IrancellDatabase: A New Tool for Analyzing Mobile Data in Iran
IrancellDatabase is a new web-based tool that allows users to access and analyze mobile data from Irancell, the second largest mobile operator in Iran. IrancellDatabase was developed by a team of researchers from the University of Tehran, who collected and processed more than 10 terabytes of data from Irancell's network over a period of six months.
The tool enables users to explore various aspects of mobile data usage in Iran, such as the distribution of subscribers, the popularity of applications and services, the traffic patterns and trends, and the impact of events and policies on mobile data consumption. Users can also compare different regions, time periods, and user groups using interactive maps, charts, and tables.
IrancellDatabase aims to provide a comprehensive and reliable source of information for researchers, policymakers, journalists, and anyone interested in understanding the mobile data landscape in Iran. The tool also hopes to raise awareness about the potential and challenges of using mobile data for social good, as well as the ethical and privacy issues involved in collecting and analyzing such data.
IrancellDatabase is available online at https://irancelldatabase.ir. The tool is free and open to the public, but requires registration and verification for access. The team behind IrancellDatabase plans to update the tool regularly with new data and features.
Irancell is one of the four major mobile operators in Iran, along with MCI, RighTel, and Taliya. Irancell has more than 50 million subscribers, covering about 60% of the population. Irancell offers various services, such as voice, SMS, MMS, internet, and IPTV. Irancell also supports 2G, 3G, and 4G technologies, as well as WiMAX and TD-LTE.
The data collected by the researchers from Irancell's network includes information such as the subscriber ID, the location ID, the service ID, the application ID, the volume of data transferred, and the timestamp. The data does not include any personal or sensitive information, such as the phone number, the name, the address, or the content of the communication. The data was anonymized and aggregated before being stored and processed.
The researchers used various methods and tools to analyze the data, such as data mining, machine learning, network analysis, and visualization. They also applied different techniques to ensure the quality and validity of the data, such as data cleaning, filtering, normalization, and validation. The researchers also followed ethical guidelines and best practices to protect the privacy and security of the data and the users.
Some of the findings and insights from the data analysis include the following:
The average monthly data consumption per subscriber in Irancell was about 2.5 GB, which is higher than the global average of 1.9 GB.
The most popular applications and services in Irancell were YouTube, Instagram, Telegram, WhatsApp, and Google.
The peak hours of data usage in Irancell were between 9 PM and 12 AM, and the lowest hours were between 4 AM and 7 AM.
The data usage in Irancell varied significantly across different regions, with Tehran having the highest data consumption and Sistan and Baluchestan having the lowest.
The data usage in Irancell was influenced by various events and policies, such as the COVID-19 pandemic, the internet shutdowns, the fuel price protests, and the US sanctions.
The researchers hope that their work will contribute to the advancement of knowledge and innovation in the field of mobile data analysis, as well as to the improvement of mobile services and policies in Iran and beyond. aa16f39245