# BlogCatalog (single-membership subset)

**Task**: Blogger interest-group classification  
**Size band**: medium · **Label type**: semantic  
**Label column**: `group` · **Converter**: `converters/convert_blogcatalog.py`

Blogger friendship network whose original labels are multi-label (39 overlapping interest groups; a blogger can belong to up to 11). To fit the single-label contract, the converted graph keeps only bloggers with exactly one group membership and the induced subgraph on them.

## Labeling methodology (decision approved 2026-07-23)

The source `group` matrix is multi-label: of 10,312 bloggers, 7,460 (72.3%) belong to exactly one group, 2,852 to two or more. Three reductions were considered — (A) keep single-membership bloggers only, (B) assign multi-member bloggers a primary group, (C) one-vs-rest on a single group. **Option A was chosen**: it is the only reduction that invents no assignment rule and keeps labels exactly as authored.

- Kept: 7,460 single-membership bloggers; induced subgraph has 131,034 edges.
- Dropped: 2,852 multi-membership bloggers and all their edges (recorded in `metadata.json` under `conversion.labeling_rule`).
- 38 of the 39 groups survive (one group has no single-membership member).
- Original blogger matrix indices preserved in `neext/id_mapping.csv`.

Consequence: results are NOT directly comparable to multi-label BlogCatalog numbers in the embedding literature (deepwalk/node2vec macro-F1), which score all 10,312 bloggers with one-vs-rest classifiers. Implemented in `converters/convert_blogcatalog.py`.

## Converted graphs (neext/)

| graph | nodes | edges | classes | feature cols | isolated | class counts |
|---|---|---|---|---|---|---|
| default | 7,460 | 131,034 | 38 | 0 | 170 | 7: 970, 4: 597, 23: 514, 5: 504, 1: 481, 18: 432, … |

*Conversion notes*: Multi-label source (39 overlapping groups). Kept only bloggers with exactly one group membership (7,460 of 10,312; 72.3%) and the induced subgraph on them; multi-member bloggers and their edges are excluded rather than force-assigned a primary group. Original blogger indices in id_mapping.csv.

## Source

- [blogcatalog.mat](https://raw.githubusercontent.com/phanein/deepwalk/master/example_graphs/blogcatalog.mat) — 1,255,783 bytes, sha256 `d4f4fb89ce1ccd4b…`, fetched 2026-07-23

**License**: deepwalk repo GPL-3.0; data from ASU social computing repository  
**Citation**: Tang, Liu. Relational Learning via Latent Social Dimensions. KDD 2009.

- https://github.com/phanein/deepwalk

## Caveats

- Subset graph — 28% of bloggers (the multi-membership ones) are excluded, so published multi-label baselines don't apply.
- 38 imbalanced classes; use macro-averaged metrics.

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*Generated by converters/make_cards.py; stats from metadata.json. Raw files: `source/`. NEExT tables: `neext/`.*