{"url":"/dataset/group-law","name":"Group LAW","full_name":"LAW | SuiteSparse Matrix Collection","description_markdown":"URL: https://sparse.tamu.edu/LAW\r\n\r\nLaboratory for Web Algorithmics (LAW), Università degli Studi di Milano\r\nhttp://law.di.unimi.it/index.php\r\n\r\nWhen using matrices in the LAW/ group in the collection, please follow the\r\ncitation instructions at http://law.di.unimi.it/datasets.php\r\n\r\nIf you publish results based on these graphs, please acknowledge the usage of\r\nWebGraph and LLP by quoting the following papers:\r\n\r\n@inproceedings{BoVWFI,\r\n  author =\"Paolo Boldi and Sebastiano Vigna\",\r\n  title = \"The {W}eb{G}raph Framework {I}: {C}ompression Techniques\",\r\n  year = 2004,\r\n  booktitle=\"Proc. of the Thirteenth International World Wide Web Conference (WWW 2004)\",\r\n  address=\"Manhattan, USA\",\r\n  pages=\"595--601\",\r\n  publisher=\"ACM Press\"\r\n}\r\n\r\n@inproceedings{BRSLLP,\r\n  author = \"Paolo Boldi and Marco Rosa and Massimo Santini and Sebastiano Vigna\",\r\n  title = \"Layered Label Propagation: A MultiResolution Coordinate-Free Ordering\r\n  for Compressing Social Networks\",\r\n  booktitle=\"Proceedings of the 20th international conference on World Wide Web\",\r\n  year = 2011,\r\n  publisher=\"ACM Press\"\r\n}","description_withheld":null,"homepage":"https://sparse.tamu.edu/LAW","introduced_date":null,"introduced_date_note":null,"introduced_by":null,"license":null,"modalities":[],"tasks":[],"languages":[],"variants":["Group LAW"],"data_loaders":[],"num_papers_in_archive":1,"source":{"archive":"pwc-archive (Hugging Face), CC BY-SA 4.0","snapshot":"2025-07-28"},"benchmarks":[],"papers_with_a_benchmark_row":[],"syntology_totals":{"read_at":"2026-09-24T18:15:14+00:00","papers_with_samples":0,"samples_harvested":0,"samples_ran":0,"samples_unverified":0,"pointer_only_for_licence":0,"papers_with_no_sample_that_ran":0,"note":"the per-paper counts above, summed; not a rate"},"papers_note":"The archive never published its papers-using-dataset list; these are papers with a leaderboard row on this dataset's benchmarks."}