Analysis of Social Media Networks based on Self-organizing Feature Maps Approach for Social E-commerce Networks

E. A. Ebrahim, Mohamed; Fattouh Ibrahim, Lamia; A. Salman, Hesham

doi:10.21608/asc.2021.240047

Analysis of Social Media Networks based on Self-organizing Feature Maps Approach for Social E-commerce Networks

Document Type : Original Article

Authors

¹ Computer Science Department Faculty of Graduate Studies for Statistical Research, Cairo University, Giza, Egypt

² Faculty of information systems and computer science of October 6 University, Giza, Egypt; Computer Science Department Faculty of Graduate Studies for Statistical Research, Cairo University, Giza, Egypt

³ Computer Science Department, Higher Institute of Computers and Information Technology, Alshrouk Academy, Cairo, Egypt,

10.21608/asc.2021.240047

Abstract

Kohonen’s algorithm is a computational data analysis method. Social E-commerce mining requires human data analysts and automated software programs to sift through massive amounts of raw social media data. Social commerce networks using user frequent pattern mining.
This paper focused on discern patterns and trends relating to social media usage based on self-organizing map SOM algorithm for analysis of social media networks and websites to get user access patterns characteristics.

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