2018-2021 刊物

• 2021
  • H.‑L. Botterman, R. Lamarche‑Perrin : “Link weights recovery in heterogeneous information networks”, Computational Social Networks, vol. 8, pp. 15, (Springer) (2021)
  • P. Ramaciotti Morales, R. Lamarche‑Perrin, R. Fournier‑S'niehotta, R. Poulain, L. Tabourier, F. Tarissan : “Measuring diversity in heterogeneous information networks”, Theoretical Computer Science, vol. 859, pp. 80-115, (Elsevier) (2021)
• 2019
  • A. Wilmet, T. Viard, M. Latapy, R. Lamarche‑Perrin : “Degree-based Outlier Detection within IP Traffic Modelled as a Link Stream”, Computer Networks, vol. 161, pp. 197-209, (Elsevier) (2019)
  • H.‑L. Botterman, R. Lamarche‑Perrin : “Combining path-constrained random walks to recover link weights in heterogeneous information networks”, CompleNet 2019 - 10^th Conference on Complex Networks, Springer Proceedings in Complexity, Tarragona, Spain, pp. 97-109, (Springer) (2019)
  • A. Wilmet, R. Lamarche‑Perrin : “Multidimensional Outlier Detection in Interaction Data: Application to Political Communication on Twitter”, International Workshop on Complex Networks, Tarragona, Spain, pp. 147-155, (Springer) (2019)
  • R. Lamarche‑Perrin : “An Information-theoretic Framework for the Lossy Compression of Link Streams”, Theoretical Computer Science, (Elsevier) (2019)
• 2018
  • H.‑L. Botterman, C. Grasland, R. Lamarche‑Perrin, R. Leconte, M. Severo, É. Toureille : “The International Geomedia Agenda: ODYCCEUS Deliverable 1.3”, 55 p. pages (2018)
  • A. Wilmet, T. Viard, M. Latapy, R. Lamarche‑Perrin : “Degree-based Outliers Detection within IP Traffic Modelled as a Link Stream”, 2018 Network Traffic Measurement and Analysis Conference (TMA), Vienna, Austria, pp. 1-8, (IEEE) (2018)
  • M. Severo, R. Lamarche‑Perrin : “Mining Political Opinion on Twitter: Challenges and Opportunities of Multiscale Approaches”, Revue française de sociologie, vol. 59 (3), pp. 507-532, (Presses de Sciences Po / Centre National de la Recherche Scientifique) (2018)