A Statistical Overview of Behance
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analysis
img-proc
.gitignore
README.md
add-colors-props.py
basic-stats.py
convert-image-format.py
country-codes.csv
crawl-appreciations.py
crawl-collections.py
crawl-project-comments.py
crawl-project-images.py
crawl-projects.py
crawl-seed-users.py
crawl-users.py
create-induced-graphs.py
extract-seed-users.py
infer-user-genders.py
proj_vs_cols.py
requirements.txt
save-comments-into-csv.py
save-data-into-csv.py
save-users-into-csv.py
test-user-graph.py

README.md

Behance Data Analysis


Requirement

pip install -r requirements.txt

Running Crawlers

  • When prompted, you need to input an appropriate API key.
  1. crawl-recent-projects.py
  • Extract recently uploaded projects from Behance.
  1. extract-seed-users.py
  • Extract active users who are the authors of the recent projects.
  1. crawl-sample-users.py
  • Use a random walk strategy to sample users from the Behance network based on the seed users.
  1. crawl-sample-projects.py
  • Extract projects authored by the sampled users.
  1. crawl-sample-collections.py
  • Extract collections authored by the sampled users.
  1. crawl-sample-wips.py
  • Extract wips authored by the sampled users.
  1. save-users-into-csv.py
  • Convert the sample user data saved in MongoDb into a csv file.

Data Analysis Script

Extracting Image Features