Data Profiling and Machine Learning to Identify Influencers from Social Media Platforms

Authors

  • Bahaa Eddine Elbaghazaoui Laboratory of Computer Sciences, Faculty of Sciences Kenitra, IbnTofail University, Morocco https://orcid.org/0000-0002-3206-5162
  • Mohamed Amnai Laboratory of Computer Sciences, Faculty of Sciences Kenitra, IbnTofail University, Morocco
  • Youssef Fakhri Laboratory of Computer Sciences, Faculty of Sciences Kenitra, IbnTofail University, Morocco

DOI:

https://doi.org/10.13052/jicts2245-800X.1026

Keywords:

Data profiling, machine learning, pagerank, influecer, social media

Abstract

Because of the numerous applications domains in which social media networks can be used, the huge volume of data and information uploaded by them is gaining significant interest. Publishing allows consumers to express their thoughts on products and services. Some feedbacks could also influence other users on those things. Therefore, extracting and identifying influencers from social media networks, also profiling their product perceptions and preferences, is critical for marketers to use efficient viral marketing and recommendation strategies. Our major goal in this research is to find the best machine learning model for characterizing influencers on social media networks. However, to achieve this objective, our strategy revolves around applying the PageRank algorithm to profile influential nodes throughout the social media network graph. The results of our experiment showed that the correlation is always different when adding a new parameter to machine learning models, also to determine the suitable model for our needs. In any event, the experiment outcomes are critical and significant to profiling influencers from social media platforms.

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Author Biographies

Bahaa Eddine Elbaghazaoui, Laboratory of Computer Sciences, Faculty of Sciences Kenitra, IbnTofail University, Morocco

Bahaa Eddine Elbaghazaoui started their course with a scientific baccalaureate option mathematical science. In 2013, after directly integrating the national school of applied sciences in Khouribga, he passed the preparatory classes that integrate into the school, then he hooked the computer engineering sector and obtained a diploma as a software engineer in 2019. Bahaa Eddine is currently a third-year doctoral student in 2022, he doing his research in the Laboratory of Computer Science in Kenitra, Morocco.

Mohamed Amnai, Laboratory of Computer Sciences, Faculty of Sciences Kenitra, IbnTofail University, Morocco

Mohamed Amnai received his bachelor’s degree in 2000, in IEEA (Computers, Electronics, Electrical and Automation) from Molay Ismail’s University, the Errachidia city. Then, the author obtained his master’s degree in 2007, from Ibn Tofail University, the Kenitra city. In 2011, he received his Ph.D. in Telecommunication and computer science, from Ibn Tofail University in Kenitra city, Morocco. Since March 2014, he has been an Assistant at the National School of Applied Sciences Khouribga, Settat University, Morocco. He joined the Faculty of Sciences of Kénitra, Department of Computer Science and Mathematics, Ibn Tofail University, Morocco, as an Associate Professor in 2018. The author is also an associate member of the Research Laboratory in Computer Science and Telecommunications (LaRIT), Team Networks and Telecommunications Faculty of Science, Kenitra, Morocco. He is also an associate member of laboratory IPOSI National School of Applied Sciences, Sultan Moulay Slimane University, Khouribga, Morocco.

Youssef Fakhri, Laboratory of Computer Sciences, Faculty of Sciences Kenitra, IbnTofail University, Morocco

Youssef Fakhri received his Bachelor’s Degree (B.S) in Electronic Physics in 2001 and his Master’s Degree (DESA) in Computer and Telecommunication from the Faculty of Sciences, University Mohammed V, Rabat, Morocco, in 2003, where he developed his Master’s Project at the ICI Company, Morocco. He received a Ph.D. in 2007 from the University Mohammed V – Agdal, Rabat, Morocco, in collaboration with the Polytechnic University of Catalonia (UPC), Spain. He joined the Faculty of Sciences of Kénitra, Department of Computer Science and Mathematics, Ibn Tofail University, Morocco, as an Associate Professor on Mars in 2009. He is the Laboratory head at LaRIT, Associate Researcher at the Laboratory for Research in Computing and Telecommunications (LaRIT) in the Faculty of Sciences of Rabat, and Member of Pole of Competences STIC Morocco.

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Bahaa Eddine Elbaghazaoui, Amnai Mohamed & Youssef Fakhri. “Optimized influencers profiling from social media based on Machine Learning”. Proceedings of ICI2C’21, Book: Advances in Information, Communication and Cybersecurity. Series: Lecture Notes in Networks and Systems 2367–3370. Springer. 2022.

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Published

2022-05-07

Issue

Section

Intelligent Systems for Smart Applications