence, can dramatically change the coordination threshold for opinion dominance, while being rather ineffective in the remaining dynamical regions.

AB - In many situations, the rate of adoption of new information depends on reinforcement from multiple sources in a way that cannot be described by simple contagion processes. In such cases, contagion is said to be complex. This has been found in the diffusion of human behaviors, innovations, and knowledge. Based on that evidence, we propose a new model considering multiple,potentially asymmetric, and competing contagion processes and analyze its respective populationwide complex contagion dynamics. We show that the model spans a dynamical space in which the population exhibits patterns of polarization, consensus, and dominance, a richer dynamical environment that contrasts with single simple contagion processes. We find that these patterns are presentfor different population structures. We show that structured interactions increase the range of the dominance regime by reducing that of polarization. Finally, we show that external agents designing seeding strategies, to optimize social influence, can dramatically change the coordination threshold for opinion dominance, while being rather ineffective in the remaining dynamical regions.

KW - Opinion Dynamics

KW - Contagion Processes

KW - Complex Networks

KW - Population Dynamics

UR - https://arxiv.org/pdf/1811.08525.pdf

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BT - Consensus and Polarization in Competing Complex Contagion Processes

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Pinheiro FL, Vasconcelos VV, Levin SA. Consensus and Polarization in Competing Complex Contagion Processes. Cornell University (ArXiv). 2018 Nov 20, p. 1-6. (arXiv.org).