Networks Platform & Polarization Measurement
We decode hidden speech transmission patterns. We statistically measure how narratives travel across communities and how polarization impacts voter persuasion thresholds.
Mathematical mapping of polarization
When public debate splits into two opposing poles, traditional mean-based models fail. We deploy Sarle's Bimodality Coefficient (β_hist) to quantify the exact level of electoral cleavage.
Values of β > 0.555 signal that public opinion is no longer unimodal. In these environments, persuasion requires bridge-building strategies rather than generic speeches.
Network Dynamics Indicators
- Directed Influence Graph: Mapping who quotes and propagates each narrative.
- Betweenness Centrality: Identifying key actors with power to connect isolated bubbles.
- Fair Mood Index: Calibrated sentiment weighting official, neutral, and opposition channels.
- Burst Detection: Early detection of coordinated bot attacks or sudden narrative spikes.
1. Node Mapping
Identification of opinion hubs, niche influencers, and institutional accounts with their follower communities.
2. Contagion Analysis
Real-time simulation of how fast and deep a new topic spreads across network layers.
3. Counter-strategy
Targeted strategic responses designed to neutralize adverse narratives while minimizing political capital expenditure.