Telegram group quality measurement by user behavior analysis

  • Ali Hashemi
  • Mohammad Ali Zare ChahookiEmail author
Original Article


Telegram is a cloud-based instant messenger with more than 200 million monthly active users. The new features introduced in Telegram such as channels, bots, supergroups, and advanced sharing mechanisms have risen up the instant messenger to a higher level. Telegram is now a new paradigm between social networks and instant messengers. Telegram is very popular and growing rapidly in many countries such as Iran, Uzbekistan, Indonesia, Brazil, and Russia. The importance and popularity of Telegram are even more highlighted by the fact that after censorship in Iran and Russia, users did not start using other messaging apps, but instead turned to VPN services to circumvent the block, rendering the censorship ineffective. A detailed analysis of Iranian users’ behavior in Telegram is shown in this research for the first time. The analysis and statistics may help interested parties in comprehending a deeper insight into Telegram users’ behavior. More than 900,000 Persian channels and 300,000 Persian supergroups have been discovered, crawled and inspected in this study. Based on our explorations, we devised a noble method to measure group qualities in Telegram. Group quality measurement is accomplished by several features we have extracted and studied in this paper.



  1. Arabtaheri M, Vafajoo A, Aliari A (2018) The impact of psychological implications of the Telegram Social Network on Juvenile Offenses with a Crime Prevention Approach. ENTEZAM-E-EJTEMAEI 9(4):201–220Google Scholar
  2. Bigdeloo M (2018) Investigating the relation of activity in virtual social networks with the political culture of Professors of Universities of Iran. Contemp Polit Stud 9(2):1–31Google Scholar
  3. Danaei A, Momen E (2018) Analysis of the impact of viral marketing in social networks on the purchase intention of consumers: a case study of Telegram Social Network. Trade Manag Res 9(18):243–267Google Scholar
  4. Kermani H (2018) The study of Iranian users’ reasons in preferring Telegram on other Instant Messaging Applications. Med Stud 13(1):7–20Google Scholar
  5. Mofidi MH, Kamyabigol A, Alizadeh A (2017) Persian linguistic rhetorical pathology in the Telegram Communication Network. Iran Cult Res 10(4):151–168Google Scholar
  6. Mofidi M, Kamyabigol A, Alizadeh A (2018) Cyberspace and farsi language: noncommercial writing on the Social Network of Telegram. Med Stud 12(3):65–83Google Scholar
  7. Nemati Far SNA, Razavi SAM (2018) Cognitive skills critical thinking in social networking users (Case Study Social Telegram Network). Med Stud 13(1):67–85Google Scholar
  8. Nobari AD, Reshadatmand N, Neshati M (2017) Analysis of Telegram, an instant messaging service. In: Proceedings of the 2017 ACM on conference on information and knowledge management, SingaporeGoogle Scholar
  9. Pirjalili Z, Mahdavi MS, Azkia M (2018) Impact of social network (Telegram) on family relations of couples (Tehran, 2016). Iran J Soc Prob 9(1):69–90Google Scholar
  10. Rezaei M, Shobeiri SM (2017) The effect of social networks usage on the promotion of pro-environmental behavior in Tourism (Case Study: Telegram Social Network). J Tour Plan Dev 6(21):28–53Google Scholar
  11. Saeidnia HR, Ghorbanzadeh D (2017) Examining factors affecting attitude and positive word of mouth among the Telegram users. New Mark Res 7(1):173–202Google Scholar
  12. Shobeiri SM (2018) The role of social networks on the culture of the teachers’ environmental values and beliefs: a case study of the telegram. Environ Educ Sustain Dev 6(2):37–43Google Scholar
  13. Ziviar F, Shahin M, Hasankhani J, Rahmati R (2018) The impact of using virtual social networks on the national identity of Iranian users: case study of Facebook and Telegram. Interdiscip Stud Med Cult 7(14):105–128Google Scholar

Copyright information

© Springer-Verlag GmbH Austria, part of Springer Nature 2019

Authors and Affiliations

  1. 1.Yazd UniversityYazdIran

Personalised recommendations