# Mining the Social Web

The official online compendium for Mining the Social Web, 2nd Edition (O'Reilly, 2013)

Repository: https://github.com/ptwobrussell/Mining-the-Social-Web-2nd-Edition
Canonical: https://ross.abutalabs.com/products/mining-the-social-web
Homepage: http://bit.ly/135dHfs
Language: HTML
License: NOASSERTION
License Family: other
Last push: 2022-07-11T22:34:14+00:00

## Health v2 (maintenance only)
Score: 32/100 (v2, computed 2026-09-03T02:39:23.370411+00:00)
- activity 0, release rhythm 35, longevity 100
- inputs: {"age_days": 4873, "days_push": 1514, "days_rel": null, "gap_med": null, "n_releases_24m": 0}
- flags: no_releases, no_license
- formula: round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10)

## Adoption (not part of the score)
Stars 2878, forks 1449 (observed 2026-08-28T04:07:27.514497+00:00)

## What it is
The official code companion repository for the book 'Mining the Social Web, 2nd Edition' (O'Reilly, 2013), containing Jupyter notebook examples for mining social media data. It has been superseded by the 3rd Edition repository, which is ported to Python 3 with a Docker-based setup.

## Use cases
- learn to mine twitter data with python
- analyze social media data for a data science course
- scrape and analyze facebook and linkedin data
- learn natural language processing on social web content
- find example notebooks for social network analysis
- follow a book tutorial on web mining

## When to choose
- you are specifically following the 2nd edition of the book
- you need the original Python 2 example code for reference

## When to avoid
- you want up-to-date, maintained code - use the 3rd edition repository instead
- you need Python 3 support
- you want current social media API examples, since many APIs used here have changed

## Facets
- artifact type: learning-resource
- maturity: abandoned
- function: data-science, web-scraping, nlp, machine-learning, data-visualization
- domain: data-science, social-media, tutorials
- platform: python, cross-platform
- tags: book-companion, jupyter-notebooks, social-web-mining, twitter-api, oreilly, superseded, natural-language-processing

## Member repositories
- ptwobrussell/Mining-the-Social-Web-2nd-Edition (main) score 32
- ptwobrussell/Mining-the-Social-Web (mirror) score 32

## Provenance
- Observed fields: from GitHub, fetched 2026-08-28T04:07:27.514497+00:00.
- Health v2: computed from the inputs above; adoption is never an input.
- Inferred fields (summary, facets, guidance): AI-extracted, prompt v1, taxonomy v1, on 2026-08-30T07:35:34.485487+00:00, confidence not recorded.
  - readme: https://github.com/ptwobrussell/Mining-the-Social-Web-2nd-Edition (fetched 2026-08-28T04:07:27.514497+00:00, sha 98146ecbcf15)
- Data as of 2026-08-30T08:39:29.467469+00:00.