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The project is the implementation of quantitative or qualitative analysis of the largest social network in Russia, describing the features of the network either through numerical or visual representation.

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Datahound

BMSTU, 2017
___________________________
The project is the implementation of quantitative or qualitative analysis of the largest social 
network in Russia, describing the features of the network either through numerical or 
visual representation.

Example of settings.py (required)

import logging

TOKEN = "" # your token here
GOOGLE_TOKEN = ""   # your token here
BASE_URL = "https://api.vk.com/method/execute."
MEMBERS_FIELDS = "sex"  # bdate, city, country, online, online_mobile, education, last_seen, relation
PLATFORM = {1: "Mobile", 2: 'iPhone', 3: "iPad", 4: "Android",
            5: "Windows Phone", 6: "Windows 10", 7: "Web", 8: 'Unknown'}

SEX_COLORS = ['#FFD7E9', '#6495ED', '#B22222']
PLATFORM_COLORS = ['#66CDAA', '#EE5C42', '#B22222', '#1874CD']
SYSTEM_COLORS = ['#8B8386', '#FFE4C4']

COUNTRIES = {1: 'Россия',
             2: 'Украина',
             3: 'Беларусь',
             4: 'Казахстан',
             5: 'Азербайджан',
             6: 'Армения',
             7: 'Грузия',
             8: 'Израиль',
             9: 'США',
             10: 'Канада'}
             
logging.basicConfig(format='%(levelname)-8s [%(asctime)s] %(message)s',
                    level=LOG_LEVEL, filename='datahound.log')
                    

💥 To get your token please visit Получение ключа доступа

💥 Run pip3 install -r requirements.txt to install all dependencies at once.

TODO List

  • Async
  • Data Base
  • Tests
  • ???

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The project is the implementation of quantitative or qualitative analysis of the largest social network in Russia, describing the features of the network either through numerical or visual representation.

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