Data for Well-Connectedness and Community Detection

Park, Minhyuk; Tabatabaee, Yasamin; Warnow, Tandy; Chacko, George

doi:10.13012/B2IDB-6271968_V1

Illinois Data Bank - Dataset

Data for Well-Connectedness and Community Detection

Cite this dataset:

Park, Minhyuk; Tabatabaee, Yasamin; Warnow, Tandy; Chacko, George (2024): Data for Well-Connectedness and Community Detection. University of Illinois Urbana-Champaign. https://doi.org/10.13012/B2IDB-6271968_V1

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Dataset Description	This dataset contains files and relevant metadata for real-world and synthetic LFR networks used in the manuscript "Well-Connectedness and Community Detection (2024) Park et al. presently under review at PLOS Complex Systems. The manuscript is an extended version of Park, M. et al. (2024). Identifying Well-Connected Communities in Real-World and Synthetic Networks. In Complex Networks & Their Applications XII. COMPLEX NETWORKS 2023. Studies in Computational Intelligence, vol 1142. Springer, Cham. https://doi.org/10.1007/978-3-031-53499-7_1. “The Overview of Real-World Networks image provides high-level information about the seven real-world networks. TSVs of the seven real-world networks are provided as [network-name]_cleaned to indicate that duplicated edges and self-loops were removed, where column 1 is source and column 2 is target. LFR datasets are contained within the zipped file. Real-world networks are labeled _cleaned_ to indicate that duplicate edges and self loops were removed. #LFR datasets for the Connectivity Modifier (CM) paper ### File organization Each directory `[network-name]_[resolution-value]_lfr` includes the following files: * `network.dat`: LFR network edge-list * `community.dat`: LFR ground-truth communities * `time_seed.dat`: time seed used in the LFR software * `statistics.dat`: statistics generated by the LFR software * `cmd.stat`: command used to run the LFR software as well as time and memory usage information
Subject	Technology and Engineering
License	CC BY
Corresponding Creator	George Chacko
Downloaded	100 times
Related Materials (3) Dataset Park, Minhyuk; Tabatabaee, Yasamin; Warnow, Tandy; Chacko, George (2023): Data For Well-Connected Communities In Real Networks. University of Illinois at Urbana-Champaign. https://doi.org/10.13012/B2IDB-0908742_V1 Conference paper Park, M. et al. (2024). Identifying Well-Connected Communities in Real-World and Synthetic Networks. In: Cherifi, H., Rocha, L.M., Cherifi, C., Donduran, M. (eds) Complex Networks & Their Applications XII. COMPLEX NETWORKS 2023. Studies in Computational Intelligence, vol 1142. Springer, Cham. https://doi.org/10.1007/978-3-031-53499-7_1 Article Park M, Tabatabaee Y, Ramavarapu V, Liu B, Pailodi VK, et al. (2024) Well-connectedness and community detection. PLOS Complex Systems 1(3): e0000009. https://doi.org/10.1371/journal.pcsy.0000009

Versions

Version	DOI	Comment	Publication Date
1	10.13012/B2IDB-6271968_V1		2024-06-04

Files


Select all Open in Globus File Manager what's this?
CM_paper_LFR_data.zip 6.52 GB File
Screenshot_Overview_Img.png 169 KB File
cen_cleaned.tsv 1.37 GB File
cit_hepph_cleaned.tsv 5.98 MB File
cit_patents_cleaned.tsv 252 MB File
oc_integer_cleaned_el.tsv 22.5 GB File
orkut_cleaned.tsv 1.65 GB File
wiki_talk_cleaned.tsv 54.9 MB File
wiki_topcats_cleaned.tsv 359 MB File

Change Log

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