Behavioral Analysis of Iranian Users in a Mobile Social Network
Behavioral Analysis of Iranian Users in a Mobile Social Network is a scholarly work, published in 2018 in ''International Journal of Engineering and Technology''. The main subjects of the publication include complex network, psychology, Internet privacy, problematic social media use, World Wide Web, social network analysis, computer science, and social network. It's been almost more than fifteen years that social networks have become significant part of the authors' everyday life.Social networks being so mainstream and available, owes its availability to developments in some other fields.Mobile network developments have been very significant in recent years.Introducing technologies such as 3G or LTE have been a major reason for almost every mobile subscriber to use social networks services.That's the world that on demand access is more important than ownership.There are many different mobile social network applications, which competing each other with new services and feature every other day.In order to survive this competition there can be some analysis that can be done.One of them is about the behavioral aspect of users' activities, that authors can use to extract a pattern of users' activity in social network applications.These patterns can be used to analyze user acquisition or churn.In this paper authors will be talking about the behaviors of Iranian users in a mobile social network.We gathered the data by a third party application for Instagram and authors are going to use different methods of visualization, statistical methods and analysis to show different patterns in users behaviors.