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Web Crawler for Social Network user Data Prediction using Soft Computing Methods


Affiliations
1 Federal University of Goias, 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.

Keywords

Social Network, Instagram, Business Intelligence, Soft Computing, Neural Network, User Privacy, ETL, Database, Node.js, Data Analysis.
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Abstract Views: 367

PDF Views: 161




  • Web Crawler for Social Network user Data Prediction using Soft Computing Methods

Abstract Views: 367  |  PDF Views: 161

Authors

Jose L. V. Sobrinho
Federal University of Goias, Brazil
Gelson da Cruz Junior
Federal University of Goias, Brazil
Cassio Dener Noronha Vinhal
Federal University of Goias, Brazil

Abstract


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.

Keywords


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

References