{"url":"/dataset/phone-call-network-for-2-years-in-a-euro","name":"Phone call network for 2 years in a Euro country","full_name":"Phone call network for 2 years in a Euro country","description_markdown":"We employ a nationwide phone call dataset from Jan. 2015 to Dec. 2016.\r\nThe *log* interaction duration and *log* interaction frequency in each phase (intermediate results) are both provided. Currently, we upload the Results folder to Google Drive.\r\n(https://drive.google.com/drive/folders/1h4rHZvzzQO7niYMelbzToJZernOij1dv?usp=sharing)\r\n\r\nPlease download the files from google drive for replication purposes.\r\n\r\nIn each file, we list tie ranges and interactions in all phases. \r\nFor example, in 'Results/Graph_season_TR_Duration.txt', the former eight columns are tie range and the latter eight columns are *log* interaction duration.\r\nTie range is calculated by the length of the second shortest path of two nodes. \r\n'-1' means that one node of this connection has no interaction with others in this phase.\r\n'100' means that there is no second path between two nodes, indicating that the tie range is infinite.\r\n'101' means that the degree of one node is 1, indicating that the tie range is infinite.  \r\n\r\nDifferential privacy is applied to protect the privacy of users. \r\nConcretely, we add a Gaussian noise with μ=0, σ=5 to *log* interactions.\r\nWhen reproducing the results, please remove all *numpy.log* in the codes, and minus a σ for the calculation of error bars.","description_withheld":null,"homepage":"https://github.com/DingLyu/Investigating-and-Modeling-the-Dynamics-of-Long-Ties","introduced_date":"2022-01-03","introduced_date_note":null,"introduced_by":{"paper":"/paper/investigating-and-modeling-the-dynamics-of","title":"Investigating and Modeling the Dynamics of Long Ties","first_author":"Ding Lyu","url":null},"license":{"name":"MIT license","url":null},"modalities":[],"tasks":[],"languages":[],"variants":["Phone call network for 2 years in a Euro country"],"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":"2026-09-25T09:33:49+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."}