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Related Concept Videos

Groupthink01:34

Groupthink

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When in group settings, we are often influenced by the thoughts, feelings, and behaviors around us. Groupthink is another phenomenon of conformity where modification of the opinions of members in a group aligns with what they believe is the group consensus (Janis, 1972). In such situations, the group often takes action that individuals would not perform outside the group setting because groups make more extreme decisions than individuals do. Moreover, groupthink can hinder opposing trains of...
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Group Polarization01:01

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Group polarization is the strengthening of an original group attitude following the discussion of views within a group (Teger & Pruitt, 1967). That is, if a group initially favors a viewpoint, after discussion the group consensus is likely a stronger endorsement of the viewpoint. Conversely, if the group was initially opposed to a viewpoint, group discussion would likely lead to stronger opposition.
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Social Foundations of Self II: The Generalized Other01:20

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According to George Herbert Mead, as children progress beyond the game stage, they develop a more comprehensive understanding of societal rules and norms. This cognitive and social development enables them to internalize the expectations of the broader community, refining their ability to regulate behavior.Consistent participation in organized activities is crucial in helping children recognize that their actions are not isolated but contribute to a more significant, interconnected group...
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Social Proof00:52

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Social proof is a form of persuasion based on comparison and conformity. People compare their behavior and actions to what others are doing and will change to conform to do what their peers do.
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Self-Evaluation: Self-Enhancement and Self-Verification03:00

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Social psychologists have documented that feeling good about ourselves and maintaining positive self-esteem is a powerful motivator of human behavior (Tavris & Aronson, 2008). In the United States, members of the predominant culture typically think very highly of themselves and view themselves as good people who are above average on many desirable traits (Ehrlinger, Gilovich, & Ross, 2005). Often, our behavior, attitudes, and beliefs are affected when we experience a threat to our...
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Resistivity01:22

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When a voltage is applied to a conductor, an electrical field is generated, and charges in the conductor feel the force due to the electrical field. The current density that results depends on the electrical field and the properties of the material. In some materials, including metals at a given temperature, the current density is approximately proportional to the electrical field. In these cases, the current density can be modeled as:
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Related Experiment Video

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Integrating Computerized Linguistic and Social Network Analyses to Capture Addiction Recovery Capital in an Online Community
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Resilient Consensus for Expressed and Private Opinions.

Yilun Shang

    IEEE Transactions on Cybernetics
    |October 1, 2019
    PubMed
    Summary

    This study introduces a novel opinion formation model with private and expressed opinions in dynamic networks. It offers resilient strategies for consensus and clustering, even against adversarial influences.

    Area of Science:

    • Complex Systems
    • Network Science
    • Social Dynamics

    Background:

    • Understanding opinion dynamics in social networks is crucial.
    • Existing models often lack resilience to adversarial behavior.
    • The distinction between private and expressed opinions influences network interactions.

    Purpose of the Study:

    • To propose a novel opinion formation model incorporating private and expressed opinions.
    • To develop distributed strategies for opinion consensus and clustering in dynamic networks.
    • To ensure resilience against various adversarial threats within the network.

    Main Methods:

    • Development of a dual-opinion model (private and expressed).
    • Design of distributed opinion sifting strategies for resilience.

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  • Application of graph-theoretic criteria for consensus analysis.
  • Introduction of opinion clustering problems with resilient separation algorithms.

    • Main Results:

    • Sufficient and necessary graph-theoretic criteria for opinion consensus in directed and time-varying networks.
    • Characterization of resilient opinion clustering based on opinion ratios and differences.
    • Demonstrated effectiveness of proposed algorithms through numerical examples, including jury deliberations.

    Conclusions:

    • The proposed model and strategies offer robust opinion formation and consensus in dynamic networks.
    • Resilient opinion separation algorithms effectively address clustering challenges.
    • The findings have implications for understanding and managing group dynamics in complex systems.