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Nouamane Arhachoui

I’m a PhD Student in Computer Science at the LIP6 lab - Sorbonne Université. My work focuses on developing graph algorithms and machine learning models that incorporate users’ interactions to the network structure of social platforms to detect opinion groups and influence propagation. I’m a member of the Complex Networks research team at the LIP6 and I’m affiliated with the Networks and Services department of Télécom SudParis, Institut Polytechnique de Paris.

EXPERIENCE

  • 09/2022 –

    PhD Candidate – LIP6, Sorbonne Université

  • 03/2022 – 08/2022

    Research Internship – LIP6, Sorbonne Université

  • 09/2021 – 08/2022

    Master of Science in Computer Science – Institut Polytechnique de Paris

  • 09/2019 – 08/2022

    Master of Engineering – Telecom SudParis

  • 09/2016 – 06/2019

    Preparatory class for French Engineering Schools – Lycée Marcel Sembat, Rouen

RESEARCH INTERESTS

  • Network Science
  • Graph Algorithms
  • Machine Learning
  • Social Network Analysis

SKILLS

  • Python (NumPy, NetworkX, SciPy, PyTorch, Scikit-Learn, ...)

  • Java

  • Bash

  • SQL

  • LaTeX

PROJECTS

07/2022 – Maintained

PsiScore
This Python library provides several implementations of the PsiScore, an influence metric that generalizes the PageRank in the context of social networks.

01/2022

OCaml Proof Assistant
A simple propositional prover written in OCaml.

RECENT PUBLICATIONS

[All Publications]
  1. Scalable Algorithms to Measure User Influence in Social Networks
    Nouamane Arhachoui, Esteban Bautista, Maximilien Danisch, Anastasios Giovanidis, and Lionel Tabourier
    Preprint, Accepted at Lecture Notes in Social Networks, Springer, 2023
  2. A Fast Algorithm for Ranking Users by their Influence in Online Social Platforms
    Nouamane Arhachoui, Esteban Bautista, Maximilien Danisch, and Anastasios Giovanidis
    In 2022 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining (ASONAM), vol. , pp. 526-533, 2022