Network Extremism
Network Extremism - Related Videos
02:18
Network Covalent Solids
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2020
Network covalent solids contain a three-dimensional network of covalently bonded atoms as found in the crystal structures of nonmetals like diamond, graphite, silicon, and some covalent compounds, such as silicon dioxide (sand) and silicon carbide (carborundum, the abrasive on sandpaper). Many minerals have networks of covalent bonds. To break or to melt a covalent network solid, covalent bonds must be broken. Because covalent bonds are relatively strong, covalent network solids are typically...
01:22
Absolute and Local Extreme Values
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2026
The highest and lowest values of a function, relative to a reference axis, are known as extreme values. These include absolute maximum and absolute minimum values, which represent the highest and lowest points the function reaches across its entire domain. Within a restricted portion of the function, the highest and lowest values are referred to as local maximum and local minimum values, respectively.Periodic functions, such as sine and cosine, show extreme values at infinitely many points due...
02:26
Protein Networks
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2020
An organism can have thousands of different proteins, and these proteins must cooperate to ensure the health of an organism. Proteins bind to other proteins and form complexes to carry out their functions. Many proteins interact with multiple other proteins creating a complex network of protein interactions. These interactions can be represented through maps depicting protein-protein interaction networks, represented as nodes and edges. Nodes are circles that are representative of a protein,...
12:27
Piping Networks and Pressure Losses
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2023
Source: Alexander S Rattner, Department of Mechanical and Nuclear Engineering, The Pennsylvania State University, University Park, PA This experiment introduces the measurement and modeling of pressure losses in piping networks and internal flow systems. In such systems, frictional flow resistance from channel walls, fittings, and obstructions causes mechanical energy in the form of fluid pressure to be converted to heat. Engineering analyses are needed to size flow hardware to ensure...
07:44
Resonance Raman Spectroscopy of Extreme Nanowires and Other 1D Systems
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Cited by 1 •
2016
The paper describes a method for producing extreme nanowires by melt infiltration into carbon nanotubes and how 1D systems may be characterized and investigated using Resonance Raman Spectroscopy to determine vibrational and optical excitation energies.
FAQs
Repeated interaction strengthens social identity, the sense that membership in a group is central to a person’s self-understanding. As members communicate, conformity pressures may increase and emotional validation can make shared interpretations feel more credible. These processes can reinforce extreme beliefs or behaviors over time, particularly when group interaction repeatedly rewards agreement and shared commitment.
Selective exposure limits contact with information that challenges a group’s existing views, while group polarization can move members toward more extreme positions after discussion with like-minded participants. Together, these processes may narrow interpretation and intensify certainty. Their relevance extends across online communities and offline groups where repeated communication reinforces similar viewpoints.
Connections among members provide pathways through which information, persuasion, and emotional influence can reach additional people. A network can therefore extend ideas beyond the individuals who first express them and support collective mobilization. In psychological research, this structure helps explain how recruitment, intergroup hostility, and coordinated collective action may develop across connected settings.
Strong conviction alone does not establish extremism. Psychological analysis examines the broader pattern of group influence, including reinforced beliefs or behaviors, conformity, selective exposure, emotional validation, recruitment, and hostility between groups. This distinction helps avoid treating every passionate viewpoint as extremism while still examining how connected environments may support harmful escalation or mobilization.
Research can clarify how radicalization and recruitment develop within online and offline networks, as well as how intergroup hostility and collective action emerge. These findings support risk assessment by identifying relevant social and psychological processes rather than focusing only on isolated individuals. They also help connect network dynamics with broader questions about persuasion and group behavior.
Findings can guide prevention strategies, platform design, and interventions that encourage critical thinking, resilience, and constructive engagement. The goal is to address reinforcing social processes without assuming that every strongly held belief is extremist. This approach keeps psychological attention on how interaction, identity, conformity, and validation shape risk while supporting healthier forms of participation.