{"id":"W4244938988","doi":"10.35940/ijrte.b1046.0982s1019","title":"Community Detection Algorithms for Big Data using Graph Theory","year":2019,"lang":"en","type":"article","venue":"International Journal of Recent Technology and Engineering (IJRTE)","topic":"Network Security and Intrusion Detection","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Cluster analysis; Computer science; Big data; Data mining; Graph; Algorithm; Theoretical computer science; Machine learning","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000805425,0.00008650586,0.0001284412,0.0006245322,0.00008230726,0.00005786354,0.001094593,0.0001258868,0.000004381544],"category_scores_gemma":[0.0001463629,0.00008147112,0.00003696667,0.0002987561,0.00002951142,0.0004290201,0.0003422094,0.0004631432,0.000001300125],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004963801,"about_ca_system_score_gemma":0.00002206296,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000004813633,"about_ca_topic_score_gemma":0.000003001814,"domain_scores_codex":[0.9993275,0.00003595903,0.0002420807,0.0001200261,0.0001555071,0.0001189258],"domain_scores_gemma":[0.9991538,0.0001101772,0.0001638528,0.0002897701,0.0002507983,0.00003160164],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00007385732,0.0000719735,0.0001783224,0.00001909585,0.0002140562,0.000007531653,0.000145136,0.002950742,0.02351548,0.01400479,0.00006488081,0.9587541],"study_design_scores_gemma":[0.002015388,0.0006710312,0.0007309612,0.0002818064,0.00004940937,0.002228303,0.0002173188,0.793941,0.0370152,0.05964163,0.1028005,0.0004074589],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2569075,0.0003142261,0.7377486,0.0004720144,0.004419556,0.00006100354,0.00000317762,0.00005994659,0.00001396207],"genre_scores_gemma":[0.978761,0.0006140603,0.02023352,0.00005477846,0.0003146042,0.000001516204,0.000002780607,0.000008024305,0.000009735299],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9583467,"threshold_uncertainty_score":0.3322296,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04111232352505107,"score_gpt":0.2683216325791504,"score_spread":0.2272093090540994,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). Scores rank; they never assert a category."}}