Volume 11, Number 2

Web Crawler for Social Network User Data Prediction Using Soft Computing Methods


José L. V. Sobrinho, Gélson da Cruz Júnior and Cássio Dener Noronha Vinhal, Federal University of Goiás, Brazil


This paper addresses how elementary data from a public user profile in Instagram can be scraped and loaded into a database without any consent. Furthermore, discusses how soft computing methods such neural networks can be used to determine the popularity of a user’s post. Conclusively, raises questions about user’s privacy and how tools like this can be used for better or for worse


Social Network, Instagram, Business Intelligence, Soft Computing, Neural Network, User Privacy, ETL, Database, Node.js, Data Analysis