The work of few bad men or the dark shadow of American dream?[1,2]

Submission of group list:				19 Feb 2021
Submission of case study briefing:		26 Feb 2021
Project Presentation:				29-30 Apr 2021
Project Report submission:			8 May 2021

• Team Members: Wang Zhiyi, Zhang Siyu, Li Junjie
• Ref:
  • [1] https://en.wikipedia.org/wiki/Enron:_The_Smartest_Guys_in_the_Room
  • [2] https://www.bilibili.com/video/BV124411V7Zx?p=2&spm_id_from=pageDriver
• Data Source:
  • Kaggle Enron Dataset

This is a specification of data. This specification is compiled by the steps and topics.

• split_1: store the converted raw data by sengments, each segment composed by 10,000 emails, the last one is composed by 9,999.
• email_split: store the regular data extracted from split_1

• word_cloud: stores word cloud pictures in .pngs, and .txt stores the top 200 frequent words.
• word_hash:
• word_list:

• unweighted
  • gexf_files: graph stored in .gexf format.
  • gml_files: graph stored in .mgl format.
  • visualization: community detection pictures.
• weighted: not in use yet

• email_book.xlsx: store the persons' email address and name.
• email_corpus_by_selected_person: sotre the above persons' email address, email content, name, time stamp, status, etc.
• email_corpus: store the corpus of email content in .txt format.
  • each file stores 10,000 emails, the last one stores 9,999 emails.
• email_corpus_by_person: store the corpus by person, each file name represents an email send address.
• email_graph
  • unweighted: stores the "From" addresses and "To" addresses of each email.
  • unweighted_clean_data: stores the regular "From" addresses and "To" addresses of each email, recommanded to use.
  • Note: "Cc" addresses are treated as part of "To" addresses.