The influence of community structure on opinion expression: an agent-based model

Area of Science:

• Social Sciences
• Computational Social Science
• Network Science

Background:

• Social media significantly shapes public discourse on controversial topics.
• Understanding opinion formation in connected online environments is crucial for businesses monitoring public sentiment.
• The spiral of silence theory explains discrepancies between perceived and actual public opinion, but its social media manifestation is complex.

Purpose of the Study:

• To investigate the impact of network structure, specifically the number of communities and inter-community connectivity, on the perceived opinion climate within social media.
• To model the spiral of silence phenomenon in the context of social media network architectures.

Main Methods:

• Agent-based modeling was employed to simulate opinion dynamics within social media networks.
• The study analyzed how varying numbers of communities and levels of connectivity between them influenced the emergence of a spiral of silence.

Main Results:

• Increased connectivity between communities within a social media network significantly elevates the likelihood of a global spiral of silence.
• Networks with a greater number of smaller, fragmented communities appear to create more "safe spaces" where minority opinions can be expressed and potentially prevail.

Conclusions:

• Network topology, particularly community structure and inter-community links, plays a critical role in shaping opinion dynamics and the spiral of silence on social media.
• The findings suggest that social media platform design and community management strategies could influence the overall health of public discourse.