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Publications

  1. D. Majcherek, M.A. Weresa, C. Ciecierski, Socio-economic status and lifestyle or environment in relation to cancer risk – cluster analysis in Poland, Springer, 2020 (in reviews)
     
  2. B. Kamiński, P. Prałat, and F. Theberge, Artificial Benchmark for Community Detection (ABCD) - Fast Random Graph Model with Community Structure, Network Science (in reviews)
     
  3. D. Majcherek, M.A. Weresa, C. Ciecierski, Understanding regional risk factors for cancer: A Cluster Analysis of Lifestyle, Environment and Socio-Economic Status in Poland, Sustainability 2020, 12(21), 9080; https://doi.org/10.3390/su12219080
     
  4. B. Kamiński, P. Prałat, and P. Szufel (eds.), Proceedings of the 17th Workshop on Algorithms and Models for the Web Graph (WAW 2020), Lecture Notes in Computer Science, Springer, 2020
     
  5. A. Antelmi, G. Cordasco, V. Scarano, C. Spagnuolo, P. Szufel: Information Diffusion in Complex Networks: a model based on hypergraphs and its analysis, w: Proceedings of the 17th Workshop on Algorithms and Models for the Web Graph (WAW 2020), Lecture Notes in Computer Science, Springer, 2020
     
  6. C. Spagnuolo, G. Cordasco, P. Szufel, P. Prałat, V. Scarano, B. Kamiński, A. Antelmi: Analyzing, Exploring, and Visualizing Complex Networks via Hypergraphs using SimpleHypergraphs.jl, Internet Mathematics, pp. 32, 2020
     
  7. B. Kamiński, V. Poulin, P. Prałat, P. Szufel, & F. Théberge, (2019). Clustering via hypergraph modularity. PloS one, 14(11).
     
  8. A. Antelmi, G. Cordasco, B. Kamiński, P. Prałat, V. Scarano, C. Spagnuolo, P. Szufel: SimpleHypergraphs.jl-Novel Software Framework for Modelling and Analysis of Hypergraphs, w: Algorithms and Models for the Web Graph 16th International Workshop, WAW 2019, Brisbane, QLD, Australia, July 6-7, 2019, Proceedings, ed. K. Avrachenkov, P. Prałat, N. Ye, 2019, 115-129