Hicham Bensaid

Work place: National Institute of Posts and Telecommunications, STRS Lab, Rabat, Morocco

E-mail: bensaid@inpt.ac.ma


Research Interests: Social Computing, Data Mining, Social Information Systems, Data Structures and Algorithms


Hicham Bensaid is an Assistant  Professor in the Mathematics, Informatics and Networks Department and a member of STRS Laboratory at National Institute of Posts and Telecommunications (INPT), Rabat. He is also a member of the SEEDS team and associate member of the Laboratory of Mathematics, Computing and Applications (LabMiA) of the Faculty of Sciences of the Mohammed V University in Rabat.

He received his Engineer Degree from ENSIMAG, France in 2001 and his Ph.D degree from Grenoble University, France in 2011. His research interests include  Automated Reasoning, Automated Theorem proving and Data Mining in Social Networks.

Author Articles
E-Reputation Prediction Model in Online Social Networks

By Mouna El Marrakchi Hicham Bensaid Mostafa Bellafkih

DOI: https://doi.org/10.5815/ijisa.2017.11.03, Pub. Date: 8 Nov. 2017

E-reputation management has become an important challenge for firms that try to improve their notoriety across the web and more specifically in social media. Indeed, the power of online communities to impact a brand’s image is undeniable and companies need a powerful system to measure their reputation as perceived by connected society. Moreover, they need to follow its variation and forecast its evolution to anticipate any impacting change. For this purpose we have implemented an Intelligent Reputation Measuring System (IRMS) that assesses reputation in online social networks on the basis of members’ activity and popularity. In this paper, we add a predictive module to IRMS that forecasts the evolution of reputation score using influence propagation algorithms.

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