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Nouamane Arhachoui

I’m a Temporary Teaching and Research Fellow (ATER) at the LIP6 lab - Sorbonne University. Prior to that, I was a PhD Student in Computer Science at the same lab. My current work focuses on developing influence-aware community detection algorithms for Online Social Networks. This means that I design algorithms that incorporate users’ interactions to the network structure of social platforms to find opinion groups and influence propagation. I’m a member of the Complex Networks research team at the LIP6.

EXPERIENCE

  • 01/2026 – present

    Temporary Teaching and Research Fellow (ATER) – LIP6, Sorbonne University

  • 09/2022 – 01/2026

    PhD Candidate – LIP6, Sorbonne University

  • 03/2022 – 08/2022

    Research Internship – LIP6, Sorbonne University

  • 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

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. From Individual to Collective Influence in Online Social Platforms: Metrics, Algorithms and Applications
    Nouamane Arhachoui
    Jan. 2026
  2. Multi-relational Community Detection in Social Platforms Using Graph Neural Networks
    Nouamane Arhachoui, Vincent Gauthier, Anastasios Giovanidis, and Lionel Tabourier
    In Proceedings of The Fifth France’s International Conference on Complex Systems (FRCCS). pp. 112–123. 2025
  3. Scalable Algorithms to Measure User Influence in Social Networks
    Nouamane Arhachoui, Esteban Bautista, Maximilien Danisch, Anastasios Giovanidis, and Lionel Tabourier
    In Social Network Analysis and Mining Applications in Healthcare and Anomaly Detection. Lecture Notes in Social Networks. Springer. pp. 63–92. 2024