# Reputation Modelling - Safety Example

We showcase how memetic bridges help ride-share networks use a common system to determine the safety ratings of their drivers.

### Step 1: Articulating the Culture

**What are the networks trying to measure?**
Whether a ride-share driver is a "safe" driver

**What are the networks trying to do?**
The networks are trying to identify unsafe drivers.

**Why is a memetic bridge beneficial to this?**
It allows for the networks to share information, allowing for an unsafe driver in one network being identified as an unsafe driver in all networks

### Step 2: Modelling the Reputation

**How are you planning on measuring this?**
A binary system
Either safe or unsafe

### Step 3: Finding Relevant Communities

**What other communities are relevant to this?**
- All other drive share communities or systems

**Why would they benefit from participating in this?**
- It would prevent unsafe or unprofessional drivers from participating in their network

### Step 4: Designing the Reputation

**How would this reputation look like?**
- A simple flag system
- One unsafe in one ecosystem, a user would be flagged and be labled unsafe in all other ecosystems participating

### An Example of a Safety Reputation System

- The peaks represent when the user is flagged as an unsafe driver
- The first peak is the initial flag
- The second and third is when the flag is picked up within another community
- Although the score does decrease over time, it remains above zero indicating an unsafe flag