{"id":"W2095047577","doi":"10.1145/1149941.1149945","title":"A social hypertext model for finding community in blogs","year":2006,"lang":"en","type":"article","venue":"","topic":"Complex Network Analysis Techniques","field":"Physics and Astronomy","cited_by":116,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Centrality; Hypertext; Computer science; World Wide Web; Set (abstract data type); Sense of community; Measure (data warehouse); Virtual community; Social network (sociolinguistics); Online community; Community structure; Social network analysis; Sample (material); Data science; Social media; The Internet; Information retrieval; Data mining; Psychology; Social psychology; Mathematics","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001609007,0.00007242097,0.000141697,0.00005181861,0.0001857435,0.00002255484,0.0001261419,0.00002126978,0.00007362331],"category_scores_gemma":[8.273129e-7,0.00007121403,0.0001001107,0.0001099473,0.00001776836,0.00004247599,0.00005011144,0.0001245165,0.00000240138],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002089586,"about_ca_system_score_gemma":0.0000126838,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002737285,"about_ca_topic_score_gemma":0.0008189987,"domain_scores_codex":[0.9995419,0.00003388995,0.0001455451,0.00007635233,0.00004298794,0.0001592979],"domain_scores_gemma":[0.999758,0.00006449053,0.00003525424,0.0001112233,0.00002077076,0.00001026491],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00002165063,0.0008024859,0.07595955,0.00001136699,0.00005812521,1.989179e-7,0.0008749248,0.009532901,0.001373603,0.8300022,0.05587078,0.02549222],"study_design_scores_gemma":[0.0002787049,0.000007020121,0.001768035,0.000003437236,0.00001403423,3.317275e-8,0.0001221399,0.6986787,0.0003023001,0.298192,0.0005205522,0.0001130833],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.595714,0.00000387703,0.3626382,0.0001266184,0.000004487856,0.0001445558,0.000007293864,0.00005596648,0.04130499],"genre_scores_gemma":[0.9924197,5.834486e-8,0.00601886,0.00003495297,0.0001157563,0.00005513719,0.00005049256,0.000008582226,0.001296482],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6891457,"threshold_uncertainty_score":0.4137975,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05231693195798651,"score_gpt":0.3176707360245781,"score_spread":0.2653538040665915,"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."}}