My DBLP profile is here and my Google Scholar profile is here.

International publications:

  1. KClist++: A Simple Algorithm for Finding k-Clique Densest Subgraphs in Large Graphs. B. Sun, M. Danisch, T-H. H. Chan, M. Sozio. VLDB2020. Paper, Code

  2. LouvainNE: Hierarchical Louvain Method for High Quality and Scalable Network Embedding. A. K. Bhowmick, K. Meneni, M.Danisch, J.-L. Guillaume, B. Mitra. WSDM2020. Paper, Code-LouvainNE, Code-RandNE

  3. A Modular Overlapping Community Detection Algorithm. M. Danisch, N. Gaumont, J.-L. Guillaume. CTW2018. Paper, Slides, Code

  4. Listing k-cliques in Sparse Real-World Graphs. M. Danisch, O. D. Balalau, M. Sozio. WWW2018. Paper, Slides, Code.

  5. Large Scale Density-friendly Graph Decomposition via Convex Programming. M. Danisch, T-H. H. Chan and M. Sozio. WWW2017. Paper, Slides, Code.

  6. Local Triangle-Densest Subgraphs. R. Samusevich, M. Danisch and M. Sozio. ASONAM2016.

  7. Finding Heaviest k-Subgraphs and Events in Social Media. Matthaios Letsios, Oana Balalau, Maximilien Danisch, Emmanuel Orsini and Mauro Sozio. DaMNet2016 (ICDM workshop). Paper, Slides, Code.

  8. On the Role of Mentions on Tweet Virality. S. Pramanik, Q. Wang, M. Danisch, A. Kumar, S. Bandi, J.-L. Guillaume and B. Mitra. DSAA2016.

  9. A reliable and evolutive web application to detect social capitalists in Twitter. N. Dugué, A. Perez, M. Danisch, F. Bridoux, A. Daviau, T. Kolubako, S. Munier and H. Durbano. ASONAM2015 Demo. Paper, APP.

  10. Learning a Proximity Measure to Complete a Community. M. Danisch, J.-L. Guillaume and B. Le Grand. DSAA2014. Paper.

  11. On the importance of considering social capitalism when measuring influence on Twitter. M. Danisch, N. Dugué and A. Perez. BESC2014. Paper.

  12. Direct Generation of Random Graphs Exactly Realising a Prescribed Degree Sequence. D. Obradovic and M. Danisch. CASoN2014. Paper.

  13. Mining bipartite graphs to improve semantic pedophile activity detection. R. Fournier and M. Danisch. RCIS2014 short paper. Paper.

  14. Multi-ego-centered communities in practice. M. Danisch, J.-L. Guillaume, B. Le Grand. SNAM2013. Paper.

  15. Unfolding ego-centered community structures with "a similarity approach". M. Danisch, J.-L. Guillaume and B. Le Grand. Complex Networks IV. Paper.

  16. Towards multi-ego-centered communities: a node similarity approach. M. Danisch, J.-L. Guillaume and B. Le Grand. Int. J. Web Based Communities 2013. Paper.

  17. Calculation of the Voronoi boundary for lens-shaped particles and spherocylinders. L. Portal, M. Danisch, A. Baule, R. Mari and H. A. Makse. J. Stat. Mech. 2013 . Paper.

  18. Model of random packings of different size balls. M. Danisch, Y. Jin, and H. A. Makse. Physical Review E 2010. Paper.

National publications:

  1. Déplier la structure communautaire d'un réseau en mesurant la proximité aux représentants de communauté. M. Danisch, J.-L. Guillaume and B. Le Grand. MARAMI2015. Paper.

  2. Augmenter les retweets sur Twitter : comment tirer parti des mentions ? S. Pramanik, Q. Wang, M. Danisch, M. Sharma, S. Bandi, J.-L. Guillaume, S. Raux, B. Mitra. MARAMI2015. Paper.

  3. Structures biparties et communautés recouvrantes des graphes de terrains. R. Tackx, M. Danisch and F. Tarissan. MARAMI2014. Paper.

  4. Prendre en compte le capitalisme social dans la mesure de l'influence sur Twitter. M. Danisch, N. Dugué and A. Perez. MARAMI2014. Paper.

  5. Complétion de communautés par l'apprentissage d'une mesure de proximité. M. Danisch, J.-L. Guillaume and B. Le Grand. ALGOTEL2014. Paper.

  6. Une approche à base de similarité pour la détection de communautés egocentrées. M. Danisch, J.-L. Guillaume and B. Le Grand. ALGOTEL2013. Paper.

  7. Déplier les structures communautaires egocentrées - une approche à base de similarité. M. Danisch, J.-L. Guillaume and B. Le Grand. Atelier Fouille de Grands Graphes, EGC 2013.

My thesis (in French) and the slides.