# Social Scores The **Social Score** is a proprietary composite index designed to quantify the short-term market impact of unique social discourse. It moves beyond simple mention volume to identify conversations that possess both *reach* and *financial consequence*. The score is algorithmically computed as: > **Social Score = (Unique Social Volume for Timespan) × (24-Hour Percentage Price Change)** **Deconstructing the Formula:** * **Unique Social Volume (USV):** This foundational variable represents the deduplicated count of unique authors/entities mentioning a specific asset within a set rolling window. By filtering out bot activity and spam, USV serves as a purified measure of genuine, organic community engagement. * **24-Hour Percentage Price Change:** This is the net asset price return over a 24-hour period, serving as the quantitative measure of market reaction. **Interpretation and Utility:** A high Social Score indicates a powerful confluence: a significant breadth of unique community engagement is correlating with a substantial price movement. This allows researchers to: * **Identify High-Impact Narratives:** Distinguish between mere "noise" (high volume with low price impact) and potent "signals" where social activity is a leading or coincident indicator of price volatility. * **Gauge Narrative Strength:** The magnitude of the score provides a quantitative measure of a narrative's current market influence. A rising score can signal an accelerating trend, while a divergence (e.g., high volume with stagnant price) may suggest trend exhaustion. * **Perform Cross-Asset Comparison:** The standardized score allows for the direct comparison of social-market impact across different cryptocurrencies, identifying which assets are currently dominating the social-financial landscape. Hence, Social Score transforms two isolated data points—social chatter and price action—into a single, powerful heuristic for assessing the tangible financial impact of community sentiment. --- # Agent Instructions: Querying This Documentation If you need additional information that is not directly available in this page, you can query the documentation dynamically by asking a question. Perform an HTTP GET request on the current page URL with the `ask` query parameter: ``` GET https://cryptobuzz.gitbook.io/cryptobuzz-docs/metrics/social-scores.md?ask= ``` The question should be specific, self-contained, and written in natural language. The response will contain a direct answer to the question and relevant excerpts and sources from the documentation. Use this mechanism when the answer is not explicitly present in the current page, you need clarification or additional context, or you want to retrieve related documentation sections.