{"id":"W3014768785","doi":"10.36227/techrxiv.12061662.v1","title":"Identifying Social Media Influencers using Graph Analytics","year":2020,"lang":"en","type":"preprint","venue":"","topic":"Complex Network Analysis Techniques","field":"Physics and Astronomy","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"Lakehead University","funders":"","keywords":"Influencer marketing; Social media; Computer science; Social network analysis; Graph; Analytics; Information sharing; Data science; Social network (sociolinguistics); Social media analytics; World Wide Web; Data mining; Theoretical computer science; Business","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001025878,0.001064851,0.0006693361,0.008966401,0.0007490523,0.002125699,0.0007823373,0.0006626959,0.001617975],"category_scores_gemma":[0.00755412,0.0003209093,0.0007689628,0.004786328,0.0006109364,0.002240541,0.0009864391,0.0006585967,0.0007437465],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006366886,"about_ca_system_score_gemma":0.0005082791,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005006896,"about_ca_topic_score_gemma":0.006256348,"domain_scores_codex":[0.9984832,0.0004575059,0.00006845968,0.0002941171,0.0005909228,0.0001057047],"domain_scores_gemma":[0.994599,0.00339888,0.0007440082,0.0003761446,0.0006691117,0.0002129431],"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":[0.0007022814,0.0009051078,0.1716441,0.001297737,0.000974852,0.001678447,0.002587974,0.1891616,0.0329024,0.08379351,0.0222359,0.492116],"study_design_scores_gemma":[0.00002827614,0.0001116089,0.03092455,0.00006130083,0.0001276145,0.0003767113,0.001136231,0.9020984,0.008648831,0.04404786,0.0123837,0.00005480547],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.432182,0.001843824,0.5357274,0.0009444873,0.000126981,0.0006676905,0.005137264,0.004030595,0.01933974],"genre_scores_gemma":[0.9129339,0.0007363015,0.0805971,0.00006213252,0.000122405,0.0001941154,0.003181819,0.0001370147,0.00203524],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.008966401,"threshold_uncertainty_score":0.009955525,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1058032998645926,"score_gpt":0.347804998868497,"score_spread":0.2420016990039043,"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."}}