Bookwise Social Activation Study

Bookwise Social Activation

Page 2 of 7 — What does social engagement look like across users?

Social Graph Overview

7,759
Follow Edges
2,666
Mutual Follow Pairs
68.7%
Reciprocity Rate
0.037
Graph Density
High reciprocity, low density. Nearly 69% of follow edges are mutual, suggesting intentional social connections rather than broadcast-style following. But with a density of only 3.7%, the graph is quite sparse — most possible connections don't exist.

The network is moderately connected with 69% reciprocity — when someone follows a user, there's a good chance they follow back.

Following Distribution

How many other users does each person follow?

Most users follow 6–20 people, suggesting the network has healthy breadth. 74 users follow nobody.

Follower Distribution

How many followers does each user have?

The 6–20 follower bucket is the mode. Only 35 users have zero followers — the network is filling in.

Kudos Distribution

How are kudos (given and received) distributed across the population?

Kudos Given

Kudos Received

Kudos are heavily skewed. 210 users (46%) have never given a single kudo, and 151 (33%) have never received one. A small cohort of power users drives most kudos activity.

46% of users have never given a kudo. This is a significant engagement gap — these users consume content but don't interact.

Lonely Active Readers

1
of 212 active readers

Only 1 active reader — mgutierrez1318 (profile 1663770) — with 5+ hours of reading time has zero social connections: no followers, no following, no kudos given or received.

This is surprisingly low. The social graph has excellent penetration among engaged readers. The activation challenge isn't about socially isolated power readers — it's about converting the 248 users with <5 hours who may not yet be engaged enough for social features to matter.

Correlation Heatmap

Pearson correlations between social and reading metrics across all 460 users.

Following Followers Kudos Given Kudos Recv Hours
Kudos received ↔ Hours (r=0.86) is the strongest cross-domain correlation. Users who read more receive far more kudos — but causality could run either way. Followers ↔ Kudos received (r=0.87) also stands out: popularity compounds across metrics.

Important caveat: The strong correlation between kudos and reading hours (0.86) is partly mechanical. In Bookwise, reading sessions are the primary social artifact — they appear in followers' feeds, and kudos are given ON those sessions. Users who read more generate more feed content, which creates more opportunities for kudos. This means kudos are downstream of reading, creating a chicken-and-egg problem we address in the hypothesis tests.